question_id
stringlengths 64
64
| category
stringclasses 1
value | turns
sequencelengths 1
1
| ground_truth
stringlengths 2
3.05k
| task
stringclasses 3
values | livebench_release_date
timestamp[s] | livebench_removal_date
stringclasses 1
value |
|---|---|---|---|---|---|---|
e114ea800daa6938bd7bbc29c6fde32844324662764b5cb63d7e4e78c3b66c65 | data_analysis | [
"Please convert the Input Table from CSV format to JSON format. Please respond only with the table. \n Input Table: swsLengthHR,swsTimeHR,swsLengthT,swsTimeT,decreasePercentageT,swsTimeM,swsLengthM,decreasePercentageM\n0.40387,0.125,0.08702,0.03448,0.6986,0.05263,-0.73889,0.74472\n0.0,0.0,0.0,0.0,0.68042,0.18421,0.21577,0.79564\n0.35725,0.125,0.17935,0.10345,0.75992,0.28947,1.02812,0.88919\n0.08659,0.04167,0.0,0.0,0.7441,0.0,-1.00196,0.61898\n0.33737,0.16667,0.12945,0.06897,0.64663,0.05263,-0.79333,0.62288\n0.05548,0.04167,0.11269,0.03448,0.7798,0.23684,1.20461,0.71585\n0.32591,0.58333,0.02467,0.03448,0.66134,0.55263,0.73997,0.53467\n0.0,0.0,0.03896,0.03448,0.66269,0.15789,2.84312,0.65916\n0.06369,0.04167,0.39228,0.13793,0.73069,0.18421,0.45976,0.67106\n0.0,0.0,0.43818,0.13793,0.68326,0.13158,-0.3926,0.81514\n0.0,0.0,0.0,0.0,0.67266,0.0,-1.00196,0.96306\n \n Output: \n"
] | {"69":{"swsLengthHR":0.40387,"swsTimeHR":0.125,"swsLengthT":0.08702,"swsTimeT":0.03448,"decreasePercentageT":0.6986,"swsTimeM":0.05263,"swsLengthM":-0.73889,"decreasePercentageM":0.74472},"88":{"swsLengthHR":0.0,"swsTimeHR":0.0,"swsLengthT":0.0,"swsTimeT":0.0,"decreasePercentageT":0.68042,"swsTimeM":0.18421,"swsLengthM":0.21577,"decreasePercentageM":0.79564},"73":{"swsLengthHR":0.35725,"swsTimeHR":0.125,"swsLengthT":0.17935,"swsTimeT":0.10345,"decreasePercentageT":0.75992,"swsTimeM":0.28947,"swsLengthM":1.02812,"decreasePercentageM":0.88919},"54":{"swsLengthHR":0.08659,"swsTimeHR":0.04167,"swsLengthT":0.0,"swsTimeT":0.0,"decreasePercentageT":0.7441,"swsTimeM":0.0,"swsLengthM":-1.00196,"decreasePercentageM":0.61898},"23":{"swsLengthHR":0.33737,"swsTimeHR":0.16667,"swsLengthT":0.12945,"swsTimeT":0.06897,"decreasePercentageT":0.64663,"swsTimeM":0.05263,"swsLengthM":-0.79333,"decreasePercentageM":0.62288},"201":{"swsLengthHR":0.05548,"swsTimeHR":0.04167,"swsLengthT":0.11269,"swsTimeT":0.03448,"decreasePercentageT":0.7798,"swsTimeM":0.23684,"swsLengthM":1.20461,"decreasePercentageM":0.71585},"211":{"swsLengthHR":0.32591,"swsTimeHR":0.58333,"swsLengthT":0.02467,"swsTimeT":0.03448,"decreasePercentageT":0.66134,"swsTimeM":0.55263,"swsLengthM":0.73997,"decreasePercentageM":0.53467},"198":{"swsLengthHR":0.0,"swsTimeHR":0.0,"swsLengthT":0.03896,"swsTimeT":0.03448,"decreasePercentageT":0.66269,"swsTimeM":0.15789,"swsLengthM":2.84312,"decreasePercentageM":0.65916},"35":{"swsLengthHR":0.06369,"swsTimeHR":0.04167,"swsLengthT":0.39228,"swsTimeT":0.13793,"decreasePercentageT":0.73069,"swsTimeM":0.18421,"swsLengthM":0.45976,"decreasePercentageM":0.67106},"79":{"swsLengthHR":0.0,"swsTimeHR":0.0,"swsLengthT":0.43818,"swsTimeT":0.13793,"decreasePercentageT":0.68326,"swsTimeM":0.13158,"swsLengthM":-0.3926,"decreasePercentageM":0.81514},"44":{"swsLengthHR":0.0,"swsTimeHR":0.0,"swsLengthT":0.0,"swsTimeT":0.0,"decreasePercentageT":0.67266,"swsTimeM":0.0,"swsLengthM":-1.00196,"decreasePercentageM":0.96306}} | tablereformat | 2024-06-24T00:00:00 | |
09752b3d3e355017282301de1735bd903221368e1fadf3e64aa9594ef7730e62 | data_analysis | [
"Please convert the Input Table from HTML format to JSON format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>Country</th>\n <th>Inequality HDI</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Indonesia</td>\n <td>2</td>\n </tr>\n <tr>\n <td>Azerbaijan</td>\n <td>1</td>\n </tr>\n <tr>\n <td>Denmark</td>\n <td>0</td>\n </tr>\n <tr>\n <td>North Macedonia</td>\n <td>2</td>\n </tr>\n <tr>\n <td>Canada</td>\n <td>0</td>\n </tr>\n <tr>\n <td>Palau</td>\n <td>2</td>\n </tr>\n <tr>\n <td>Papua New Guinea</td>\n <td>3</td>\n </tr>\n <tr>\n <td>Samoa</td>\n <td>2</td>\n </tr>\n <tr>\n <td>Marshall Islands</td>\n <td>2</td>\n </tr>\n <tr>\n <td>Lebanon</td>\n <td>2</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | {"111":{"Country":"Indonesia","Inequality HDI":2},"88":{"Country":"Azerbaijan","Inequality HDI":1},"4":{"Country":"Denmark","Inequality HDI":0},"83":{"Country":"North Macedonia","Inequality HDI":2},"17":{"Country":"Canada","Inequality HDI":0},"70":{"Country":"Palau","Inequality HDI":2},"153":{"Country":"Papua New Guinea","Inequality HDI":3},"115":{"Country":"Samoa","Inequality HDI":2},"101":{"Country":"Marshall Islands","Inequality HDI":2},"108":{"Country":"Lebanon","Inequality HDI":2}} | tablereformat | 2024-06-24T00:00:00 | |
eb8aebddc3e1eff35a92de9e8306dfcfebd25201eefda2921b830226b5347dc5 | data_analysis | [
"Please convert the Input Table from HTML format to JSON format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>country</th>\n <th>code country</th>\n <th>Year</th>\n <th>Maize yield</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Low-income countries</td>\n <td>0</td>\n <td>1993</td>\n <td>1.675.252</td>\n </tr>\n <tr>\n <td>Lebanon</td>\n <td>LBN</td>\n <td>1971</td>\n <td>82.339.996</td>\n </tr>\n <tr>\n <td>United Kingdom</td>\n <td>GBR</td>\n <td>1999</td>\n <td>0</td>\n </tr>\n <tr>\n <td>Small Island Develop</td>\n <td>0</td>\n <td>1972</td>\n <td>1.0519</td>\n </tr>\n <tr>\n <td>Cuba</td>\n <td>CUB</td>\n <td>1964</td>\n <td>9.474</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | {"6792":{"country":"Low-income countries","code country":"0","Year":1993,"Maize yield":"1.675.252"},"2266":{"country":"Lebanon","code country":"LBN","Year":1971,"Maize yield":"82.339.996"},"8256":{"country":"United Kingdom","code country":"GBR","Year":1999,"Maize yield":"0"},"2530":{"country":"Small Island Develop","code country":"0","Year":1972,"Maize yield":"1.0519"},"799":{"country":"Cuba","code country":"CUB","Year":1964,"Maize yield":"9.474"}} | tablereformat | 2024-06-24T00:00:00 | |
57772b38ab8d4f9f2e30d5e0cca6e007f228786523ed027bdbf37b59fe20e3b1 | data_analysis | [
"Please convert the Input Table from TSV format to JSONL format. Please respond only with the table. \n Input Table: plan_strategy\trtpid\ttitle\tscope\topen_period\tfunding_millions_yoe\tcounty\nRegional Rail\t21-T11-107\tRail | Service Frequ\tThis program include\t2036 - 2050\t2840\tVarious\nRegional Rail\t21-T11-097\tFerry | Service Expa\tThis program include\t2021 - 2035\t271\tSan Francisco\nInterchanges and Bot\t21-T06-041\tCorridor & Interchan\tThis program include\t2021 - 2035\t40\tAlameda\nRegional Rail\t21-T11-101\tRail | Modernization\tThis program include\t2021 - 2035\t1980\tVarious\nRegional Rail\t21-T11-201\tRail | New Station |\tThis program include\t2021 - 2035\t14\tSonoma\nInterchanges and Bot\t21-T06-020\tCorridor & Interchan\tThis program include\t2021 - 2035\t173\tVarious\n \n Output: \n"
] | {"plan_strategy":"Regional Rail","rtpid":"21-T11-107","title":"Rail | Service Frequ","scope":"This program include","open_period":"2036 - 2050","funding_millions_yoe":2840,"county":"Various"}
{"plan_strategy":"Regional Rail","rtpid":"21-T11-097","title":"Ferry | Service Expa","scope":"This program include","open_period":"2021 - 2035","funding_millions_yoe":271,"county":"San Francisco"}
{"plan_strategy":"Interchanges and Bot","rtpid":"21-T06-041","title":"Corridor & Interchan","scope":"This program include","open_period":"2021 - 2035","funding_millions_yoe":40,"county":"Alameda"}
{"plan_strategy":"Regional Rail","rtpid":"21-T11-101","title":"Rail | Modernization","scope":"This program include","open_period":"2021 - 2035","funding_millions_yoe":1980,"county":"Various"}
{"plan_strategy":"Regional Rail","rtpid":"21-T11-201","title":"Rail | New Station |","scope":"This program include","open_period":"2021 - 2035","funding_millions_yoe":14,"county":"Sonoma"}
{"plan_strategy":"Interchanges and Bot","rtpid":"21-T06-020","title":"Corridor & Interchan","scope":"This program include","open_period":"2021 - 2035","funding_millions_yoe":173,"county":"Various"}
| tablereformat | 2024-06-24T00:00:00 | |
8b25c07592f100c7c61af45d3de6eec07f4996d0a211f613cc1e224db02bba4c | data_analysis | [
"Please convert the Input Table from JSONL format to JSON format. Please respond only with the table. \n Input Table: {\"Profanity\":\"tongue fucker\",\"Severity Rating\":2.4,\"Severity Description\":\"Strong\"}\n{\"Profanity\":\"arse-shagger\",\"Severity Rating\":2.4,\"Severity Description\":\"Strong\"}\n{\"Profanity\":\"s.o.b.s\",\"Severity Rating\":1.6,\"Severity Description\":\"Strong\"}\n{\"Profanity\":\"bollocktician\",\"Severity Rating\":1.4,\"Severity Description\":\"Mild\"}\n{\"Profanity\":\"d1ck\",\"Severity Rating\":1.0,\"Severity Description\":\"Mild\"}\n{\"Profanity\":\"goddamned\",\"Severity Rating\":1.8,\"Severity Description\":\"Strong\"}\n{\"Profanity\":\"shittydick\",\"Severity Rating\":2.0,\"Severity Description\":\"Strong\"}\n{\"Profanity\":\"groper\",\"Severity Rating\":1.4,\"Severity Description\":\"Mild\"}\n \n Output: \n"
] | {"14":{"Profanity":"tongue fucker","Severity Rating":2.4,"Severity Description":"Strong"},"1541":{"Profanity":"arse-shagger","Severity Rating":2.4,"Severity Description":"Strong"},"199":{"Profanity":"s.o.b.s","Severity Rating":1.6,"Severity Description":"Strong"},"1477":{"Profanity":"bollocktician","Severity Rating":1.4,"Severity Description":"Mild"},"1154":{"Profanity":"d1ck","Severity Rating":1.0,"Severity Description":"Mild"},"857":{"Profanity":"goddamned","Severity Rating":1.8,"Severity Description":"Strong"},"123":{"Profanity":"shittydick","Severity Rating":2.0,"Severity Description":"Strong"},"846":{"Profanity":"groper","Severity Rating":1.4,"Severity Description":"Mild"}} | tablereformat | 2024-06-24T00:00:00 | |
ce1fa8f673c3d33b3986e4f4f148ab1a11e42cd2b7f15390f0f4f2acb530a6e3 | data_analysis | [
"Please convert the Input Table from TSV format to JSONL format. Please respond only with the table. \n Input Table: Calendar Year\tActive Duty\tFull-Time (est) Guard+Reserve\tSelected Reserve FTE\tTotal Military FTE\tTotal Deaths\tAccident \tHostile Action\n2008\t1402227\t73000\t207917\t1683144\t1440\t506.0\t352\n1988\t2121659\t72000\t115836\t2309495\t1819\t1080.0\t0\n1981\t2093032\t22000\t91719\t2206751\t2380\t1524.0\t0\n2003\t1423348\t66000\t243284\t1732632\t1399\t597.0\t312\n1984\t2138339\t55000\t104583\t2297922\t1999\t1293.0\t1\n2004\t1411287\t66000\t234629\t1711916\t1847\t605.0\t735\n1995\t1502343\t65000\t94585\t1661928\t1040\t538.0\t0\n1982\t2112609\t41000\t97458\t2251067\t2319\t1493.0\t0\n1994\t1581649\t65000\t99833\t1746482\t1075\t544.0\t0\n1980\t2050758\t22000\t86872\t2159630\t2392\t1556.0\t0\n1997\t1418773\t65000\t94609\t1578382\t817\t433.0\t0\n1999\t1367838\t65000\t93104\t1525942\t796\t439.0\t0\n \n Output: \n"
] | {"Calendar Year":2008,"Active Duty":1402227,"Full-Time (est) Guard+Reserve":73000,"Selected Reserve FTE":207917,"Total Military FTE":1683144,"Total Deaths":1440,"Accident ":506.0,"Hostile Action":352}
{"Calendar Year":1988,"Active Duty":2121659,"Full-Time (est) Guard+Reserve":72000,"Selected Reserve FTE":115836,"Total Military FTE":2309495,"Total Deaths":1819,"Accident ":1080.0,"Hostile Action":0}
{"Calendar Year":1981,"Active Duty":2093032,"Full-Time (est) Guard+Reserve":22000,"Selected Reserve FTE":91719,"Total Military FTE":2206751,"Total Deaths":2380,"Accident ":1524.0,"Hostile Action":0}
{"Calendar Year":2003,"Active Duty":1423348,"Full-Time (est) Guard+Reserve":66000,"Selected Reserve FTE":243284,"Total Military FTE":1732632,"Total Deaths":1399,"Accident ":597.0,"Hostile Action":312}
{"Calendar Year":1984,"Active Duty":2138339,"Full-Time (est) Guard+Reserve":55000,"Selected Reserve FTE":104583,"Total Military FTE":2297922,"Total Deaths":1999,"Accident ":1293.0,"Hostile Action":1}
{"Calendar Year":2004,"Active Duty":1411287,"Full-Time (est) Guard+Reserve":66000,"Selected Reserve FTE":234629,"Total Military FTE":1711916,"Total Deaths":1847,"Accident ":605.0,"Hostile Action":735}
{"Calendar Year":1995,"Active Duty":1502343,"Full-Time (est) Guard+Reserve":65000,"Selected Reserve FTE":94585,"Total Military FTE":1661928,"Total Deaths":1040,"Accident ":538.0,"Hostile Action":0}
{"Calendar Year":1982,"Active Duty":2112609,"Full-Time (est) Guard+Reserve":41000,"Selected Reserve FTE":97458,"Total Military FTE":2251067,"Total Deaths":2319,"Accident ":1493.0,"Hostile Action":0}
{"Calendar Year":1994,"Active Duty":1581649,"Full-Time (est) Guard+Reserve":65000,"Selected Reserve FTE":99833,"Total Military FTE":1746482,"Total Deaths":1075,"Accident ":544.0,"Hostile Action":0}
{"Calendar Year":1980,"Active Duty":2050758,"Full-Time (est) Guard+Reserve":22000,"Selected Reserve FTE":86872,"Total Military FTE":2159630,"Total Deaths":2392,"Accident ":1556.0,"Hostile Action":0}
{"Calendar Year":1997,"Active Duty":1418773,"Full-Time (est) Guard+Reserve":65000,"Selected Reserve FTE":94609,"Total Military FTE":1578382,"Total Deaths":817,"Accident ":433.0,"Hostile Action":0}
{"Calendar Year":1999,"Active Duty":1367838,"Full-Time (est) Guard+Reserve":65000,"Selected Reserve FTE":93104,"Total Military FTE":1525942,"Total Deaths":796,"Accident ":439.0,"Hostile Action":0}
| tablereformat | 2024-06-24T00:00:00 | |
56ace477670fa1527771dc1a4f2babac3b704f1c313b8981a53ce892f55b6c05 | data_analysis | [
"Please convert the Input Table from TSV format to CSV format. Please respond only with the table. \n Input Table: species\tquantity\nLAKE TROUT\t2931\nKOKANEE\t716220\nGRAYLING ARCTIC\t84211\nSUNFISH BLUEGILL\t47840\nWIPER\t386460\nSUCKER JUNE\t80510\nTIGER TROUT\t401119\nRAINBOW\t3904196\nBROOK TROUT\t232058\nCUTTHROAT\t1506513\nCHUB\t34740\nALL TROUT\t1650\nBROWN TROUT\t245553\nGOLDEN TROUT\t4581\n \n Output: \n"
] | species,quantity
LAKE TROUT,2931
KOKANEE,716220
GRAYLING ARCTIC,84211
SUNFISH BLUEGILL,47840
WIPER,386460
SUCKER JUNE,80510
TIGER TROUT,401119
RAINBOW,3904196
BROOK TROUT,232058
CUTTHROAT,1506513
CHUB,34740
ALL TROUT,1650
BROWN TROUT,245553
GOLDEN TROUT,4581
| tablereformat | 2024-06-24T00:00:00 | |
3f9091ebb24ea69d1e9ad7a20e3a617f47548595e9b0b0a46a95061ec3e81740 | data_analysis | [
"Please convert the Input Table from HTML format to TSV format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>license_description</th>\n <th>zip_code</th>\n <th>license_id</th>\n <th>location</th>\n <th>date_issued</th>\n <th>city</th>\n <th>ward_precinct</th>\n <th>address</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Retail Food Establis</td>\n <td>60607</td>\n <td>2959264</td>\n <td>{'latitude': '41.885</td>\n <td>2024-04-16T00:00:00.</td>\n <td>CHICAGO</td>\n <td>27-1</td>\n <td>205-209 N PEORIA ST</td>\n </tr>\n <tr>\n <td>Pharmaceutical Repre</td>\n <td>60031</td>\n <td>2960784</td>\n <td>NaN</td>\n <td>2024-03-22T00:00:00.</td>\n <td>GURNEE</td>\n <td>NaN</td>\n <td>[REDACTED FOR PRIVAC</td>\n </tr>\n <tr>\n <td>Wholesale Food Estab</td>\n <td>60640</td>\n <td>2964234</td>\n <td>{'latitude': '41.964</td>\n <td>2024-04-16T00:00:00.</td>\n <td>CHICAGO</td>\n <td>47-36</td>\n <td>4527 N RAVENSWOOD AV</td>\n </tr>\n <tr>\n <td>Limited Business Lic</td>\n <td>60613</td>\n <td>2957581</td>\n <td>{'latitude': '41.955</td>\n <td>2024-04-19T00:00:00.</td>\n <td>CHICAGO</td>\n <td>46-10</td>\n <td>4025 N SHERIDAN RD 1</td>\n </tr>\n <tr>\n <td>Tavern</td>\n <td>60613</td>\n <td>2962989</td>\n <td>{'latitude': '41.949</td>\n <td>2024-04-16T00:00:00.</td>\n <td>CHICAGO</td>\n <td>44-32</td>\n <td>3714 N CLARK ST 1ST</td>\n </tr>\n <tr>\n <td>Pawnbroker</td>\n <td>60639</td>\n <td>2959235</td>\n <td>{'latitude': '41.931</td>\n <td>2024-03-18T00:00:00.</td>\n <td>CHICAGO</td>\n <td>31-40</td>\n <td>5401 - 5405 W DIVERS</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | license_description zip_code license_id location date_issued city ward_precinct address
Retail Food Establis 60607 2959264 {'latitude': '41.885 2024-04-16T00:00:00. CHICAGO 27-1 205-209 N PEORIA ST
Pharmaceutical Repre 60031 2960784 2024-03-22T00:00:00. GURNEE [REDACTED FOR PRIVAC
Wholesale Food Estab 60640 2964234 {'latitude': '41.964 2024-04-16T00:00:00. CHICAGO 47-36 4527 N RAVENSWOOD AV
Limited Business Lic 60613 2957581 {'latitude': '41.955 2024-04-19T00:00:00. CHICAGO 46-10 4025 N SHERIDAN RD 1
Tavern 60613 2962989 {'latitude': '41.949 2024-04-16T00:00:00. CHICAGO 44-32 3714 N CLARK ST 1ST
Pawnbroker 60639 2959235 {'latitude': '41.931 2024-03-18T00:00:00. CHICAGO 31-40 5401 - 5405 W DIVERS
| tablereformat | 2024-06-24T00:00:00 | |
35b3098f43e9129b80af5263066ffad973670da10a3bbc4d350fa88cea4d980f | data_analysis | [
"Please convert the Input Table from TSV format to CSV format. Please respond only with the table. \n Input Table: credentialnumber\tlastname\tfirstname\tmiddlename\tcredentialtype\tstatus\tbirthyear\tfirstissuedate\nNA00164281\tJones\tSusan\tMary\tNursing Assistant Re\tACTIVE\t1963.0\t20040426.0\nLP60805320\tOlson\tChristina\tMarie\tLicensed Practical N\tCLOSED\t1978.0\t\nES61380905\tHawks\tWilliam\tJonathan\tEmergency Medical Te\tCLOSED\t1997.0\t\nNC10102413\tBlount\tJoyce\tL\tNursing Assistant Ce\tEXPIRED\t1971.0\t20080206.0\nVA60030789\tGrubich\tAshley\tNichole\tPharmacy Technician \tACTIVE\t1989.0\t20080815.0\nOL61464825\tWyer\tKyle\tDavid\tOsteopathic Physicia\tACTIVE\t1990.0\t20230725.0\nCP60969079\tMullin\tTiffany\tAnn\tSubstance Use Disord\tACTIVE\t1967.0\t20200114.0\nCG61289229\tOrtiz\tNicole\tLynne\tCounselor Agency Aff\tPENDING\t1968.0\t\nMC61191565\tCapozzolo\tMerry\tAlexandra\tMental Health Counse\tSUPERSEDED\t1991.0\t20210628.0\n \n Output: \n"
] | credentialnumber,lastname,firstname,middlename,credentialtype,status,birthyear,firstissuedate
NA00164281,Jones,Susan,Mary,Nursing Assistant Re,ACTIVE,1963.0,20040426.0
LP60805320,Olson,Christina,Marie,Licensed Practical N,CLOSED,1978.0,
ES61380905,Hawks,William,Jonathan,Emergency Medical Te,CLOSED,1997.0,
NC10102413,Blount,Joyce,L,Nursing Assistant Ce,EXPIRED,1971.0,20080206.0
VA60030789,Grubich,Ashley,Nichole,Pharmacy Technician ,ACTIVE,1989.0,20080815.0
OL61464825,Wyer,Kyle,David,Osteopathic Physicia,ACTIVE,1990.0,20230725.0
CP60969079,Mullin,Tiffany,Ann,Substance Use Disord,ACTIVE,1967.0,20200114.0
CG61289229,Ortiz,Nicole,Lynne,Counselor Agency Aff,PENDING,1968.0,
MC61191565,Capozzolo,Merry,Alexandra,Mental Health Counse,SUPERSEDED,1991.0,20210628.0
| tablereformat | 2024-06-24T00:00:00 | |
0cbc79763d1930cd7c78821f52cbb8c368eacbee9ea3b9bb9ece1e79167deb4a | data_analysis | [
"Please convert the Input Table from JSONL format to JSON format. Please respond only with the table. \n Input Table: {\"app_no\":6067396,\"type\":\"HDR\",\"app_date\":\"2024-02-05T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6070694,\"type\":\"HDR\",\"app_date\":\"2024-03-20T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Needed\",\"wav_course\":\"Needed\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6068735,\"type\":\"HDR\",\"app_date\":\"2024-02-22T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Needed\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6070320,\"type\":\"HDR\",\"app_date\":\"2024-03-14T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6071839,\"type\":\"HDR\",\"app_date\":\"2024-04-04T00:00:00.\",\"status\":\"Approved - License I\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6070328,\"type\":\"HDR\",\"app_date\":\"2024-03-14T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Needed\",\"wav_course\":\"Needed\",\"defensive_driving\":\"Needed\"}\n{\"app_no\":6070076,\"type\":\"HDR\",\"app_date\":\"2024-03-11T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Needed\"}\n{\"app_no\":6070287,\"type\":\"HDR\",\"app_date\":\"2024-03-14T00:00:00.\",\"status\":\"Approved - License I\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6070315,\"type\":\"HDR\",\"app_date\":\"2024-03-14T00:00:00.\",\"status\":\"Approved - License I\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6067471,\"type\":\"HDR\",\"app_date\":\"2024-02-06T00:00:00.\",\"status\":\"Approved - License I\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6071018,\"type\":\"HDR\",\"app_date\":\"2024-03-24T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Needed\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6069877,\"type\":\"HDR\",\"app_date\":\"2024-03-08T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6070400,\"type\":\"HDR\",\"app_date\":\"2024-03-16T00:00:00.\",\"status\":\"Incomplete\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n{\"app_no\":6067570,\"type\":\"HDR\",\"app_date\":\"2024-02-07T00:00:00.\",\"status\":\"Approved - License I\",\"fru_interview_scheduled\":\"Not Applicable\",\"drug_test\":\"Complete\",\"wav_course\":\"Complete\",\"defensive_driving\":\"Complete\"}\n \n Output: \n"
] | {"188":{"app_no":6067396,"type":"HDR","app_date":"2024-02-05T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"951":{"app_no":6070694,"type":"HDR","app_date":"2024-03-20T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Needed","wav_course":"Needed","defensive_driving":"Complete"},"650":{"app_no":6068735,"type":"HDR","app_date":"2024-02-22T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Needed","wav_course":"Complete","defensive_driving":"Complete"},"823":{"app_no":6070320,"type":"HDR","app_date":"2024-03-14T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"118":{"app_no":6071839,"type":"HDR","app_date":"2024-04-04T00:00:00.","status":"Approved - License I","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"62":{"app_no":6070328,"type":"HDR","app_date":"2024-03-14T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Needed","wav_course":"Needed","defensive_driving":"Needed"},"115":{"app_no":6070076,"type":"HDR","app_date":"2024-03-11T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Needed"},"549":{"app_no":6070287,"type":"HDR","app_date":"2024-03-14T00:00:00.","status":"Approved - License I","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"531":{"app_no":6070315,"type":"HDR","app_date":"2024-03-14T00:00:00.","status":"Approved - License I","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"495":{"app_no":6067471,"type":"HDR","app_date":"2024-02-06T00:00:00.","status":"Approved - License I","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"654":{"app_no":6071018,"type":"HDR","app_date":"2024-03-24T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Needed","wav_course":"Complete","defensive_driving":"Complete"},"908":{"app_no":6069877,"type":"HDR","app_date":"2024-03-08T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"720":{"app_no":6070400,"type":"HDR","app_date":"2024-03-16T00:00:00.","status":"Incomplete","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"},"874":{"app_no":6067570,"type":"HDR","app_date":"2024-02-07T00:00:00.","status":"Approved - License I","fru_interview_scheduled":"Not Applicable","drug_test":"Complete","wav_course":"Complete","defensive_driving":"Complete"}} | tablereformat | 2024-06-24T00:00:00 | |
2379e1e2586eacdf0c9ea0b9385f3c679ff72aa7e2a74fb741aa42018b4d78ea | data_analysis | [
"Please convert the Input Table from TSV format to HTML format. Please respond only with the table. \n Input Table: id\toriginal_text\trewritten_text\trewrite_prompt\n181\tTitle: The Growing P\tTitle: Exploring the\tThe key difference i\n237\tSarah was shopping f\tSarah was browsing f\tConvey a more lighth\n102\tHey Marcelle! Just w\tMarcelle, beware the\tEncourage practice a\n7\tThe ovary is an esse\tThe ovary, a mystica\tEmploy a whimsical, \n109\tMildred woke up feel\tMildred woke up feel\tRevise the text with\n301\tLee used the pruner \tRephrase: Lee tidied\tRephrase the text by\n330\tRebecca eagerly awai\tRebecca cautiously a\tReflect a more cauti\n38\tTitle: The Schnitzel\tTitle: The Schnitzel\tRevise the text in a\n351\tJoseph, a young boy \tIn a world where dre\tRevise the text with\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>id</th>
<th>original_text</th>
<th>rewritten_text</th>
<th>rewrite_prompt</th>
</tr>
</thead>
<tbody>
<tr>
<td>181</td>
<td>Title: The Growing P</td>
<td>Title: Exploring the</td>
<td>The key difference i</td>
</tr>
<tr>
<td>237</td>
<td>Sarah was shopping f</td>
<td>Sarah was browsing f</td>
<td>Convey a more lighth</td>
</tr>
<tr>
<td>102</td>
<td>Hey Marcelle! Just w</td>
<td>Marcelle, beware the</td>
<td>Encourage practice a</td>
</tr>
<tr>
<td>7</td>
<td>The ovary is an esse</td>
<td>The ovary, a mystica</td>
<td>Employ a whimsical,</td>
</tr>
<tr>
<td>109</td>
<td>Mildred woke up feel</td>
<td>Mildred woke up feel</td>
<td>Revise the text with</td>
</tr>
<tr>
<td>301</td>
<td>Lee used the pruner</td>
<td>Rephrase: Lee tidied</td>
<td>Rephrase the text by</td>
</tr>
<tr>
<td>330</td>
<td>Rebecca eagerly awai</td>
<td>Rebecca cautiously a</td>
<td>Reflect a more cauti</td>
</tr>
<tr>
<td>38</td>
<td>Title: The Schnitzel</td>
<td>Title: The Schnitzel</td>
<td>Revise the text in a</td>
</tr>
<tr>
<td>351</td>
<td>Joseph, a young boy</td>
<td>In a world where dre</td>
<td>Revise the text with</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
23369207a1755bd3b7cea52155e7cbbd7ab1e2fa79015d1f8776111b8648f8ed | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"620\":{\"fecha_reporte_web\":\"2020-09-03 00:00:00\",\"id_de_caso\":640674,\"fecha_de_notificaci_n\":\"2020-08-21 00:00:00\",\"departamento\":5,\"departamento_nom\":\"ANTIOQUIA\",\"ciudad_municipio\":5001,\"ciudad_municipio_nom\":\"MEDELLIN\",\"edad\":62},\"664\":{\"fecha_reporte_web\":\"2020-09-03 00:00:00\",\"id_de_caso\":640639,\"fecha_de_notificaci_n\":\"2020-08-19 00:00:00\",\"departamento\":5,\"departamento_nom\":\"ANTIOQUIA\",\"ciudad_municipio\":5360,\"ciudad_municipio_nom\":\"ITAGUI\",\"edad\":19},\"381\":{\"fecha_reporte_web\":\"2020-07-09 00:00:00\",\"id_de_caso\":133383,\"fecha_de_notificaci_n\":\"2020-06-29 00:00:00\",\"departamento\":11,\"departamento_nom\":\"BOGOTA\",\"ciudad_municipio\":11001,\"ciudad_municipio_nom\":\"BOGOTA\",\"edad\":31},\"643\":{\"fecha_reporte_web\":\"2020-10-23 00:00:00\",\"id_de_caso\":993946,\"fecha_de_notificaci_n\":\"2020-10-20 00:00:00\",\"departamento\":17,\"departamento_nom\":\"CALDAS\",\"ciudad_municipio\":17001,\"ciudad_municipio_nom\":\"MANIZALES\",\"edad\":28},\"221\":{\"fecha_reporte_web\":\"2021-01-14 00:00:00\",\"id_de_caso\":1841877,\"fecha_de_notificaci_n\":\"2021-01-04 00:00:00\",\"departamento\":11,\"departamento_nom\":\"BOGOTA\",\"ciudad_municipio\":11001,\"ciudad_municipio_nom\":\"BOGOTA\",\"edad\":35},\"379\":{\"fecha_reporte_web\":\"2020-07-09 00:00:00\",\"id_de_caso\":133381,\"fecha_de_notificaci_n\":\"2020-07-01 00:00:00\",\"departamento\":11,\"departamento_nom\":\"BOGOTA\",\"ciudad_municipio\":11001,\"ciudad_municipio_nom\":\"BOGOTA\",\"edad\":50},\"771\":{\"fecha_reporte_web\":\"2020-06-25 00:00:00\",\"id_de_caso\":78503,\"fecha_de_notificaci_n\":\"2020-06-19 00:00:00\",\"departamento\":70,\"departamento_nom\":\"SUCRE\",\"ciudad_municipio\":70001,\"ciudad_municipio_nom\":\"SINCELEJO\",\"edad\":64},\"944\":{\"fecha_reporte_web\":\"2020-09-03 00:00:00\",\"id_de_caso\":640279,\"fecha_de_notificaci_n\":\"2020-08-14 00:00:00\",\"departamento\":5,\"departamento_nom\":\"ANTIOQUIA\",\"ciudad_municipio\":5088,\"ciudad_municipio_nom\":\"BELLO\",\"edad\":32},\"318\":{\"fecha_reporte_web\":\"2021-01-13 00:00:00\",\"id_de_caso\":1830859,\"fecha_de_notificaci_n\":\"2020-12-29 00:00:00\",\"departamento\":68,\"departamento_nom\":\"SANTANDER\",\"ciudad_municipio\":68001,\"ciudad_municipio_nom\":\"BUCARAMANGA\",\"edad\":51},\"871\":{\"fecha_reporte_web\":\"2020-07-18 00:00:00\",\"id_de_caso\":186772,\"fecha_de_notificaci_n\":\"2020-06-30 00:00:00\",\"departamento\":5,\"departamento_nom\":\"ANTIOQUIA\",\"ciudad_municipio\":5088,\"ciudad_municipio_nom\":\"BELLO\",\"edad\":23},\"843\":{\"fecha_reporte_web\":\"2021-01-07 00:00:00\",\"id_de_caso\":1734645,\"fecha_de_notificaci_n\":\"2021-01-04 00:00:00\",\"departamento\":76,\"departamento_nom\":\"VALLE\",\"ciudad_municipio\":76001,\"ciudad_municipio_nom\":\"CALI\",\"edad\":73}} \n Output: \n"
] | fecha_reporte_web,id_de_caso,fecha_de_notificaci_n,departamento,departamento_nom,ciudad_municipio,ciudad_municipio_nom,edad
2020-09-03 00:00:00,640674,2020-08-21 00:00:00,5,ANTIOQUIA,5001,MEDELLIN,62
2020-09-03 00:00:00,640639,2020-08-19 00:00:00,5,ANTIOQUIA,5360,ITAGUI,19
2020-07-09 00:00:00,133383,2020-06-29 00:00:00,11,BOGOTA,11001,BOGOTA,31
2020-10-23 00:00:00,993946,2020-10-20 00:00:00,17,CALDAS,17001,MANIZALES,28
2021-01-14 00:00:00,1841877,2021-01-04 00:00:00,11,BOGOTA,11001,BOGOTA,35
2020-07-09 00:00:00,133381,2020-07-01 00:00:00,11,BOGOTA,11001,BOGOTA,50
2020-06-25 00:00:00,78503,2020-06-19 00:00:00,70,SUCRE,70001,SINCELEJO,64
2020-09-03 00:00:00,640279,2020-08-14 00:00:00,5,ANTIOQUIA,5088,BELLO,32
2021-01-13 00:00:00,1830859,2020-12-29 00:00:00,68,SANTANDER,68001,BUCARAMANGA,51
2020-07-18 00:00:00,186772,2020-06-30 00:00:00,5,ANTIOQUIA,5088,BELLO,23
2021-01-07 00:00:00,1734645,2021-01-04 00:00:00,76,VALLE,76001,CALI,73
| tablereformat | 2024-06-24T00:00:00 | |
9dd93740e50a0913119103c1212284600703756ff930d2a8fa46d3dc97912d96 | data_analysis | [
"Please convert the Input Table from CSV format to TSV format. Please respond only with the table. \n Input Table: Age ,Gender,BMI,Fever,Nausea/Vomting,Headache ,Diarrhea ,Fatigue & generalized bone ache \n41,2,28,2,2,2,1,2\n61,2,32,2,2,2,1,1\n44,2,32,2,1,2,2,1\n50,2,25,2,2,2,2,1\n42,1,35,2,1,2,1,2\n61,1,24,1,2,1,2,1\n35,2,32,2,1,1,2,2\n45,2,24,1,2,1,2,2\n33,2,22,1,2,2,2,1\n51,1,28,1,1,1,2,1\n32,2,28,1,1,1,1,1\n38,1,25,2,2,2,2,2\n53,2,29,2,1,1,2,2\n50,1,27,2,2,1,1,1\n \n Output: \n"
] | Age Gender BMI Fever Nausea/Vomting Headache Diarrhea Fatigue & generalized bone ache
41 2 28 2 2 2 1 2
61 2 32 2 2 2 1 1
44 2 32 2 1 2 2 1
50 2 25 2 2 2 2 1
42 1 35 2 1 2 1 2
61 1 24 1 2 1 2 1
35 2 32 2 1 1 2 2
45 2 24 1 2 1 2 2
33 2 22 1 2 2 2 1
51 1 28 1 1 1 2 1
32 2 28 1 1 1 1 1
38 1 25 2 2 2 2 2
53 2 29 2 1 1 2 2
50 1 27 2 2 1 1 1
| tablereformat | 2024-06-24T00:00:00 | |
8f3ca4d439a2167eda91a41deaecf48838405ce32967097d2ec7e931b1313cf4 | data_analysis | [
"Please convert the Input Table from TSV format to CSV format. Please respond only with the table. \n Input Table: Unnamed: 0\tfecha\thora\tsistema\tbandera\tprecio\ttipo_moneda\torigen_dato\n21150\t2012-12-18\t6\tHU\t0\t35.0\t1\t6\n830180\t2017-06-19\t3\tPT\t1\t45.8\t1\t1\n285124\t2014-07-30\t7\tSE3\t1\t32.17\t1\t2\n906469\t2017-11-10\t14\tLT\t0\t36.9\t1\t2\n148609\t2013-10-22\t8\tNO5\t1\t39.57\t1\t2\n1311561\t2019-11-22\t3\tNO5\t0\t37.48\t1\t2\n281792\t2014-07-23\t17\tFI\t1\t46.84\t1\t2\n702672\t2016-10-20\t15\tSE3\t1\t43.22\t1\t2\n788303\t2017-03-31\t20\tFI\t1\t33.9\t1\t2\n214985\t2014-03-13\t2\tSE4\t0\t25.57\t1\t2\n900240\t2017-10-29\t19\tFR\t0\t59.58\t1\t1\n1413759\t2020-05-02\t18\tDK1\t1\t8.5\t1\t2\n996520\t2018-04-30\t4\tNO4\t1\t35.17\t1\t2\n \n Output: \n"
] | Unnamed: 0,fecha,hora,sistema,bandera,precio,tipo_moneda,origen_dato
21150,2012-12-18,6,HU,0,35.0,1,6
830180,2017-06-19,3,PT,1,45.8,1,1
285124,2014-07-30,7,SE3,1,32.17,1,2
906469,2017-11-10,14,LT,0,36.9,1,2
148609,2013-10-22,8,NO5,1,39.57,1,2
1311561,2019-11-22,3,NO5,0,37.48,1,2
281792,2014-07-23,17,FI,1,46.84,1,2
702672,2016-10-20,15,SE3,1,43.22,1,2
788303,2017-03-31,20,FI,1,33.9,1,2
214985,2014-03-13,2,SE4,0,25.57,1,2
900240,2017-10-29,19,FR,0,59.58,1,1
1413759,2020-05-02,18,DK1,1,8.5,1,2
996520,2018-04-30,4,NO4,1,35.17,1,2
| tablereformat | 2024-06-24T00:00:00 | |
31b5500fbd88c9b6087f15229a84578b6863700ef5b4bf2c645d8927a4723a77 | data_analysis | [
"Please convert the Input Table from TSV format to HTML format. Please respond only with the table. \n Input Table: name\tid\tnametype\trecclass\tmass (g)\tfall\tyear\treclat\nRamlat as Sahmah 307\t51908\tValid\tH4-6\t327.5\tFound\t2009.0\t20.52627\nHammadah al Hamra 20\t11685\tValid\tLL6\t386.0\tFound\t1997.0\t28.633\nElephant Moraine 909\t9395\tValid\tCM2\t1.2\tFound\t1990.0\t-76.2675\nMacKay Glacier 05241\t36380\tValid\tL5\t2.5\tFound\t2005.0\t\nWisconsin Range 9161\t24301\tValid\tL5\t1.5\tFound\t1991.0\t-86.48087\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>name</th>
<th>id</th>
<th>nametype</th>
<th>recclass</th>
<th>mass (g)</th>
<th>fall</th>
<th>year</th>
<th>reclat</th>
</tr>
</thead>
<tbody>
<tr>
<td>Ramlat as Sahmah 307</td>
<td>51908</td>
<td>Valid</td>
<td>H4-6</td>
<td>327.5</td>
<td>Found</td>
<td>2009.0</td>
<td>20.52627</td>
</tr>
<tr>
<td>Hammadah al Hamra 20</td>
<td>11685</td>
<td>Valid</td>
<td>LL6</td>
<td>386.0</td>
<td>Found</td>
<td>1997.0</td>
<td>28.63300</td>
</tr>
<tr>
<td>Elephant Moraine 909</td>
<td>9395</td>
<td>Valid</td>
<td>CM2</td>
<td>1.2</td>
<td>Found</td>
<td>1990.0</td>
<td>-76.26750</td>
</tr>
<tr>
<td>MacKay Glacier 05241</td>
<td>36380</td>
<td>Valid</td>
<td>L5</td>
<td>2.5</td>
<td>Found</td>
<td>2005.0</td>
<td>NaN</td>
</tr>
<tr>
<td>Wisconsin Range 9161</td>
<td>24301</td>
<td>Valid</td>
<td>L5</td>
<td>1.5</td>
<td>Found</td>
<td>1991.0</td>
<td>-86.48087</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
9b8b3c1cdfbadc5d248114dcd74f7376fe3e24db964f3acb8d12159404199aac | data_analysis | [
"Please convert the Input Table from JSON format to HTML format. Please respond only with the table. \n Input Table: {\"137\":{\"res_geo_short\":\"Lake\",\"work_geo_short\":\"Colusa\",\"year\":2016,\"total\":25,\"drove_alone\":25,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"855\":{\"res_geo_short\":\"Napa\",\"work_geo_short\":\"Riverside\",\"year\":2016,\"total\":30,\"drove_alone\":4,\"_2_person_carpool\":15,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"456\":{\"res_geo_short\":\"Fresno\",\"work_geo_short\":\"Los Angeles\",\"year\":2016,\"total\":675,\"drove_alone\":420,\"_2_person_carpool\":95,\"_3_person_carpool\":75,\"_4_person_carpool\":0},\"207\":{\"res_geo_short\":\"Alameda\",\"work_geo_short\":\"El Dorado\",\"year\":2016,\"total\":25,\"drove_alone\":0,\"_2_person_carpool\":0,\"_3_person_carpool\":25,\"_4_person_carpool\":0},\"921\":{\"res_geo_short\":\"Trinity\",\"work_geo_short\":\"Sacramento\",\"year\":2016,\"total\":4,\"drove_alone\":4,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"788\":{\"res_geo_short\":\"Colusa\",\"work_geo_short\":\"Placer\",\"year\":2016,\"total\":45,\"drove_alone\":45,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"940\":{\"res_geo_short\":\"San Luis Obispo\",\"work_geo_short\":\"San Benito\",\"year\":2016,\"total\":15,\"drove_alone\":15,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"820\":{\"res_geo_short\":\"Sutter\",\"work_geo_short\":\"Placer\",\"year\":2016,\"total\":1475,\"drove_alone\":1105,\"_2_person_carpool\":120,\"_3_person_carpool\":95,\"_4_person_carpool\":45},\"881\":{\"res_geo_short\":\"El Dorado\",\"work_geo_short\":\"Sacramento\",\"year\":2016,\"total\":21690,\"drove_alone\":18355,\"_2_person_carpool\":2005,\"_3_person_carpool\":195,\"_4_person_carpool\":105},\"877\":{\"res_geo_short\":\"Butte\",\"work_geo_short\":\"Sacramento\",\"year\":2016,\"total\":630,\"drove_alone\":490,\"_2_person_carpool\":60,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"509\":{\"res_geo_short\":\"Riverside\",\"work_geo_short\":\"Madera\",\"year\":2016,\"total\":4,\"drove_alone\":4,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"477\":{\"res_geo_short\":\"Sacramento\",\"work_geo_short\":\"Los Angeles\",\"year\":2016,\"total\":500,\"drove_alone\":315,\"_2_person_carpool\":50,\"_3_person_carpool\":30,\"_4_person_carpool\":40}} \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>res_geo_short</th>
<th>work_geo_short</th>
<th>year</th>
<th>total</th>
<th>drove_alone</th>
<th>_2_person_carpool</th>
<th>_3_person_carpool</th>
<th>_4_person_carpool</th>
</tr>
</thead>
<tbody>
<tr>
<td>Lake</td>
<td>Colusa</td>
<td>2016</td>
<td>25</td>
<td>25</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Napa</td>
<td>Riverside</td>
<td>2016</td>
<td>30</td>
<td>4</td>
<td>15</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Fresno</td>
<td>Los Angeles</td>
<td>2016</td>
<td>675</td>
<td>420</td>
<td>95</td>
<td>75</td>
<td>0</td>
</tr>
<tr>
<td>Alameda</td>
<td>El Dorado</td>
<td>2016</td>
<td>25</td>
<td>0</td>
<td>0</td>
<td>25</td>
<td>0</td>
</tr>
<tr>
<td>Trinity</td>
<td>Sacramento</td>
<td>2016</td>
<td>4</td>
<td>4</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Colusa</td>
<td>Placer</td>
<td>2016</td>
<td>45</td>
<td>45</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>San Luis Obispo</td>
<td>San Benito</td>
<td>2016</td>
<td>15</td>
<td>15</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Sutter</td>
<td>Placer</td>
<td>2016</td>
<td>1475</td>
<td>1105</td>
<td>120</td>
<td>95</td>
<td>45</td>
</tr>
<tr>
<td>El Dorado</td>
<td>Sacramento</td>
<td>2016</td>
<td>21690</td>
<td>18355</td>
<td>2005</td>
<td>195</td>
<td>105</td>
</tr>
<tr>
<td>Butte</td>
<td>Sacramento</td>
<td>2016</td>
<td>630</td>
<td>490</td>
<td>60</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Riverside</td>
<td>Madera</td>
<td>2016</td>
<td>4</td>
<td>4</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Sacramento</td>
<td>Los Angeles</td>
<td>2016</td>
<td>500</td>
<td>315</td>
<td>50</td>
<td>30</td>
<td>40</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
1f592e4e1a40499fb15905f6badb7c507a643106aec8d907f34de9cd200cb3fa | data_analysis | [
"Please convert the Input Table from HTML format to TSV format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>Areas</th>\n <th>freq_1</th>\n <th>freq_2</th>\n <th>freq_3</th>\n <th>freq_4</th>\n <th>freq_5</th>\n <th>freq_6</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>21.011988</td>\n <td>1.0</td>\n <td>0.500439</td>\n <td>0.251738</td>\n <td>0.078005</td>\n <td>0.093293</td>\n <td>0.018903</td>\n </tr>\n <tr>\n <td>10.337971</td>\n <td>1.0</td>\n <td>0.466725</td>\n <td>0.419106</td>\n <td>0.274681</td>\n <td>0.267607</td>\n <td>0.157107</td>\n </tr>\n <tr>\n <td>10.849468</td>\n <td>1.0</td>\n <td>0.202631</td>\n <td>0.085090</td>\n <td>0.045319</td>\n <td>0.033782</td>\n <td>0.024511</td>\n </tr>\n <tr>\n <td>0.000000</td>\n <td>0.0</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n </tr>\n <tr>\n <td>0.000000</td>\n <td>0.0</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n </tr>\n <tr>\n <td>32.851421</td>\n <td>1.0</td>\n <td>0.254474</td>\n <td>0.120420</td>\n <td>0.074471</td>\n <td>0.045632</td>\n <td>0.031202</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | Areas freq_1 freq_2 freq_3 freq_4 freq_5 freq_6
21.011987996801384 1.0 0.5004387263728519 0.2517378735892901 0.078005199375179 0.093293367604831 0.0189026940475218
10.337970555779648 1.0 0.4667245036083286 0.4191063338191223 0.2746805132472518 0.2676071164217446 0.1571065760449514
10.84946821575966 1.0 0.2026312336424063 0.0850897545416327 0.0453185688575391 0.0337823596808117 0.0245107766664011
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
32.85142142890733 1.0 0.2544744562396613 0.1204201767574232 0.0744708623829048 0.0456319411571197 0.031201680845393
| tablereformat | 2024-06-24T00:00:00 | |
e852443f6993386ec44106f68bee0f7f278cfd9fb116228e55a50713257692b2 | data_analysis | [
"Please convert the Input Table from JSONL format to TSV format. Please respond only with the table. \n Input Table: {\"Outlook\":\"Rain\",\"Temperature\":\"Cool\",\"Humidity\":\"Normal\",\"Wind\":\"Weak\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Overcast\",\"Temperature\":\"Cool\",\"Humidity\":\"Normal\",\"Wind\":\"Weak\",\"Play_Badminton\":\"Yes\"}\n{\"Outlook\":\"Sunny\",\"Temperature\":\"Mild\",\"Humidity\":\"Normal\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Mild\",\"Humidity\":\"High\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Overcast\",\"Temperature\":\"Mild\",\"Humidity\":\"High\",\"Wind\":\"Weak\",\"Play_Badminton\":\"Yes\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Cool\",\"Humidity\":\"Normal\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Cool\",\"Humidity\":\"High\",\"Wind\":\"Weak\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Overcast\",\"Temperature\":\"Hot\",\"Humidity\":\"High\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Overcast\",\"Temperature\":\"Hot\",\"Humidity\":\"High\",\"Wind\":\"Weak\",\"Play_Badminton\":\"Yes\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Hot\",\"Humidity\":\"High\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Cool\",\"Humidity\":\"High\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Sunny\",\"Temperature\":\"Hot\",\"Humidity\":\"High\",\"Wind\":\"Strong\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Mild\",\"Humidity\":\"Normal\",\"Wind\":\"Weak\",\"Play_Badminton\":\"No\"}\n{\"Outlook\":\"Rain\",\"Temperature\":\"Hot\",\"Humidity\":\"Normal\",\"Wind\":\"Weak\",\"Play_Badminton\":\"No\"}\n \n Output: \n"
] | Outlook Temperature Humidity Wind Play_Badminton
Rain Cool Normal Weak No
Overcast Cool Normal Weak Yes
Sunny Mild Normal Strong No
Rain Mild High Strong No
Overcast Mild High Weak Yes
Rain Cool Normal Strong No
Rain Cool High Weak No
Overcast Hot High Strong No
Overcast Hot High Weak Yes
Rain Hot High Strong No
Rain Cool High Strong No
Sunny Hot High Strong No
Rain Mild Normal Weak No
Rain Hot Normal Weak No
| tablereformat | 2024-06-24T00:00:00 | |
f44bcc507aa7a438c07f435c70e687868c07af785cc257410780ff861c54c646 | data_analysis | [
"Please convert the Input Table from JSONL format to JSON format. Please respond only with the table. \n Input Table: {\"name\":\"Roosevelt County 050\",\"id\":22705,\"nametype\":\"Valid\",\"recclass\":\"L4\",\"mass (g)\":13.1,\"fall\":\"Found\",\"year\":1971.0,\"reclat\":34.08333}\n{\"name\":\"Asuka 881632\",\"id\":4341,\"nametype\":\"Valid\",\"recclass\":\"CO3\",\"mass (g)\":138.11,\"fall\":\"Found\",\"year\":1988.0,\"reclat\":-72.0}\n{\"name\":\"Asuka 87345\",\"id\":2702,\"nametype\":\"Valid\",\"recclass\":\"H4\",\"mass (g)\":73.78,\"fall\":\"Found\",\"year\":1987.0,\"reclat\":-72.0}\n{\"name\":\"Queen Alexandra Rang\",\"id\":19882,\"nametype\":\"Valid\",\"recclass\":\"L6\",\"mass (g)\":71.8,\"fall\":\"Found\",\"year\":1994.0,\"reclat\":-84.0}\n{\"name\":\"Northwest Africa 827\",\"id\":17856,\"nametype\":\"Valid\",\"recclass\":\"H3.9\",\"mass (g)\":48.7,\"fall\":\"Found\",\"year\":2000.0,\"reclat\":null}\n \n Output: \n"
] | {"36341":{"name":"Roosevelt County 050","id":22705,"nametype":"Valid","recclass":"L4","mass (g)":13.1,"fall":"Found","year":1971.0,"reclat":34.08333},"4568":{"name":"Asuka 881632","id":4341,"nametype":"Valid","recclass":"CO3","mass (g)":138.11,"fall":"Found","year":1988.0,"reclat":-72.0},"3707":{"name":"Asuka 87345","id":2702,"nametype":"Valid","recclass":"H4","mass (g)":73.78,"fall":"Found","year":1987.0,"reclat":-72.0},"33052":{"name":"Queen Alexandra Rang","id":19882,"nametype":"Valid","recclass":"L6","mass (g)":71.8,"fall":"Found","year":1994.0,"reclat":-84.0},"30803":{"name":"Northwest Africa 827","id":17856,"nametype":"Valid","recclass":"H3.9","mass (g)":48.7,"fall":"Found","year":2000.0,"reclat":null}} | tablereformat | 2024-06-24T00:00:00 | |
0bedfad80bcaab18b0ab15531247a61a8b75f42c6e87c40f05d398dc25984d35 | data_analysis | [
"Please convert the Input Table from TSV format to CSV format. Please respond only with the table. \n Input Table: longitude\tlatitude\tstart_date\tend_date\tsource\thorizon_lower\thorizon_upper\taluminium_extractable\n34.32938\t-24.17005\t01/01/2008\t31/12/2018\tafsis_spectral\t20\t0\t392.113\n31.84637\t-8.19007\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t1148.256\n37.44746\t-5.31403\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t967.844\n37.08281\t-6.91857\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t999.199\n33.01138\t-3.06592\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t586.904\n-7.81056\t14.83462\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t550.305\n-2.40365\t6.98108\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t704.25\n35.36507\t-7.94579\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t904.558\n7.69961\t11.55999\t01/01/2008\t31/12/2018\tafsis_wetchem\t20\t0\t578.975\n31.22275\t-7.85177\t01/01/2008\t31/12/2018\tafsis_spectral\t20\t0\t745.065\n-13.42865\t10.53617\t01/01/2008\t31/12/2018\tafsis_spectral\t20\t0\t1861.265\n32.18869\t-2.47482\t01/01/2008\t31/12/2018\tafsis_spectral\t50\t20\t566.69\n \n Output: \n"
] | longitude,latitude,start_date,end_date,source,horizon_lower,horizon_upper,aluminium_extractable
34.32938,-24.17005,01/01/2008,31/12/2018,afsis_spectral,20,0,392.113
31.84637,-8.19007,01/01/2008,31/12/2018,afsis_spectral,50,20,1148.256
37.44746,-5.31403,01/01/2008,31/12/2018,afsis_spectral,50,20,967.844
37.08281,-6.91857,01/01/2008,31/12/2018,afsis_spectral,50,20,999.199
33.01138,-3.06592,01/01/2008,31/12/2018,afsis_spectral,50,20,586.904
-7.81056,14.83462,01/01/2008,31/12/2018,afsis_spectral,50,20,550.305
-2.40365,6.98108,01/01/2008,31/12/2018,afsis_spectral,50,20,704.25
35.36507,-7.94579,01/01/2008,31/12/2018,afsis_spectral,50,20,904.558
7.69961,11.55999,01/01/2008,31/12/2018,afsis_wetchem,20,0,578.975
31.22275,-7.85177,01/01/2008,31/12/2018,afsis_spectral,20,0,745.065
-13.42865,10.53617,01/01/2008,31/12/2018,afsis_spectral,20,0,1861.265
32.18869,-2.47482,01/01/2008,31/12/2018,afsis_spectral,50,20,566.69
| tablereformat | 2024-06-24T00:00:00 | |
9cd37119651a821e2695ee073ddf004d50d9add830f4e7f3bc469f9b0d4ddbe3 | data_analysis | [
"Please convert the Input Table from JSON format to HTML format. Please respond only with the table. \n Input Table: {\"963\":{\"fecha_reporte_web\":\"2020-09-03 00:00:00\",\"id_de_caso\":640218,\"fecha_de_notificaci_n\":\"2020-08-10 00:00:00\",\"departamento\":5,\"departamento_nom\":\"ANTIOQUIA\",\"ciudad_municipio\":5631,\"ciudad_municipio_nom\":\"SABANETA\",\"edad\":53},\"777\":{\"fecha_reporte_web\":\"2020-06-25 00:00:00\",\"id_de_caso\":78509,\"fecha_de_notificaci_n\":\"2020-06-19 00:00:00\",\"departamento\":70,\"departamento_nom\":\"SUCRE\",\"ciudad_municipio\":70001,\"ciudad_municipio_nom\":\"SINCELEJO\",\"edad\":31},\"495\":{\"fecha_reporte_web\":\"2020-07-18 00:00:00\",\"id_de_caso\":186899,\"fecha_de_notificaci_n\":\"2020-06-30 00:00:00\",\"departamento\":13001,\"departamento_nom\":\"CARTAGENA\",\"ciudad_municipio\":13001,\"ciudad_municipio_nom\":\"CARTAGENA\",\"edad\":62},\"618\":{\"fecha_reporte_web\":\"2020-09-03 00:00:00\",\"id_de_caso\":640672,\"fecha_de_notificaci_n\":\"2020-08-21 00:00:00\",\"departamento\":5,\"departamento_nom\":\"ANTIOQUIA\",\"ciudad_municipio\":5088,\"ciudad_municipio_nom\":\"BELLO\",\"edad\":67},\"331\":{\"fecha_reporte_web\":\"2020-07-18 00:00:00\",\"id_de_caso\":186936,\"fecha_de_notificaci_n\":\"2020-06-29 00:00:00\",\"departamento\":47001,\"departamento_nom\":\"STA MARTA D.E.\",\"ciudad_municipio\":47001,\"ciudad_municipio_nom\":\"SANTA MARTA\",\"edad\":48},\"220\":{\"fecha_reporte_web\":\"2021-01-14 00:00:00\",\"id_de_caso\":1841876,\"fecha_de_notificaci_n\":\"2021-01-12 00:00:00\",\"departamento\":11,\"departamento_nom\":\"BOGOTA\",\"ciudad_municipio\":11001,\"ciudad_municipio_nom\":\"BOGOTA\",\"edad\":34},\"497\":{\"fecha_reporte_web\":\"2020-07-18 00:00:00\",\"id_de_caso\":186901,\"fecha_de_notificaci_n\":\"2020-06-30 00:00:00\",\"departamento\":25,\"departamento_nom\":\"CUNDINAMARCA\",\"ciudad_municipio\":25473,\"ciudad_municipio_nom\":\"MOSQUERA\",\"edad\":18},\"51\":{\"fecha_reporte_web\":\"2020-12-24 00:00:00\",\"id_de_caso\":1556950,\"fecha_de_notificaci_n\":\"2020-12-18 00:00:00\",\"departamento\":76,\"departamento_nom\":\"VALLE\",\"ciudad_municipio\":76001,\"ciudad_municipio_nom\":\"CALI\",\"edad\":78},\"115\":{\"fecha_reporte_web\":\"2020-08-05 00:00:00\",\"id_de_caso\":338086,\"fecha_de_notificaci_n\":\"2020-07-30 00:00:00\",\"departamento\":76,\"departamento_nom\":\"VALLE\",\"ciudad_municipio\":76001,\"ciudad_municipio_nom\":\"CALI\",\"edad\":25},\"865\":{\"fecha_reporte_web\":\"2021-01-07 00:00:00\",\"id_de_caso\":1734667,\"fecha_de_notificaci_n\":\"2021-01-02 00:00:00\",\"departamento\":76,\"departamento_nom\":\"VALLE\",\"ciudad_municipio\":76001,\"ciudad_municipio_nom\":\"CALI\",\"edad\":36},\"186\":{\"fecha_reporte_web\":\"2021-01-14 00:00:00\",\"id_de_caso\":1841916,\"fecha_de_notificaci_n\":\"2021-01-11 00:00:00\",\"departamento\":11,\"departamento_nom\":\"BOGOTA\",\"ciudad_municipio\":11001,\"ciudad_municipio_nom\":\"BOGOTA\",\"edad\":23}} \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>fecha_reporte_web</th>
<th>id_de_caso</th>
<th>fecha_de_notificaci_n</th>
<th>departamento</th>
<th>departamento_nom</th>
<th>ciudad_municipio</th>
<th>ciudad_municipio_nom</th>
<th>edad</th>
</tr>
</thead>
<tbody>
<tr>
<td>2020-09-03 00:00:00</td>
<td>640218</td>
<td>2020-08-10 00:00:00</td>
<td>5</td>
<td>ANTIOQUIA</td>
<td>5631</td>
<td>SABANETA</td>
<td>53</td>
</tr>
<tr>
<td>2020-06-25 00:00:00</td>
<td>78509</td>
<td>2020-06-19 00:00:00</td>
<td>70</td>
<td>SUCRE</td>
<td>70001</td>
<td>SINCELEJO</td>
<td>31</td>
</tr>
<tr>
<td>2020-07-18 00:00:00</td>
<td>186899</td>
<td>2020-06-30 00:00:00</td>
<td>13001</td>
<td>CARTAGENA</td>
<td>13001</td>
<td>CARTAGENA</td>
<td>62</td>
</tr>
<tr>
<td>2020-09-03 00:00:00</td>
<td>640672</td>
<td>2020-08-21 00:00:00</td>
<td>5</td>
<td>ANTIOQUIA</td>
<td>5088</td>
<td>BELLO</td>
<td>67</td>
</tr>
<tr>
<td>2020-07-18 00:00:00</td>
<td>186936</td>
<td>2020-06-29 00:00:00</td>
<td>47001</td>
<td>STA MARTA D.E.</td>
<td>47001</td>
<td>SANTA MARTA</td>
<td>48</td>
</tr>
<tr>
<td>2021-01-14 00:00:00</td>
<td>1841876</td>
<td>2021-01-12 00:00:00</td>
<td>11</td>
<td>BOGOTA</td>
<td>11001</td>
<td>BOGOTA</td>
<td>34</td>
</tr>
<tr>
<td>2020-07-18 00:00:00</td>
<td>186901</td>
<td>2020-06-30 00:00:00</td>
<td>25</td>
<td>CUNDINAMARCA</td>
<td>25473</td>
<td>MOSQUERA</td>
<td>18</td>
</tr>
<tr>
<td>2020-12-24 00:00:00</td>
<td>1556950</td>
<td>2020-12-18 00:00:00</td>
<td>76</td>
<td>VALLE</td>
<td>76001</td>
<td>CALI</td>
<td>78</td>
</tr>
<tr>
<td>2020-08-05 00:00:00</td>
<td>338086</td>
<td>2020-07-30 00:00:00</td>
<td>76</td>
<td>VALLE</td>
<td>76001</td>
<td>CALI</td>
<td>25</td>
</tr>
<tr>
<td>2021-01-07 00:00:00</td>
<td>1734667</td>
<td>2021-01-02 00:00:00</td>
<td>76</td>
<td>VALLE</td>
<td>76001</td>
<td>CALI</td>
<td>36</td>
</tr>
<tr>
<td>2021-01-14 00:00:00</td>
<td>1841916</td>
<td>2021-01-11 00:00:00</td>
<td>11</td>
<td>BOGOTA</td>
<td>11001</td>
<td>BOGOTA</td>
<td>23</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
af06a250c4d58799cd7bf0f73df94134106098b21d8b0a3a3e61dd9eacda6724 | data_analysis | [
"Please convert the Input Table from CSV format to TSV format. Please respond only with the table. \n Input Table: :@computed_region_43wa_7qmu,location,case_,date_of_occurrence,block,y_coordinate,_primary_decsription,latitude\n5.0,{'latitude': '42.018,JG481551,2023-10-28T00:07:00.,075XX N PAULINA ST,1950023,CRIMINAL DAMAGE,42.018498254\n22.0,{'latitude': '41.705,JG513212,2023-11-21T19:28:00.,010XX W 103RD PL,1836186,ASSAULT,41.70595701\n36.0,{'latitude': '41.876,JG526062,2023-11-30T21:00:00.,002XX W VAN BUREN ST,1898485,CRIMINAL DAMAGE,41.87683815\n8.0,{'latitude': '41.807,JG519147,2023-11-21T12:30:00.,046XX W 47TH ST,1873061,THEFT,41.807662149\n46.0,{'latitude': '41.909,JG561296,2023-12-31T22:34:00.,015XX N SEDGWICK ST,1910545,BATTERY,41.909959349\n24.0,{'latitude': '41.979,JG496701,2023-11-08T16:39:00.,025XX W BALMORAL AVE,1935772,OTHER OFFENSE,41.979505088\n23.0,{'latitude': '41.878,JG512547,2023-11-21T08:45:00.,040XX W WILCOX ST,1899030,NARCOTICS,41.878858482\n31.0,{'latitude': '41.749,JG492993,2023-11-05T22:04:00.,079XX S SANGAMON ST,1852130,BATTERY,41.749707624\n40.0,{'latitude': '41.937,JG542128,2023-12-15T00:00:00.,030XX N ASHLAND AVE,1920425,THEFT,41.937249995\n43.0,{'latitude': '41.707,JH117137,2024-01-16T10:52:00.,102XX S MICHIGAN AVE,1836918,OTHER OFFENSE,41.707793505\n38.0,{'latitude': '41.997,JG496744,2023-11-08T16:41:00.,054XX W DEVON AVE,1942130,BATTERY,41.997327626\n36.0,{'latitude': '41.890,JG560653,2023-12-31T09:30:00.,004XX N ORLEANS ST,1903356,THEFT,41.890221601\n \n Output: \n"
] | :@computed_region_43wa_7qmu location case_ date_of_occurrence block y_coordinate _primary_decsription latitude
5.0 {'latitude': '42.018 JG481551 2023-10-28T00:07:00. 075XX N PAULINA ST 1950023 CRIMINAL DAMAGE 42.018498254
22.0 {'latitude': '41.705 JG513212 2023-11-21T19:28:00. 010XX W 103RD PL 1836186 ASSAULT 41.70595701
36.0 {'latitude': '41.876 JG526062 2023-11-30T21:00:00. 002XX W VAN BUREN ST 1898485 CRIMINAL DAMAGE 41.87683815
8.0 {'latitude': '41.807 JG519147 2023-11-21T12:30:00. 046XX W 47TH ST 1873061 THEFT 41.807662149
46.0 {'latitude': '41.909 JG561296 2023-12-31T22:34:00. 015XX N SEDGWICK ST 1910545 BATTERY 41.909959349
24.0 {'latitude': '41.979 JG496701 2023-11-08T16:39:00. 025XX W BALMORAL AVE 1935772 OTHER OFFENSE 41.979505088
23.0 {'latitude': '41.878 JG512547 2023-11-21T08:45:00. 040XX W WILCOX ST 1899030 NARCOTICS 41.878858482
31.0 {'latitude': '41.749 JG492993 2023-11-05T22:04:00. 079XX S SANGAMON ST 1852130 BATTERY 41.749707624
40.0 {'latitude': '41.937 JG542128 2023-12-15T00:00:00. 030XX N ASHLAND AVE 1920425 THEFT 41.937249995
43.0 {'latitude': '41.707 JH117137 2024-01-16T10:52:00. 102XX S MICHIGAN AVE 1836918 OTHER OFFENSE 41.707793505
38.0 {'latitude': '41.997 JG496744 2023-11-08T16:41:00. 054XX W DEVON AVE 1942130 BATTERY 41.997327626
36.0 {'latitude': '41.890 JG560653 2023-12-31T09:30:00. 004XX N ORLEANS ST 1903356 THEFT 41.890221601
| tablereformat | 2024-06-24T00:00:00 | |
fe2193c57ea45001a4926fe79284b5a1405531d70f8ff5e5a4ebfeea8a79a10e | data_analysis | [
"Please convert the Input Table from HTML format to TSV format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>처방번호</th>\n <th>처방명(한글)</th>\n <th>처방명(한문)</th>\n <th>원전(한글)</th>\n <th>원전(한문)</th>\n <th>약재명(한글)</th>\n <th>약재명(한문)</th>\n <th>함량(g)</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>47</td>\n <td>청서익기탕</td>\n <td>淸署益氣湯</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>황기</td>\n <td>黃芪</td>\n <td>3.75</td>\n </tr>\n <tr>\n <td>7</td>\n <td>내소산</td>\n <td>內消散</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>아출</td>\n <td>莪朮</td>\n <td>3.75</td>\n </tr>\n <tr>\n <td>37</td>\n <td>오림산</td>\n <td>五淋散</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>치자</td>\n <td>梔子</td>\n <td>7.50</td>\n </tr>\n <tr>\n <td>19</td>\n <td>보중익기탕</td>\n <td>補中益氣湯</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>황기</td>\n <td>黃芪</td>\n <td>5.63</td>\n </tr>\n <tr>\n <td>21</td>\n <td>복령보심탕</td>\n <td>茯苓補心湯</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>진피</td>\n <td>陳皮</td>\n <td>1.88</td>\n </tr>\n <tr>\n <td>50</td>\n <td>평위산</td>\n <td>平胃散</td>\n <td>동의보감</td>\n <td>東醫寶鑑</td>\n <td>대추</td>\n <td>大棗</td>\n <td>2.00</td>\n </tr>\n <tr>\n <td>52</td>\n <td>향사평위산</td>\n <td>香砂平胃散</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>목향</td>\n <td>木香</td>\n <td>1.88</td>\n </tr>\n <tr>\n <td>50</td>\n <td>평위산</td>\n <td>平胃散</td>\n <td>동의보감</td>\n <td>東醫寶鑑</td>\n <td>생강</td>\n <td>生薑</td>\n <td>1.50</td>\n </tr>\n <tr>\n <td>49</td>\n <td>팔물탕</td>\n <td>八物湯</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>천궁</td>\n <td>川芎</td>\n <td>4.50</td>\n </tr>\n <tr>\n <td>35</td>\n <td>안태음</td>\n <td>安胎飮</td>\n <td>동의보감</td>\n <td>東醫寶鑑</td>\n <td>황금</td>\n <td>黃芩</td>\n <td>5.63</td>\n </tr>\n <tr>\n <td>19</td>\n <td>보중익기탕</td>\n <td>補中益氣湯</td>\n <td>방약합편</td>\n <td>方藥合編</td>\n <td>인삼</td>\n <td>人蔘</td>\n <td>3.75</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | 처방번호 처방명(한글) 처방명(한문) 원전(한글) 원전(한문) 약재명(한글) 약재명(한문) 함량(g)
47 청서익기탕 淸署益氣湯 방약합편 方藥合編 황기 黃芪 3.75
7 내소산 內消散 방약합편 方藥合編 아출 莪朮 3.75
37 오림산 五淋散 방약합편 方藥合編 치자 梔子 7.5
19 보중익기탕 補中益氣湯 방약합편 方藥合編 황기 黃芪 5.63
21 복령보심탕 茯苓補心湯 방약합편 方藥合編 진피 陳皮 1.88
50 평위산 平胃散 동의보감 東醫寶鑑 대추 大棗 2.0
52 향사평위산 香砂平胃散 방약합편 方藥合編 목향 木香 1.88
50 평위산 平胃散 동의보감 東醫寶鑑 생강 生薑 1.5
49 팔물탕 八物湯 방약합편 方藥合編 천궁 川芎 4.5
35 안태음 安胎飮 동의보감 東醫寶鑑 황금 黃芩 5.63
19 보중익기탕 補中益氣湯 방약합편 方藥合編 인삼 人蔘 3.75
| tablereformat | 2024-06-24T00:00:00 | |
f2dcd6a353c4390c3d98c8d4ff03d778f00d0d6c6b9f8238af4f09f81f6d9924 | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"151\":{\"Country\":\"Comoros\",\"Inequality HDI\":3},\"13\":{\"Country\":\"Liechtenstein\",\"Inequality HDI\":0},\"91\":{\"Country\":\"Libya\",\"Inequality HDI\":2},\"165\":{\"Country\":\"C\\u00f4te d'Ivoire\",\"Inequality HDI\":3},\"30\":{\"Country\":\"Estonia\",\"Inequality HDI\":0},\"53\":{\"Country\":\"Antigua and Barbuda\",\"Inequality HDI\":0},\"63\":{\"Country\":\"Costa Rica\",\"Inequality HDI\":2},\"95\":{\"Country\":\"Mongolia\",\"Inequality HDI\":2},\"33\":{\"Country\":\"Bahrain\",\"Inequality HDI\":0},\"173\":{\"Country\":\"Gambia\",\"Inequality HDI\":3}} \n Output: \n"
] | Country,Inequality HDI
Comoros,3
Liechtenstein,0
Libya,2
Côte d'Ivoire,3
Estonia,0
Antigua and Barbuda,0
Costa Rica,2
Mongolia,2
Bahrain,0
Gambia,3
| tablereformat | 2024-06-24T00:00:00 | |
4d22f4f91dfc8188c2244048d968e9885ee063658c14fcf43c8156983f5a395f | data_analysis | [
"Please convert the Input Table from TSV format to HTML format. Please respond only with the table. \n Input Table: name\tid\tnametype\trecclass\tmass\tfall\tyear\treclat\nOvambo\t18055\tValid\tL6\t121.5\tFell\t1900-01-01T00:00:00.\t-18.0\nAndura\t2298\tValid\tH6\t17900.0\tFell\t1939-01-01T00:00:00.\t20.88333\nPetersburg\t18801\tValid\tEucrite-pmict\t1800.0\tFell\t1855-01-01T00:00:00.\t35.3\nMeester-Cornelis\t15470\tValid\tH5\t24750.0\tFell\t1915-01-01T00:00:00.\t-6.23333\nBhagur\t5037\tValid\tL6\t18.0\tFell\t1877-01-01T00:00:00.\t20.88333\nHachi-oji\t11468\tValid\tH?\t0.2\tFell\t1817-01-01T00:00:00.\t35.65\nTagish Lake\t23782\tValid\tC2-ung\t10000.0\tFell\t2000-01-01T00:00:00.\t59.70444\nChicora\t5349\tValid\tLL6\t303.0\tFell\t1938-01-01T00:00:00.\t40.93333\nOterøy\t18042\tValid\tL6\t246.0\tFell\t1928-01-01T00:00:00.\t58.88333\nMoore County\t16736\tValid\tEucrite-cm\t1880.0\tFell\t1913-01-01T00:00:00.\t35.41667\nConquista\t5418\tValid\tH4\t20350.0\tFell\t1965-01-01T00:00:00.\t-19.85\nKagarlyk\t12227\tValid\tL6\t1900.0\tFell\t1908-01-01T00:00:00.\t49.86667\nItapicuru-Mirim\t12056\tValid\tH5\t2024.0\tFell\t1879-01-01T00:00:00.\t-3.4\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>name</th>
<th>id</th>
<th>nametype</th>
<th>recclass</th>
<th>mass</th>
<th>fall</th>
<th>year</th>
<th>reclat</th>
</tr>
</thead>
<tbody>
<tr>
<td>Ovambo</td>
<td>18055</td>
<td>Valid</td>
<td>L6</td>
<td>121.5</td>
<td>Fell</td>
<td>1900-01-01T00:00:00.</td>
<td>-18.00000</td>
</tr>
<tr>
<td>Andura</td>
<td>2298</td>
<td>Valid</td>
<td>H6</td>
<td>17900.0</td>
<td>Fell</td>
<td>1939-01-01T00:00:00.</td>
<td>20.88333</td>
</tr>
<tr>
<td>Petersburg</td>
<td>18801</td>
<td>Valid</td>
<td>Eucrite-pmict</td>
<td>1800.0</td>
<td>Fell</td>
<td>1855-01-01T00:00:00.</td>
<td>35.30000</td>
</tr>
<tr>
<td>Meester-Cornelis</td>
<td>15470</td>
<td>Valid</td>
<td>H5</td>
<td>24750.0</td>
<td>Fell</td>
<td>1915-01-01T00:00:00.</td>
<td>-6.23333</td>
</tr>
<tr>
<td>Bhagur</td>
<td>5037</td>
<td>Valid</td>
<td>L6</td>
<td>18.0</td>
<td>Fell</td>
<td>1877-01-01T00:00:00.</td>
<td>20.88333</td>
</tr>
<tr>
<td>Hachi-oji</td>
<td>11468</td>
<td>Valid</td>
<td>H?</td>
<td>0.2</td>
<td>Fell</td>
<td>1817-01-01T00:00:00.</td>
<td>35.65000</td>
</tr>
<tr>
<td>Tagish Lake</td>
<td>23782</td>
<td>Valid</td>
<td>C2-ung</td>
<td>10000.0</td>
<td>Fell</td>
<td>2000-01-01T00:00:00.</td>
<td>59.70444</td>
</tr>
<tr>
<td>Chicora</td>
<td>5349</td>
<td>Valid</td>
<td>LL6</td>
<td>303.0</td>
<td>Fell</td>
<td>1938-01-01T00:00:00.</td>
<td>40.93333</td>
</tr>
<tr>
<td>Oterøy</td>
<td>18042</td>
<td>Valid</td>
<td>L6</td>
<td>246.0</td>
<td>Fell</td>
<td>1928-01-01T00:00:00.</td>
<td>58.88333</td>
</tr>
<tr>
<td>Moore County</td>
<td>16736</td>
<td>Valid</td>
<td>Eucrite-cm</td>
<td>1880.0</td>
<td>Fell</td>
<td>1913-01-01T00:00:00.</td>
<td>35.41667</td>
</tr>
<tr>
<td>Conquista</td>
<td>5418</td>
<td>Valid</td>
<td>H4</td>
<td>20350.0</td>
<td>Fell</td>
<td>1965-01-01T00:00:00.</td>
<td>-19.85000</td>
</tr>
<tr>
<td>Kagarlyk</td>
<td>12227</td>
<td>Valid</td>
<td>L6</td>
<td>1900.0</td>
<td>Fell</td>
<td>1908-01-01T00:00:00.</td>
<td>49.86667</td>
</tr>
<tr>
<td>Itapicuru-Mirim</td>
<td>12056</td>
<td>Valid</td>
<td>H5</td>
<td>2024.0</td>
<td>Fell</td>
<td>1879-01-01T00:00:00.</td>
<td>-3.40000</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
e321ff8846ddd951d029b63efd6f0cdadb5b6daae266e3b21a6f3e805faf75e4 | data_analysis | [
"Please convert the Input Table from JSONL format to TSV format. Please respond only with the table. \n Input Table: {\"Review Text\":\"This book opened my \",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"I learned about fina\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"Love the story, and \",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"It looks good, the f\",\"Rating\":\"4.0 out of 5 stars\"}\n{\"Review Text\":\"Perspective.\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"It is an absolute ga\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"Such a great read\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"Awesome Book- Easy r\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"Wish I had read this\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"This book will chang\",\"Rating\":\"5.0 out of 5 stars\"}\n{\"Review Text\":\"Ordered the paperbac\",\"Rating\":\"4.0 out of 5 stars\"}\n \n Output: \n"
] | Review Text Rating
This book opened my 5.0 out of 5 stars
I learned about fina 5.0 out of 5 stars
Love the story, and 5.0 out of 5 stars
It looks good, the f 4.0 out of 5 stars
Perspective. 5.0 out of 5 stars
It is an absolute ga 5.0 out of 5 stars
Such a great read 5.0 out of 5 stars
Awesome Book- Easy r 5.0 out of 5 stars
Wish I had read this 5.0 out of 5 stars
This book will chang 5.0 out of 5 stars
Ordered the paperbac 4.0 out of 5 stars
| tablereformat | 2024-06-24T00:00:00 | |
dbc100e6b17f59547b155762e53564c1d30e21197f86780b166e4c067ee4b0e8 | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"743\":{\"res_geo_short\":\"Yuba\",\"work_geo_short\":\"Nevada\",\"year\":2016,\"total\":970,\"drove_alone\":750,\"_2_person_carpool\":170,\"_3_person_carpool\":45,\"_4_person_carpool\":0},\"428\":{\"res_geo_short\":\"San Joaquin\",\"work_geo_short\":\"Lake\",\"year\":2016,\"total\":20,\"drove_alone\":0,\"_2_person_carpool\":20,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"941\":{\"res_geo_short\":\"San Mateo\",\"work_geo_short\":\"San Benito\",\"year\":2016,\"total\":25,\"drove_alone\":25,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"986\":{\"res_geo_short\":\"Madera\",\"work_geo_short\":\"San Diego\",\"year\":2016,\"total\":40,\"drove_alone\":10,\"_2_person_carpool\":0,\"_3_person_carpool\":10,\"_4_person_carpool\":0},\"943\":{\"res_geo_short\":\"Santa Cruz\",\"work_geo_short\":\"San Benito\",\"year\":2016,\"total\":545,\"drove_alone\":385,\"_2_person_carpool\":80,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"980\":{\"res_geo_short\":\"Contra Costa\",\"work_geo_short\":\"San Diego\",\"year\":2016,\"total\":230,\"drove_alone\":190,\"_2_person_carpool\":15,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"798\":{\"res_geo_short\":\"Napa\",\"work_geo_short\":\"Placer\",\"year\":2016,\"total\":15,\"drove_alone\":15,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"79\":{\"res_geo_short\":\"Butte\",\"work_geo_short\":\"Butte\",\"year\":2016,\"total\":80320,\"drove_alone\":59770,\"_2_person_carpool\":6305,\"_3_person_carpool\":1445,\"_4_person_carpool\":340},\"151\":{\"res_geo_short\":\"Yolo\",\"work_geo_short\":\"Colusa\",\"year\":2016,\"total\":280,\"drove_alone\":280,\"_2_person_carpool\":0,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"518\":{\"res_geo_short\":\"Tulare\",\"work_geo_short\":\"Madera\",\"year\":2016,\"total\":255,\"drove_alone\":175,\"_2_person_carpool\":60,\"_3_person_carpool\":0,\"_4_person_carpool\":20},\"594\":{\"res_geo_short\":\"Sonoma\",\"work_geo_short\":\"Mendocino\",\"year\":2016,\"total\":1030,\"drove_alone\":965,\"_2_person_carpool\":55,\"_3_person_carpool\":0,\"_4_person_carpool\":0},\"271\":{\"res_geo_short\":\"Stanislaus\",\"work_geo_short\":\"Fresno\",\"year\":2016,\"total\":555,\"drove_alone\":390,\"_2_person_carpool\":30,\"_3_person_carpool\":45,\"_4_person_carpool\":0}} \n Output: \n"
] | res_geo_short,work_geo_short,year,total,drove_alone,_2_person_carpool,_3_person_carpool,_4_person_carpool
Yuba,Nevada,2016,970,750,170,45,0
San Joaquin,Lake,2016,20,0,20,0,0
San Mateo,San Benito,2016,25,25,0,0,0
Madera,San Diego,2016,40,10,0,10,0
Santa Cruz,San Benito,2016,545,385,80,0,0
Contra Costa,San Diego,2016,230,190,15,0,0
Napa,Placer,2016,15,15,0,0,0
Butte,Butte,2016,80320,59770,6305,1445,340
Yolo,Colusa,2016,280,280,0,0,0
Tulare,Madera,2016,255,175,60,0,20
Sonoma,Mendocino,2016,1030,965,55,0,0
Stanislaus,Fresno,2016,555,390,30,45,0
| tablereformat | 2024-06-24T00:00:00 | |
083282355242eb434e4c4559eabea700f94928fd2e1d0d4df6a59ee143866e60 | data_analysis | [
"Please convert the Input Table from CSV format to JSONL format. Please respond only with the table. \n Input Table: species,quantity\nSPLAKE,144790\nBROOK TROUT,232058\nSUNFISH BLUEGILL,47840\nSUCKER JUNE,80510\nBASS LARGEMOUTH,22765\nBULLHEAD CHANNEL CAT,183295\nKOKANEE,716220\nLAKE TROUT,2931\nGOLDEN TROUT,4581\nTIGER TROUT,401119\nGRAYLING ARCTIC,84211\nCHUB,34740\nALL TROUT,1650\nRAINBOW,3904196\n \n Output: \n"
] | {"species":"SPLAKE","quantity":144790}
{"species":"BROOK TROUT","quantity":232058}
{"species":"SUNFISH BLUEGILL","quantity":47840}
{"species":"SUCKER JUNE","quantity":80510}
{"species":"BASS LARGEMOUTH","quantity":22765}
{"species":"BULLHEAD CHANNEL CAT","quantity":183295}
{"species":"KOKANEE","quantity":716220}
{"species":"LAKE TROUT","quantity":2931}
{"species":"GOLDEN TROUT","quantity":4581}
{"species":"TIGER TROUT","quantity":401119}
{"species":"GRAYLING ARCTIC","quantity":84211}
{"species":"CHUB","quantity":34740}
{"species":"ALL TROUT","quantity":1650}
{"species":"RAINBOW","quantity":3904196}
| tablereformat | 2024-06-24T00:00:00 | |
804182061bd3648a5d1079e9836aa8cb7e9201a32f190863551299075fbeac47 | data_analysis | [
"Please convert the Input Table from HTML format to TSV format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>interaction_id</th>\n <th>query_time</th>\n <th>domain</th>\n <th>question_type</th>\n <th>static_or_dynamic</th>\n <th>query</th>\n <th>answer</th>\n <th>alternative_answers</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>ee0b351c-5a00-48e2-9</td>\n <td>03/19/2024, 23:49:23</td>\n <td>movie</td>\n <td>simple</td>\n <td>static</td>\n <td>in 2008, which movie</td>\n <td>the golden compass</td>\n <td>[]</td>\n </tr>\n <tr>\n <td>d660a07b-c598-4be9-b</td>\n <td>03/19/2024, 23:34:54</td>\n <td>movie</td>\n <td>simple</td>\n <td>static</td>\n <td>which movie was reco</td>\n <td>ratatouille</td>\n <td>[]</td>\n </tr>\n <tr>\n <td>42163b55-9bf6-4412-a</td>\n <td>03/15/2024, 17:05:41</td>\n <td>sports</td>\n <td>comparison</td>\n <td>static</td>\n <td>during the 2022-12 s</td>\n <td>true</td>\n <td>[]</td>\n </tr>\n <tr>\n <td>82e66a91-22eb-4806-a</td>\n <td>03/05/2024, 23:19:09</td>\n <td>music</td>\n <td>simple_w_condition</td>\n <td>static</td>\n <td>what is the song tha</td>\n <td>cold heart</td>\n <td>[]</td>\n </tr>\n <tr>\n <td>a91df871-089c-4b91-9</td>\n <td>03/19/2024, 23:17:23</td>\n <td>movie</td>\n <td>simple</td>\n <td>static</td>\n <td>who directed bridget</td>\n <td>beeban kidron</td>\n <td>[]</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | interaction_id query_time domain question_type static_or_dynamic query answer alternative_answers
ee0b351c-5a00-48e2-9 03/19/2024, 23:49:23 movie simple static in 2008, which movie the golden compass []
d660a07b-c598-4be9-b 03/19/2024, 23:34:54 movie simple static which movie was reco ratatouille []
42163b55-9bf6-4412-a 03/15/2024, 17:05:41 sports comparison static during the 2022-12 s true []
82e66a91-22eb-4806-a 03/05/2024, 23:19:09 music simple_w_condition static what is the song tha cold heart []
a91df871-089c-4b91-9 03/19/2024, 23:17:23 movie simple static who directed bridget beeban kidron []
| tablereformat | 2024-06-24T00:00:00 | |
16b99f3754472adfba51046b35d0bb8af8d7e95e8dbac50d5f0f82b9775229df | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"39\":{\"basisid\":\"27920239-c9fd-4a31-a\",\"data_category\":\"Environment\",\"data_subcategory\":\"Climate\",\"data_set\":\"Adapting to Rising T\",\"description\":\"This feature set is \",\"data_steward\":\"Michael Smith\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"},\"9\":{\"basisid\":\"21c09c97-9ed5-436b-b\",\"data_category\":\"Environment\",\"data_subcategory\":\"Natural Hazards\",\"data_set\":\"CalFire Fire Severit\",\"description\":\"Features represent F\",\"data_steward\":\"Michael Germeraad\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"},\"21\":{\"basisid\":\"db70c05e-7741-11e9-8\",\"data_category\":\"Environment\",\"data_subcategory\":\"Natural Hazards\",\"data_set\":\"Shaking Scenarios\",\"description\":\"Projected intensitie\",\"data_steward\":\"Michael Germeraad\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"},\"15\":{\"basisid\":\"db70b30c-7741-11e9-8\",\"data_category\":\"Environment\",\"data_subcategory\":\"Natural Hazards\",\"data_set\":\"Liquefaction Study Z\",\"description\":\"Liquefaction hazard \",\"data_steward\":\"Michael Germeraad\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"},\"24\":{\"basisid\":\"db70cb44-7741-11e9-8\",\"data_category\":\"Environment\",\"data_subcategory\":\"Natural Hazards\",\"data_set\":\"Wildfire Threat\",\"description\":\"Wildland fire threat\",\"data_steward\":\"Michael Germeraad\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"},\"27\":{\"basisid\":\"db70a0e2-7741-11e9-8\",\"data_category\":\"Land & People\",\"data_subcategory\":\"Buildings\",\"data_set\":\"Buildings\",\"description\":\"The parcel\\/building \",\"data_steward\":\"Michael Reilly\",\"primary_uses\":\"UrbanSim Modeling\",\"format\":\"table\"},\"10\":{\"basisid\":\"db70c306-7741-11e9-8\",\"data_category\":\"Environment\",\"data_subcategory\":\"Natural Hazards\",\"data_set\":\"Debris Flow Source A\",\"description\":\"Debris flow source a\",\"data_steward\":\"Michael Germeraad\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"},\"43\":{\"basisid\":\"6ccfe813-61a5-46cf-b\",\"data_category\":\"Environment\",\"data_subcategory\":\"Species Habitat\",\"data_set\":\"Critical Habitat for\",\"description\":\"When a species is pr\",\"data_steward\":\"Michael Smith\",\"primary_uses\":\"UrbanSim Modeling; P\",\"format\":\"geo\"},\"25\":{\"basisid\":\"db70cc8e-7741-11e9-8\",\"data_category\":\"Environment\",\"data_subcategory\":\"Natural Hazards\",\"data_set\":\"Wildland-Urban Inter\",\"description\":\"Threat areas for the\",\"data_steward\":\"Michael Germeraad\",\"primary_uses\":\"Resiliance Programs;\",\"format\":\"geo\"}} \n Output: \n"
] | basisid,data_category,data_subcategory,data_set,description,data_steward,primary_uses,format
27920239-c9fd-4a31-a,Environment,Climate,Adapting to Rising T,This feature set is ,Michael Smith,Resiliance Programs;,geo
21c09c97-9ed5-436b-b,Environment,Natural Hazards,CalFire Fire Severit,Features represent F,Michael Germeraad,Resiliance Programs;,geo
db70c05e-7741-11e9-8,Environment,Natural Hazards,Shaking Scenarios,Projected intensitie,Michael Germeraad,Resiliance Programs;,geo
db70b30c-7741-11e9-8,Environment,Natural Hazards,Liquefaction Study Z,Liquefaction hazard ,Michael Germeraad,Resiliance Programs;,geo
db70cb44-7741-11e9-8,Environment,Natural Hazards,Wildfire Threat,Wildland fire threat,Michael Germeraad,Resiliance Programs;,geo
db70a0e2-7741-11e9-8,Land & People,Buildings,Buildings,The parcel/building ,Michael Reilly,UrbanSim Modeling,table
db70c306-7741-11e9-8,Environment,Natural Hazards,Debris Flow Source A,Debris flow source a,Michael Germeraad,Resiliance Programs;,geo
6ccfe813-61a5-46cf-b,Environment,Species Habitat,Critical Habitat for,When a species is pr,Michael Smith,UrbanSim Modeling; P,geo
db70cc8e-7741-11e9-8,Environment,Natural Hazards,Wildland-Urban Inter,Threat areas for the,Michael Germeraad,Resiliance Programs;,geo
| tablereformat | 2024-06-24T00:00:00 | |
00d7be878c842d12814cb113caf8503525f8cf845b7d3ca4b8387c843f06ebc9 | data_analysis | [
"Please convert the Input Table from CSV format to HTML format. Please respond only with the table. \n Input Table: Unnamed: 0,fecha,hora,sistema,bandera,precio,tipo_moneda,origen_dato\n915475,2017-11-27,15,RS,0,75.55,1,5\n44001,2013-02-22,4,EE,0,39.05,1,2\n1778281,2021-11-04,18,CSUD,0,250.0,1,8\n10955,2011-10-20,12,HU,1,72.322,1,6\n1760435,2021-10-13,22,EE,1,170.54,1,2\n797217,2017-04-17,17,LT,1,28.05,1,2\n1258422,2019-08-28,24,SE3,1,35.64,1,2\n108523,2013-07-21,13,NO5,1,35.11,1,2\n252656,2014-05-26,21,SE1,1,42.29,1,2\n637038,2016-06-18,8,NO2,1,23.36,1,2\n606399,2016-04-21,7,SE2,1,21.89,1,2\n1132360,2019-01-12,10,ES,0,68.0,1,1\n570188,2016-02-13,6,NO4,0,18.13,1,2\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>Unnamed: 0</th>
<th>fecha</th>
<th>hora</th>
<th>sistema</th>
<th>bandera</th>
<th>precio</th>
<th>tipo_moneda</th>
<th>origen_dato</th>
</tr>
</thead>
<tbody>
<tr>
<td>915475</td>
<td>2017-11-27</td>
<td>15</td>
<td>RS</td>
<td>0</td>
<td>75.550</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<td>44001</td>
<td>2013-02-22</td>
<td>4</td>
<td>EE</td>
<td>0</td>
<td>39.050</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>1778281</td>
<td>2021-11-04</td>
<td>18</td>
<td>CSUD</td>
<td>0</td>
<td>250.000</td>
<td>1</td>
<td>8</td>
</tr>
<tr>
<td>10955</td>
<td>2011-10-20</td>
<td>12</td>
<td>HU</td>
<td>1</td>
<td>72.322</td>
<td>1</td>
<td>6</td>
</tr>
<tr>
<td>1760435</td>
<td>2021-10-13</td>
<td>22</td>
<td>EE</td>
<td>1</td>
<td>170.540</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>797217</td>
<td>2017-04-17</td>
<td>17</td>
<td>LT</td>
<td>1</td>
<td>28.050</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>1258422</td>
<td>2019-08-28</td>
<td>24</td>
<td>SE3</td>
<td>1</td>
<td>35.640</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>108523</td>
<td>2013-07-21</td>
<td>13</td>
<td>NO5</td>
<td>1</td>
<td>35.110</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>252656</td>
<td>2014-05-26</td>
<td>21</td>
<td>SE1</td>
<td>1</td>
<td>42.290</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>637038</td>
<td>2016-06-18</td>
<td>8</td>
<td>NO2</td>
<td>1</td>
<td>23.360</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>606399</td>
<td>2016-04-21</td>
<td>7</td>
<td>SE2</td>
<td>1</td>
<td>21.890</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>1132360</td>
<td>2019-01-12</td>
<td>10</td>
<td>ES</td>
<td>0</td>
<td>68.000</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<td>570188</td>
<td>2016-02-13</td>
<td>6</td>
<td>NO4</td>
<td>0</td>
<td>18.130</td>
<td>1</td>
<td>2</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
0e5a359e5a70462b866ffd40a10f0b976ed63030be062c8a9eb8c72316ac2146 | data_analysis | [
"Please convert the Input Table from CSV format to HTML format. Please respond only with the table. \n Input Table: plan_strategy,rtpid,title,scope,open_period,funding_millions_yoe,county\nRegional Rail,21-T11-111,Rail | Service Expan,This program include,2021 - 2035,305,Alameda\nLocal Transit,21-T10-093,Other Investments to,This program include,Various,3003,Regional\nLocal Transit,21-T10-077,BRT | Modernization ,This program include,2021 - 2035,300,Various\nRegional Rail,21-T11-098,Ferry | Service Expa,This program include,2021 - 2035,472,Various\nInterchanges and Bot,21-T06-021,Corridor & Interchan,This program include,2036 - 2050,94,Alameda\nFix It First,21-T01-007,Other Investments to,This program include,Various,8051,Regional\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>plan_strategy</th>
<th>rtpid</th>
<th>title</th>
<th>scope</th>
<th>open_period</th>
<th>funding_millions_yoe</th>
<th>county</th>
</tr>
</thead>
<tbody>
<tr>
<td>Regional Rail</td>
<td>21-T11-111</td>
<td>Rail | Service Expan</td>
<td>This program include</td>
<td>2021 - 2035</td>
<td>305</td>
<td>Alameda</td>
</tr>
<tr>
<td>Local Transit</td>
<td>21-T10-093</td>
<td>Other Investments to</td>
<td>This program include</td>
<td>Various</td>
<td>3003</td>
<td>Regional</td>
</tr>
<tr>
<td>Local Transit</td>
<td>21-T10-077</td>
<td>BRT | Modernization</td>
<td>This program include</td>
<td>2021 - 2035</td>
<td>300</td>
<td>Various</td>
</tr>
<tr>
<td>Regional Rail</td>
<td>21-T11-098</td>
<td>Ferry | Service Expa</td>
<td>This program include</td>
<td>2021 - 2035</td>
<td>472</td>
<td>Various</td>
</tr>
<tr>
<td>Interchanges and Bot</td>
<td>21-T06-021</td>
<td>Corridor & Interchan</td>
<td>This program include</td>
<td>2036 - 2050</td>
<td>94</td>
<td>Alameda</td>
</tr>
<tr>
<td>Fix It First</td>
<td>21-T01-007</td>
<td>Other Investments to</td>
<td>This program include</td>
<td>Various</td>
<td>8051</td>
<td>Regional</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
0d102a277bdaf52b40a8dc150408f122828ee63f2a55dd0e58f3c7b51933d345 | data_analysis | [
"Please convert the Input Table from CSV format to JSONL format. Please respond only with the table. \n Input Table: sample_material,id,mfr,tml,category,cvcm,space_code,wvr\nAD300C WOVEN FIBERGL,GSC32923,ARL,0.03,10,0.01,1,0.01\nABLESTIK 761-6 A/B/V,GSFC7598,AAC,0.36,1,0.0,1,0.23\nAPTEK THERM-PAD 1100,GSC26749,APT,0.11,6,0.02,1,0.0\nBLACK NYLON 6/6 CABL,GSC33049,RCO,2.31,9,0.02,1,0.68\nBEN-HAR EX-FLEX 1500,SRI13401,BHM,0.18,0,0.14,1,\nARMSTRONG C-4/ACT W ,GSC12802,APC,1.33,1,0.04,1,0.38\nABLETHERM 8-2 A/B AS,GSC26023,AAC,0.71,1,0.01,1,0.1\nAMS 3195B RED SILICO,GSC21899,FUJ,0.08,15,0.01,1,0.04\n \n Output: \n"
] | {"sample_material":"AD300C WOVEN FIBERGL","id":"GSC32923","mfr":"ARL","tml":0.03,"category":10,"cvcm":0.01,"space_code":1,"wvr":0.01}
{"sample_material":"ABLESTIK 761-6 A\/B\/V","id":"GSFC7598","mfr":"AAC","tml":0.36,"category":1,"cvcm":0.0,"space_code":1,"wvr":0.23}
{"sample_material":"APTEK THERM-PAD 1100","id":"GSC26749","mfr":"APT","tml":0.11,"category":6,"cvcm":0.02,"space_code":1,"wvr":0.0}
{"sample_material":"BLACK NYLON 6\/6 CABL","id":"GSC33049","mfr":"RCO","tml":2.31,"category":9,"cvcm":0.02,"space_code":1,"wvr":0.68}
{"sample_material":"BEN-HAR EX-FLEX 1500","id":"SRI13401","mfr":"BHM","tml":0.18,"category":0,"cvcm":0.14,"space_code":1,"wvr":null}
{"sample_material":"ARMSTRONG C-4\/ACT W ","id":"GSC12802","mfr":"APC","tml":1.33,"category":1,"cvcm":0.04,"space_code":1,"wvr":0.38}
{"sample_material":"ABLETHERM 8-2 A\/B AS","id":"GSC26023","mfr":"AAC","tml":0.71,"category":1,"cvcm":0.01,"space_code":1,"wvr":0.1}
{"sample_material":"AMS 3195B RED SILICO","id":"GSC21899","mfr":"FUJ","tml":0.08,"category":15,"cvcm":0.01,"space_code":1,"wvr":0.04}
| tablereformat | 2024-06-24T00:00:00 | |
0a9d3c9d94cdbd52adf5852ebdf291b4ff8788032d950f62695d1dcc298b54f6 | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"14\":{\"species\":\"GOLDEN TROUT\",\"quantity\":4581},\"13\":{\"species\":\"BASS LARGEMOUTH\",\"quantity\":22765},\"10\":{\"species\":\"SUCKER JUNE\",\"quantity\":80510},\"0\":{\"species\":\"RAINBOW\",\"quantity\":3904196},\"11\":{\"species\":\"SUNFISH BLUEGILL\",\"quantity\":47840},\"15\":{\"species\":\"WOUNDFIN MINNOW\",\"quantity\":3588},\"17\":{\"species\":\"ALL TROUT\",\"quantity\":1650},\"6\":{\"species\":\"BROOK TROUT\",\"quantity\":232058},\"7\":{\"species\":\"BULLHEAD CHANNEL CAT\",\"quantity\":183295},\"18\":{\"species\":\"MUSKIE TIGER\",\"quantity\":590},\"12\":{\"species\":\"CHUB\",\"quantity\":34740},\"5\":{\"species\":\"BROWN TROUT\",\"quantity\":245553},\"4\":{\"species\":\"WIPER\",\"quantity\":386460},\"2\":{\"species\":\"KOKANEE\",\"quantity\":716220}} \n Output: \n"
] | species,quantity
GOLDEN TROUT,4581
BASS LARGEMOUTH,22765
SUCKER JUNE,80510
RAINBOW,3904196
SUNFISH BLUEGILL,47840
WOUNDFIN MINNOW,3588
ALL TROUT,1650
BROOK TROUT,232058
BULLHEAD CHANNEL CAT,183295
MUSKIE TIGER,590
CHUB,34740
BROWN TROUT,245553
WIPER,386460
KOKANEE,716220
| tablereformat | 2024-06-24T00:00:00 | |
07844eb9fb31c8e9cac12e29662d01c221f762a67418b020ff4eae637065539a | data_analysis | [
"Please convert the Input Table from HTML format to JSONL format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>cleanup_site_name</th>\n <th>location</th>\n <th>zipcode</th>\n <th>city</th>\n <th>responsible_section</th>\n <th>:@computed_region_fny7_vc3j</th>\n <th>:@computed_region_x4ys_rtnd</th>\n <th>region</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>ALBRICI PROPERTY</td>\n <td>{'latitude': '45.673</td>\n <td>98665</td>\n <td>VANCOUVER</td>\n <td>Southwest</td>\n <td>3</td>\n <td>2977.0</td>\n <td>Southwest</td>\n </tr>\n <tr>\n <td>Willard Aldridge & A</td>\n <td>{'latitude': '47.418</td>\n <td>98801</td>\n <td>WENATCHEE</td>\n <td>Central</td>\n <td>8</td>\n <td>2956.0</td>\n <td>Central</td>\n </tr>\n <tr>\n <td>Riverside Residentia</td>\n <td>{'latitude': '45.613</td>\n <td>98661</td>\n <td>VANCOUVER</td>\n <td>Southwest</td>\n <td>3</td>\n <td>2977.0</td>\n <td>Southwest</td>\n </tr>\n <tr>\n <td>ABANDON TANK SITE</td>\n <td>{'latitude': '45.636</td>\n <td>98660-2635</td>\n <td>VANCOUVER</td>\n <td>Southwest</td>\n <td>3</td>\n <td>2977.0</td>\n <td>Southwest</td>\n </tr>\n <tr>\n <td>CIRCLE K 76 2708737</td>\n <td>{'latitude': '45.816</td>\n <td>98642</td>\n <td>RIDGEFIELD</td>\n <td>Southwest</td>\n <td>3</td>\n <td>2977.0</td>\n <td>Southwest</td>\n </tr>\n <tr>\n <td>FELKER ORCHARD INC</td>\n <td>{'latitude': '47.898</td>\n <td>98831</td>\n <td>MANSON</td>\n <td>Central</td>\n <td>8</td>\n <td>2956.0</td>\n <td>Central</td>\n </tr>\n <tr>\n <td>Automotive Services</td>\n <td>{'latitude': '45.637</td>\n <td>98660</td>\n <td>VANCOUVER</td>\n <td>Southwest</td>\n <td>3</td>\n <td>2977.0</td>\n <td>Southwest</td>\n </tr>\n <tr>\n <td>MCNARY FARM</td>\n <td>{'latitude': '45.966</td>\n <td>99346-9999</td>\n <td>PLYMOUTH</td>\n <td>Central</td>\n <td>4</td>\n <td>2955.0</td>\n <td>Central</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | {"cleanup_site_name":"ALBRICI PROPERTY","location":"{'latitude': '45.673","zipcode":"98665","city":"VANCOUVER","responsible_section":"Southwest",":@computed_region_fny7_vc3j":3,":@computed_region_x4ys_rtnd":2977.0,"region":"Southwest"}
{"cleanup_site_name":"Willard Aldridge & A","location":"{'latitude': '47.418","zipcode":"98801","city":"WENATCHEE","responsible_section":"Central",":@computed_region_fny7_vc3j":8,":@computed_region_x4ys_rtnd":2956.0,"region":"Central"}
{"cleanup_site_name":"Riverside Residentia","location":"{'latitude': '45.613","zipcode":"98661","city":"VANCOUVER","responsible_section":"Southwest",":@computed_region_fny7_vc3j":3,":@computed_region_x4ys_rtnd":2977.0,"region":"Southwest"}
{"cleanup_site_name":"ABANDON TANK SITE","location":"{'latitude': '45.636","zipcode":"98660-2635","city":"VANCOUVER","responsible_section":"Southwest",":@computed_region_fny7_vc3j":3,":@computed_region_x4ys_rtnd":2977.0,"region":"Southwest"}
{"cleanup_site_name":"CIRCLE K 76 2708737","location":"{'latitude': '45.816","zipcode":"98642","city":"RIDGEFIELD","responsible_section":"Southwest",":@computed_region_fny7_vc3j":3,":@computed_region_x4ys_rtnd":2977.0,"region":"Southwest"}
{"cleanup_site_name":"FELKER ORCHARD INC","location":"{'latitude': '47.898","zipcode":"98831","city":"MANSON","responsible_section":"Central",":@computed_region_fny7_vc3j":8,":@computed_region_x4ys_rtnd":2956.0,"region":"Central"}
{"cleanup_site_name":"Automotive Services ","location":"{'latitude': '45.637","zipcode":"98660","city":"VANCOUVER","responsible_section":"Southwest",":@computed_region_fny7_vc3j":3,":@computed_region_x4ys_rtnd":2977.0,"region":"Southwest"}
{"cleanup_site_name":"MCNARY FARM","location":"{'latitude': '45.966","zipcode":"99346-9999","city":"PLYMOUTH","responsible_section":"Central",":@computed_region_fny7_vc3j":4,":@computed_region_x4ys_rtnd":2955.0,"region":"Central"}
| tablereformat | 2024-06-24T00:00:00 | |
c42ef3e7297ebddb097e9aa4d5527dce29367f617c29bf7144de2633107ead00 | data_analysis | [
"Please convert the Input Table from TSV format to JSON format. Please respond only with the table. \n Input Table: Promoter sequences\nCGGTAGTCCAGCTCGCGCCG\nAAGTCCGGACTCTAGGACTT\nGGATCTCTGTTCTTGGTCGA\nGGCGGGGCATTGAGTGGAAA\nTGATCGCTCCACGAAAGCCA\nTGTGTGGCGATCTGTAAACG\nAAATGTGCAATGCATTTTAT\nAGGCGCCGCGGGCCGGGAGG\nCTTGATCCGGAAAGGAAGGA\nGGCGGTGGGAGGCGGCGCCA\n \n Output: \n"
] | {"5255":{"Promoter sequences":"CGGTAGTCCAGCTCGCGCCG"},"23496":{"Promoter sequences":"AAGTCCGGACTCTAGGACTT"},"12972":{"Promoter sequences":"GGATCTCTGTTCTTGGTCGA"},"9545":{"Promoter sequences":"GGCGGGGCATTGAGTGGAAA"},"1762":{"Promoter sequences":"TGATCGCTCCACGAAAGCCA"},"14765":{"Promoter sequences":"TGTGTGGCGATCTGTAAACG"},"7305":{"Promoter sequences":"AAATGTGCAATGCATTTTAT"},"5247":{"Promoter sequences":"AGGCGCCGCGGGCCGGGAGG"},"29957":{"Promoter sequences":"CTTGATCCGGAAAGGAAGGA"},"8080":{"Promoter sequences":"GGCGGTGGGAGGCGGCGCCA"}} | tablereformat | 2024-06-24T00:00:00 | |
bfe58cf09204ef9dddeb7358323fbab09c078fbc88d022c2387e0eada4470849 | data_analysis | [
"Please convert the Input Table from HTML format to JSON format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>:@computed_region_43wa_7qmu</th>\n <th>location</th>\n <th>case_</th>\n <th>date_of_occurrence</th>\n <th>block</th>\n <th>y_coordinate</th>\n <th>_primary_decsription</th>\n <th>latitude</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>47.0</td>\n <td>{'latitude': '41.707</td>\n <td>JG482108</td>\n <td>2023-10-28T13:00:00.</td>\n <td>103XX S EWING AVE</td>\n <td>1836919</td>\n <td>THEFT</td>\n <td>41.707238</td>\n </tr>\n <tr>\n <td>11.0</td>\n <td>{'latitude': '41.895</td>\n <td>JG496476</td>\n <td>2023-11-08T13:23:00.</td>\n <td>007XX N STATE ST</td>\n <td>1905475</td>\n <td>BATTERY</td>\n <td>41.895983</td>\n </tr>\n <tr>\n <td>15.0</td>\n <td>{'latitude': '41.768</td>\n <td>JG496126</td>\n <td>2023-11-08T01:00:00.</td>\n <td>068XX S TRIPP AVE</td>\n <td>1858947</td>\n <td>MOTOR VEHICLE THEFT</td>\n <td>41.768870</td>\n </tr>\n <tr>\n <td>1.0</td>\n <td>{'latitude': '41.826</td>\n <td>JG496997</td>\n <td>2023-11-08T20:20:00.</td>\n <td>037XX S WOLCOTT AVE</td>\n <td>1879970</td>\n <td>CRIMINAL TRESPASS</td>\n <td>41.826256</td>\n </tr>\n <tr>\n <td>25.0</td>\n <td>{'latitude': '41.932</td>\n <td>JG512901</td>\n <td>2023-11-21T14:00:00.</td>\n <td>007XX W DIVERSEY PKW</td>\n <td>1918825</td>\n <td>THEFT</td>\n <td>41.932739</td>\n </tr>\n <tr>\n <td>13.0</td>\n <td>{'latitude': '41.733</td>\n <td>JG499248</td>\n <td>2023-11-08T20:37:00.</td>\n <td>088XX S JUSTINE ST</td>\n <td>1846162</td>\n <td>DECEPTIVE PRACTICE</td>\n <td>41.733413</td>\n </tr>\n <tr>\n <td>20.0</td>\n <td>{'latitude': '41.946</td>\n <td>JG445052</td>\n <td>2023-09-30T10:01:00.</td>\n <td>029XX W ADDISON ST</td>\n <td>1923785</td>\n <td>THEFT</td>\n <td>41.946653</td>\n </tr>\n <tr>\n <td>33.0</td>\n <td>{'latitude': '41.802</td>\n <td>JG501047</td>\n <td>2023-11-08T15:00:00.</td>\n <td>008XX E HYDE PARK BL</td>\n <td>1871378</td>\n <td>BURGLARY</td>\n <td>41.802270</td>\n </tr>\n <tr>\n <td>33.0</td>\n <td>{'latitude': '41.757</td>\n <td>JG512493</td>\n <td>2023-11-21T03:00:00.</td>\n <td>075XX S KENWOOD AVE</td>\n <td>1855250</td>\n <td>MOTOR VEHICLE THEFT</td>\n <td>41.757924</td>\n </tr>\n <tr>\n <td>44.0</td>\n <td>{'latitude': '41.940</td>\n <td>JG496345</td>\n <td>2023-11-08T11:44:00.</td>\n <td>033XX N NORMANDY AVE</td>\n <td>1921379</td>\n <td>MOTOR VEHICLE THEFT</td>\n <td>41.940523</td>\n </tr>\n <tr>\n <td>30.0</td>\n <td>{'latitude': '41.742</td>\n <td>JG465660</td>\n <td>2023-10-15T20:00:00.</td>\n <td>083XX S KEDZIE AVE</td>\n <td>1849305</td>\n <td>THEFT</td>\n <td>41.742267</td>\n </tr>\n <tr>\n <td>40.0</td>\n <td>{'latitude': '41.935</td>\n <td>JG514854</td>\n <td>2023-11-21T12:00:00.</td>\n <td>029XX N ASHLAND AVE</td>\n <td>1919763</td>\n <td>CRIMINAL DAMAGE</td>\n <td>41.935433</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | {"808":{":@computed_region_43wa_7qmu":47.0,"location":"{'latitude': '41.707","case_":"JG482108","date_of_occurrence":"2023-10-28T13:00:00.","block":"103XX S EWING AVE","y_coordinate":1836919,"_primary_decsription":"THEFT","latitude":41.70723842},"83":{":@computed_region_43wa_7qmu":11.0,"location":"{'latitude': '41.895","case_":"JG496476","date_of_occurrence":"2023-11-08T13:23:00.","block":"007XX N STATE ST","y_coordinate":1905475,"_primary_decsription":"BATTERY","latitude":41.895982869},"643":{":@computed_region_43wa_7qmu":15.0,"location":"{'latitude': '41.768","case_":"JG496126","date_of_occurrence":"2023-11-08T01:00:00.","block":"068XX S TRIPP AVE","y_coordinate":1858947,"_primary_decsription":"MOTOR VEHICLE THEFT","latitude":41.768870183},"895":{":@computed_region_43wa_7qmu":1.0,"location":"{'latitude': '41.826","case_":"JG496997","date_of_occurrence":"2023-11-08T20:20:00.","block":"037XX S WOLCOTT AVE","y_coordinate":1879970,"_primary_decsription":"CRIMINAL TRESPASS","latitude":41.826255505},"536":{":@computed_region_43wa_7qmu":25.0,"location":"{'latitude': '41.932","case_":"JG512901","date_of_occurrence":"2023-11-21T14:00:00.","block":"007XX W DIVERSEY PKW","y_coordinate":1918825,"_primary_decsription":"THEFT","latitude":41.932738985},"874":{":@computed_region_43wa_7qmu":13.0,"location":"{'latitude': '41.733","case_":"JG499248","date_of_occurrence":"2023-11-08T20:37:00.","block":"088XX S JUSTINE ST","y_coordinate":1846162,"_primary_decsription":"DECEPTIVE PRACTICE","latitude":41.733413027},"55":{":@computed_region_43wa_7qmu":20.0,"location":"{'latitude': '41.946","case_":"JG445052","date_of_occurrence":"2023-09-30T10:01:00.","block":"029XX W ADDISON ST","y_coordinate":1923785,"_primary_decsription":"THEFT","latitude":41.946653043},"26":{":@computed_region_43wa_7qmu":33.0,"location":"{'latitude': '41.802","case_":"JG501047","date_of_occurrence":"2023-11-08T15:00:00.","block":"008XX E HYDE PARK BL","y_coordinate":1871378,"_primary_decsription":"BURGLARY","latitude":41.802269632},"990":{":@computed_region_43wa_7qmu":33.0,"location":"{'latitude': '41.757","case_":"JG512493","date_of_occurrence":"2023-11-21T03:00:00.","block":"075XX S KENWOOD AVE","y_coordinate":1855250,"_primary_decsription":"MOTOR VEHICLE THEFT","latitude":41.757924202},"78":{":@computed_region_43wa_7qmu":44.0,"location":"{'latitude': '41.940","case_":"JG496345","date_of_occurrence":"2023-11-08T11:44:00.","block":"033XX N NORMANDY AVE","y_coordinate":1921379,"_primary_decsription":"MOTOR VEHICLE THEFT","latitude":41.940522593},"60":{":@computed_region_43wa_7qmu":30.0,"location":"{'latitude': '41.742","case_":"JG465660","date_of_occurrence":"2023-10-15T20:00:00.","block":"083XX S KEDZIE AVE","y_coordinate":1849305,"_primary_decsription":"THEFT","latitude":41.742267488},"505":{":@computed_region_43wa_7qmu":40.0,"location":"{'latitude': '41.935","case_":"JG514854","date_of_occurrence":"2023-11-21T12:00:00.","block":"029XX N ASHLAND AVE","y_coordinate":1919763,"_primary_decsription":"CRIMINAL DAMAGE","latitude":41.935432921}} | tablereformat | 2024-06-24T00:00:00 | |
b64b2155d2e4e74cbb52dcb6f97298cbf28eef0159973600aecdc80a6c49c8df | data_analysis | [
"Please convert the Input Table from TSV format to JSONL format. Please respond only with the table. \n Input Table: provider_name\taddress1\taddress2\tcity\tcounty\tstate_code\tzip\tnational_drug_code\nHarmon City\t4727 W South Jordan \t\tSouth Jordan\tSalt Lake\tUT\t84009\t00069-1085-30\nKinney Drugs Inc. #9\t34 Route 30 N.\t\tBomoseen\tRutland\tVT\t5732\t00069-1101-20\nStop and Shop Store \t100 MACY STREET\t\tAmesbury\tEssex\tMA\t1913\t00069-1101-20\nSAFEWAY PHARMACY\t2785 Yulupa Ave\t\tSanta Rosa\tSonoma\tCA\t95405\t00069-1101-20\nSAFEWAY PHARMACY\t3383 BASS LAKE RD\t\tEl Dorado Hills\tEl Dorado\tCA\t95762\t00069-1085-30\nOSCO PHARMACY\t17930 WOLF RD\t\tOrland Park\tCook\tIL\t60467\t00069-1101-20\nOUR HOME PHARMACY\t2154 Moores Mill Roa\t\tAuburn\tLee\tAL\t36830\t00006-5055-06\n \n Output: \n"
] | {"provider_name":"Harmon City","address1":"4727 W South Jordan ","address2":null,"city":"South Jordan","county":"Salt Lake","state_code":"UT","zip":84009,"national_drug_code":"00069-1085-30"}
{"provider_name":"Kinney Drugs Inc. #9","address1":"34 Route 30 N.","address2":null,"city":"Bomoseen","county":"Rutland","state_code":"VT","zip":5732,"national_drug_code":"00069-1101-20"}
{"provider_name":"Stop and Shop Store ","address1":"100 MACY STREET","address2":null,"city":"Amesbury","county":"Essex","state_code":"MA","zip":1913,"national_drug_code":"00069-1101-20"}
{"provider_name":"SAFEWAY PHARMACY","address1":"2785 Yulupa Ave","address2":null,"city":"Santa Rosa","county":"Sonoma","state_code":"CA","zip":95405,"national_drug_code":"00069-1101-20"}
{"provider_name":"SAFEWAY PHARMACY","address1":"3383 BASS LAKE RD","address2":null,"city":"El Dorado Hills","county":"El Dorado","state_code":"CA","zip":95762,"national_drug_code":"00069-1085-30"}
{"provider_name":"OSCO PHARMACY","address1":"17930 WOLF RD","address2":null,"city":"Orland Park","county":"Cook","state_code":"IL","zip":60467,"national_drug_code":"00069-1101-20"}
{"provider_name":"OUR HOME PHARMACY","address1":"2154 Moores Mill Roa","address2":null,"city":"Auburn","county":"Lee","state_code":"AL","zip":36830,"national_drug_code":"00006-5055-06"}
| tablereformat | 2024-06-24T00:00:00 | |
132dabf6ac92193bcc1b1cab0080ee5531ab45a959eefc1e5b3cbf57976bcf9a | data_analysis | [
"Please convert the Input Table from JSON format to HTML format. Please respond only with the table. \n Input Table: {\"3264\":{\"ticker\":600196,\"month\":\"2022\\/5\\/31\",\"trend\":1,\"REVS10\":1.0076,\"REVS20\":1.0301,\"REVS5\":1.0144,\"RSTR12\":-0.4453,\"RSTR24\":0.3802},\"3252\":{\"ticker\":600188,\"month\":\"2018\\/5\\/31\",\"trend\":0,\"REVS10\":0.902,\"REVS20\":0.9949,\"REVS5\":0.9876,\"RSTR12\":0.2531,\"RSTR24\":0.4153},\"9930\":{\"ticker\":600893,\"month\":\"2022\\/9\\/30\",\"trend\":1,\"REVS10\":0.8948,\"REVS20\":0.9143,\"REVS5\":0.8975,\"RSTR12\":-0.2299,\"RSTR24\":0.029},\"17332\":{\"ticker\":601992,\"month\":\"2021\\/8\\/31\",\"trend\":1,\"REVS10\":1.0423,\"REVS20\":1.0265,\"REVS5\":1.0037,\"RSTR12\":-0.1715,\"RSTR24\":-0.1578},\"16904\":{\"ticker\":601877,\"month\":\"2022\\/4\\/30\",\"trend\":1,\"REVS10\":0.9761,\"REVS20\":0.7925,\"REVS5\":1.0316,\"RSTR12\":-0.0138,\"RSTR24\":0.345},\"5731\":{\"ticker\":601939,\"month\":\"2020\\/3\\/31\",\"trend\":1,\"REVS10\":0.9829,\"REVS20\":0.9606,\"REVS5\":0.9953,\"RSTR12\":-0.0303,\"RSTR24\":-0.1032},\"10400\":{\"ticker\":601186,\"month\":\"2018\\/1\\/31\",\"trend\":0,\"REVS10\":1.0104,\"REVS20\":1.0262,\"REVS5\":0.9679,\"RSTR12\":-0.0372,\"RSTR24\":0.2458},\"237\":{\"ticker\":69,\"month\":\"2022\\/12\\/31\",\"trend\":1,\"REVS10\":0.9221,\"REVS20\":0.9535,\"REVS5\":0.978,\"RSTR12\":-0.2663,\"RSTR24\":-0.1871},\"11402\":{\"ticker\":601818,\"month\":\"2019\\/2\\/28\",\"trend\":0,\"REVS10\":1.0444,\"REVS20\":1.0874,\"REVS5\":1.0522,\"RSTR12\":0.0137,\"RSTR24\":0.092},\"928\":{\"ticker\":630,\"month\":\"2020\\/2\\/29\",\"trend\":0,\"REVS10\":0.9904,\"REVS20\":0.9321,\"REVS5\":0.9537,\"RSTR12\":-0.1195,\"RSTR24\":-0.2794}} \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>ticker</th>
<th>month</th>
<th>trend</th>
<th>REVS10</th>
<th>REVS20</th>
<th>REVS5</th>
<th>RSTR12</th>
<th>RSTR24</th>
</tr>
</thead>
<tbody>
<tr>
<td>600196</td>
<td>2022/5/31</td>
<td>1</td>
<td>1.0076</td>
<td>1.0301</td>
<td>1.0144</td>
<td>-0.4453</td>
<td>0.3802</td>
</tr>
<tr>
<td>600188</td>
<td>2018/5/31</td>
<td>0</td>
<td>0.9020</td>
<td>0.9949</td>
<td>0.9876</td>
<td>0.2531</td>
<td>0.4153</td>
</tr>
<tr>
<td>600893</td>
<td>2022/9/30</td>
<td>1</td>
<td>0.8948</td>
<td>0.9143</td>
<td>0.8975</td>
<td>-0.2299</td>
<td>0.0290</td>
</tr>
<tr>
<td>601992</td>
<td>2021/8/31</td>
<td>1</td>
<td>1.0423</td>
<td>1.0265</td>
<td>1.0037</td>
<td>-0.1715</td>
<td>-0.1578</td>
</tr>
<tr>
<td>601877</td>
<td>2022/4/30</td>
<td>1</td>
<td>0.9761</td>
<td>0.7925</td>
<td>1.0316</td>
<td>-0.0138</td>
<td>0.3450</td>
</tr>
<tr>
<td>601939</td>
<td>2020/3/31</td>
<td>1</td>
<td>0.9829</td>
<td>0.9606</td>
<td>0.9953</td>
<td>-0.0303</td>
<td>-0.1032</td>
</tr>
<tr>
<td>601186</td>
<td>2018/1/31</td>
<td>0</td>
<td>1.0104</td>
<td>1.0262</td>
<td>0.9679</td>
<td>-0.0372</td>
<td>0.2458</td>
</tr>
<tr>
<td>69</td>
<td>2022/12/31</td>
<td>1</td>
<td>0.9221</td>
<td>0.9535</td>
<td>0.9780</td>
<td>-0.2663</td>
<td>-0.1871</td>
</tr>
<tr>
<td>601818</td>
<td>2019/2/28</td>
<td>0</td>
<td>1.0444</td>
<td>1.0874</td>
<td>1.0522</td>
<td>0.0137</td>
<td>0.0920</td>
</tr>
<tr>
<td>630</td>
<td>2020/2/29</td>
<td>0</td>
<td>0.9904</td>
<td>0.9321</td>
<td>0.9537</td>
<td>-0.1195</td>
<td>-0.2794</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
40af2768cabe32744e3b1efd2552edb077e2539a8f45808852e7d83147a82519 | data_analysis | [
"Please convert the Input Table from CSV format to JSON format. Please respond only with the table. \n Input Table: Areas,freq_1,freq_2,freq_3,freq_4,freq_5,freq_6\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n2.9031241357700805,1.0,0.0239186694370569,0.0817705502454882,0.0184121130082733,0.0232967707875751,0.0205981843912313\n5.935001077590961,1.0,0.1952383930229297,0.1581730415076839,0.0913619230392722,0.0831959065680687,0.055211315504823\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n43.4120750441313,0.2285180552180082,0.0861248899911221,0.1400905334130899,0.0902471037071408,0.1635016246832906,0.1911773303133527\n \n Output: \n"
] | {"42245":{"Areas":0.0,"freq_1":0.0,"freq_2":0.0,"freq_3":0.0,"freq_4":0.0,"freq_5":0.0,"freq_6":0.0},"11487":{"Areas":2.9031241358,"freq_1":1.0,"freq_2":0.0239186694,"freq_3":0.0817705502,"freq_4":0.018412113,"freq_5":0.0232967708,"freq_6":0.0205981844},"7724":{"Areas":5.9350010776,"freq_1":1.0,"freq_2":0.195238393,"freq_3":0.1581730415,"freq_4":0.091361923,"freq_5":0.0831959066,"freq_6":0.0552113155},"12332":{"Areas":0.0,"freq_1":0.0,"freq_2":0.0,"freq_3":0.0,"freq_4":0.0,"freq_5":0.0,"freq_6":0.0},"63812":{"Areas":0.0,"freq_1":0.0,"freq_2":0.0,"freq_3":0.0,"freq_4":0.0,"freq_5":0.0,"freq_6":0.0},"73689":{"Areas":43.4120750441,"freq_1":0.2285180552,"freq_2":0.08612489,"freq_3":0.1400905334,"freq_4":0.0902471037,"freq_5":0.1635016247,"freq_6":0.1911773303}} | tablereformat | 2024-06-24T00:00:00 | |
ed3a1cf09c7eefe66d4775384c633a1bbc48f09a7d2257028362479f057d7e3e | data_analysis | [
"Please convert the Input Table from JSONL format to HTML format. Please respond only with the table. \n Input Table: {\"Promoter sequences\":\"GCTTCTTGGAGGAGGATGAG\"}\n{\"Promoter sequences\":\"GAAGTGGGCACAGGTGAGGG\"}\n{\"Promoter sequences\":\"ATGGCTCTCCACCCTTCACC\"}\n{\"Promoter sequences\":\"GAAGACACATCCTAACCTAC\"}\n{\"Promoter sequences\":\"ACCCCTCCCAGCCCTCTGCT\"}\n{\"Promoter sequences\":\"GACAATAAATTGGGGAAAAA\"}\n{\"Promoter sequences\":\"TAGCAACCTGTTCCTTGCAG\"}\n{\"Promoter sequences\":\"GAGATAAAAGTGGGGCAAGA\"}\n{\"Promoter sequences\":\"CCCCTGGACTCTGCCCCCAG\"}\n{\"Promoter sequences\":\"CCTCCCGGCTCCCTGCCTAG\"}\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>Promoter sequences</th>
</tr>
</thead>
<tbody>
<tr>
<td>GCTTCTTGGAGGAGGATGAG</td>
</tr>
<tr>
<td>GAAGTGGGCACAGGTGAGGG</td>
</tr>
<tr>
<td>ATGGCTCTCCACCCTTCACC</td>
</tr>
<tr>
<td>GAAGACACATCCTAACCTAC</td>
</tr>
<tr>
<td>ACCCCTCCCAGCCCTCTGCT</td>
</tr>
<tr>
<td>GACAATAAATTGGGGAAAAA</td>
</tr>
<tr>
<td>TAGCAACCTGTTCCTTGCAG</td>
</tr>
<tr>
<td>GAGATAAAAGTGGGGCAAGA</td>
</tr>
<tr>
<td>CCCCTGGACTCTGCCCCCAG</td>
</tr>
<tr>
<td>CCTCCCGGCTCCCTGCCTAG</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
0a03666dc72cf14a5cf569f517483315380edb796ac0394c3c204ced2e4a7428 | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"209\":{\"id\":1940,\"project_code\":\"102-GY-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-27030\",\"asn_dn\":\"ASN-2638\",\"country\":\"Guyana\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"786\":{\"id\":7975,\"project_code\":\"114-UG-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-176\",\"asn_dn\":\"ASN-129\",\"country\":\"Uganda\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"602\":{\"id\":5976,\"project_code\":\"117-ET-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-28720\",\"asn_dn\":\"ASN-2579\",\"country\":\"Ethiopia\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"394\":{\"id\":3771,\"project_code\":\"116-ZA-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-41585\",\"asn_dn\":\"ASN-4386\",\"country\":\"South Africa\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"57\":{\"id\":532,\"project_code\":\"116-ZA-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-23500\",\"asn_dn\":\"ASN-2293\",\"country\":\"South Africa\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"657\":{\"id\":6563,\"project_code\":\"116-ZA-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-47051\",\"asn_dn\":\"ASN-4837\",\"country\":\"South Africa\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"867\":{\"id\":9032,\"project_code\":\"116-ZA-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-41040\",\"asn_dn\":\"ASN-3623\",\"country\":\"South Africa\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"457\":{\"id\":4457,\"project_code\":\"108-VN-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-23320\",\"asn_dn\":\"ASN-2275\",\"country\":\"Vietnam\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"637\":{\"id\":6415,\"project_code\":\"116-ZA-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-41582\",\"asn_dn\":\"ASN-4304\",\"country\":\"South Africa\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"},\"520\":{\"id\":5195,\"project_code\":\"116-ZA-T01\",\"pq\":\"Pre-PQ Process\",\"po_so\":\"SCMS-47051\",\"asn_dn\":\"ASN-4836\",\"country\":\"South Africa\",\"managed_by\":\"PMO - US\",\"fulfill_via\":\"Direct Drop\"}} \n Output: \n"
] | id,project_code,pq,po_so,asn_dn,country,managed_by,fulfill_via
1940,102-GY-T01,Pre-PQ Process,SCMS-27030,ASN-2638,Guyana,PMO - US,Direct Drop
7975,114-UG-T01,Pre-PQ Process,SCMS-176,ASN-129,Uganda,PMO - US,Direct Drop
5976,117-ET-T01,Pre-PQ Process,SCMS-28720,ASN-2579,Ethiopia,PMO - US,Direct Drop
3771,116-ZA-T01,Pre-PQ Process,SCMS-41585,ASN-4386,South Africa,PMO - US,Direct Drop
532,116-ZA-T01,Pre-PQ Process,SCMS-23500,ASN-2293,South Africa,PMO - US,Direct Drop
6563,116-ZA-T01,Pre-PQ Process,SCMS-47051,ASN-4837,South Africa,PMO - US,Direct Drop
9032,116-ZA-T01,Pre-PQ Process,SCMS-41040,ASN-3623,South Africa,PMO - US,Direct Drop
4457,108-VN-T01,Pre-PQ Process,SCMS-23320,ASN-2275,Vietnam,PMO - US,Direct Drop
6415,116-ZA-T01,Pre-PQ Process,SCMS-41582,ASN-4304,South Africa,PMO - US,Direct Drop
5195,116-ZA-T01,Pre-PQ Process,SCMS-47051,ASN-4836,South Africa,PMO - US,Direct Drop
| tablereformat | 2024-06-24T00:00:00 | |
6a71a2fd132bae45c6ef2fc93d0bfcf3d4f71025db07ec88fed08ff83b4eca45 | data_analysis | [
"Please convert the Input Table from CSV format to JSON format. Please respond only with the table. \n Input Table: age,job,marital,education,default,balance,housing,loan\n40,management,married,secondary,no,4025.0,yes,no\n50,services,married,secondary,no,1545.0,no,no\n59,management,married,tertiary,no,138.0,yes,yes\n40,services,married,secondary,no,10406.0,no,no\n25,admin.,single,secondary,no,105.0,no,yes\n52,blue-collar,married,primary,no,2977.0,no,no\n44,blue-collar,married,secondary,no,788.0,yes,no\n51,blue-collar,divorced,secondary,no,1069.0,yes,no\n46,blue-collar,single,secondary,no,338.0,yes,no\n \n Output: \n"
] | {"27436":{"age":40,"job":"management","marital":"married","education":"secondary","default":"no","balance":4025.0,"housing":"yes","loan":"no"},"23553":{"age":50,"job":"services","marital":"married","education":"secondary","default":"no","balance":1545.0,"housing":"no","loan":"no"},"1191":{"age":59,"job":"management","marital":"married","education":"tertiary","default":"no","balance":138.0,"housing":"yes","loan":"yes"},"26990":{"age":40,"job":"services","marital":"married","education":"secondary","default":"no","balance":10406.0,"housing":"no","loan":"no"},"15793":{"age":25,"job":"admin.","marital":"single","education":"secondary","default":"no","balance":105.0,"housing":"no","loan":"yes"},"21419":{"age":52,"job":"blue-collar","marital":"married","education":"primary","default":"no","balance":2977.0,"housing":"no","loan":"no"},"32518":{"age":44,"job":"blue-collar","marital":"married","education":"secondary","default":"no","balance":788.0,"housing":"yes","loan":"no"},"7902":{"age":51,"job":"blue-collar","marital":"divorced","education":"secondary","default":"no","balance":1069.0,"housing":"yes","loan":"no"},"33274":{"age":46,"job":"blue-collar","marital":"single","education":"secondary","default":"no","balance":338.0,"housing":"yes","loan":"no"}} | tablereformat | 2024-06-24T00:00:00 | |
c55626b8561ca43f0fdf11e24b2083c4d3180a83c87ea6171a159a1e82f1da54 | data_analysis | [
"Please convert the Input Table from CSV format to HTML format. Please respond only with the table. \n Input Table: cedula,primernombre,primerapellido,segundoapellido,segundonombre\n20810705,LILIA,GOMEZ,DE VILLABON,\n30971467,MARIA,BUITRAGO,BARBOSA,LUDIVIA\n21200345,MARLENE,GONZALEZ,MOLINA,\n4399727,URIEL,RUEDA,CANO,DE JESUS\n30003620,MARIA,ALVAREZ,.,ADELA\n21203437,DENIS,RODRIGUEZ,BERNAL,\n3280381,JOSE,GUTIERREZ,SANCHEZ,CUSTODIO\n \n Output: \n"
] | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>cedula</th>
<th>primernombre</th>
<th>primerapellido</th>
<th>segundoapellido</th>
<th>segundonombre</th>
</tr>
</thead>
<tbody>
<tr>
<td>20810705</td>
<td>LILIA</td>
<td>GOMEZ</td>
<td>DE VILLABON</td>
<td>NaN</td>
</tr>
<tr>
<td>30971467</td>
<td>MARIA</td>
<td>BUITRAGO</td>
<td>BARBOSA</td>
<td>LUDIVIA</td>
</tr>
<tr>
<td>21200345</td>
<td>MARLENE</td>
<td>GONZALEZ</td>
<td>MOLINA</td>
<td>NaN</td>
</tr>
<tr>
<td>4399727</td>
<td>URIEL</td>
<td>RUEDA</td>
<td>CANO</td>
<td>DE JESUS</td>
</tr>
<tr>
<td>30003620</td>
<td>MARIA</td>
<td>ALVAREZ</td>
<td>.</td>
<td>ADELA</td>
</tr>
<tr>
<td>21203437</td>
<td>DENIS</td>
<td>RODRIGUEZ</td>
<td>BERNAL</td>
<td>NaN</td>
</tr>
<tr>
<td>3280381</td>
<td>JOSE</td>
<td>GUTIERREZ</td>
<td>SANCHEZ</td>
<td>CUSTODIO</td>
</tr>
</tbody>
</table> | tablereformat | 2024-06-24T00:00:00 | |
ed588c8250de9be2b31be0bc4c7820f3fa97c6084f822bce03d324f20d4c228d | data_analysis | [
"Please convert the Input Table from HTML format to JSONL format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>id</th>\n <th>report_number</th>\n <th>origin</th>\n <th>filer_id</th>\n <th>filer_name</th>\n <th>type</th>\n <th>funding_source_id</th>\n <th>funding_source</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>107243-26595</td>\n <td>107243</td>\n <td>FE</td>\n <td>26595</td>\n <td>STEVEN SCHULTZ</td>\n <td>Lobbyist</td>\n <td>26595</td>\n <td>STEVEN SCHULTZ (Self</td>\n </tr>\n <tr>\n <td>107333-18369</td>\n <td>107333</td>\n <td>FE</td>\n <td>17432</td>\n <td>CAPITOL STRATEGIES C</td>\n <td>Employer</td>\n <td>18369</td>\n <td>SPOKANE TRANSIT AUTH</td>\n </tr>\n <tr>\n <td>107287-19110</td>\n <td>107287</td>\n <td>FE</td>\n <td>17723</td>\n <td>THOMAS W KWIECIAK</td>\n <td>Employer</td>\n <td>19110</td>\n <td>NATL RIFLE ASSN OF A</td>\n </tr>\n <tr>\n <td>107220-18281</td>\n <td>107220</td>\n <td>FE</td>\n <td>17397</td>\n <td>PATRICK S BOSS (Casc</td>\n <td>Employer</td>\n <td>18281</td>\n <td>PORT OF GRANT CO DIS</td>\n </tr>\n <tr>\n <td>107377-17576</td>\n <td>107377</td>\n <td>FE</td>\n <td>17576</td>\n <td>ADAM GLICKMAN</td>\n <td>Lobbyist</td>\n <td>17576</td>\n <td>ADAM GLICKMAN (Self)</td>\n </tr>\n <tr>\n <td>107242-95286</td>\n <td>107242</td>\n <td>FE</td>\n <td>95285</td>\n <td>Adam Zarrin</td>\n <td>Employer</td>\n <td>95286</td>\n <td>LEUKEMIA & LYMPHOMA</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | {"id":"107243-26595","report_number":107243,"origin":"FE","filer_id":26595,"filer_name":"STEVEN SCHULTZ","type":"Lobbyist","funding_source_id":26595,"funding_source":"STEVEN SCHULTZ (Self"}
{"id":"107333-18369","report_number":107333,"origin":"FE","filer_id":17432,"filer_name":"CAPITOL STRATEGIES C","type":"Employer","funding_source_id":18369,"funding_source":"SPOKANE TRANSIT AUTH"}
{"id":"107287-19110","report_number":107287,"origin":"FE","filer_id":17723,"filer_name":"THOMAS W KWIECIAK","type":"Employer","funding_source_id":19110,"funding_source":"NATL RIFLE ASSN OF A"}
{"id":"107220-18281","report_number":107220,"origin":"FE","filer_id":17397,"filer_name":"PATRICK S BOSS (Casc","type":"Employer","funding_source_id":18281,"funding_source":"PORT OF GRANT CO DIS"}
{"id":"107377-17576","report_number":107377,"origin":"FE","filer_id":17576,"filer_name":"ADAM GLICKMAN","type":"Lobbyist","funding_source_id":17576,"funding_source":"ADAM GLICKMAN (Self)"}
{"id":"107242-95286","report_number":107242,"origin":"FE","filer_id":95285,"filer_name":"Adam Zarrin","type":"Employer","funding_source_id":95286,"funding_source":"LEUKEMIA & LYMPHOMA "}
| tablereformat | 2024-06-24T00:00:00 | |
6204f00c8a38e299225434e2218dc1fbf65eb3040ed083a97c048e4f3b7dc2c8 | data_analysis | [
"Please convert the Input Table from TSV format to JSONL format. Please respond only with the table. \n Input Table: id\tSex\tLength\tDiameter\tHeight\tWhole_weight\tShucked_weight\tViscera_weight\n648\tI\t0.46\t0.35\t0.12\t0.4885\t0.193\t0.105\n1277\tI\t0.48\t0.365\t0.1\t0.461\t0.2205\t0.0835\n2428\tF\t0.53\t0.385\t0.125\t0.6695\t0.289\t0.151\n1749\tM\t0.71\t0.575\t0.215\t2.009\t0.9895\t0.4475\n4153\tI\t0.43\t0.315\t0.115\t0.384\t0.1885\t0.0715\n705\tM\t0.415\t0.325\t0.14\t0.417\t0.1535\t0.1015\n3423\tF\t0.63\t0.475\t0.15\t1.172\t0.536\t0.254\n \n Output: \n"
] | {"id":648,"Sex":"I","Length":0.46,"Diameter":0.35,"Height":0.12,"Whole_weight":0.4885,"Shucked_weight":0.193,"Viscera_weight":0.105}
{"id":1277,"Sex":"I","Length":0.48,"Diameter":0.365,"Height":0.1,"Whole_weight":0.461,"Shucked_weight":0.2205,"Viscera_weight":0.0835}
{"id":2428,"Sex":"F","Length":0.53,"Diameter":0.385,"Height":0.125,"Whole_weight":0.6695,"Shucked_weight":0.289,"Viscera_weight":0.151}
{"id":1749,"Sex":"M","Length":0.71,"Diameter":0.575,"Height":0.215,"Whole_weight":2.009,"Shucked_weight":0.9895,"Viscera_weight":0.4475}
{"id":4153,"Sex":"I","Length":0.43,"Diameter":0.315,"Height":0.115,"Whole_weight":0.384,"Shucked_weight":0.1885,"Viscera_weight":0.0715}
{"id":705,"Sex":"M","Length":0.415,"Diameter":0.325,"Height":0.14,"Whole_weight":0.417,"Shucked_weight":0.1535,"Viscera_weight":0.1015}
{"id":3423,"Sex":"F","Length":0.63,"Diameter":0.475,"Height":0.15,"Whole_weight":1.172,"Shucked_weight":0.536,"Viscera_weight":0.254}
| tablereformat | 2024-06-24T00:00:00 | |
4810de734ddf549ae44d69fe3717e2ad95593f88a0f7d72211f46cbdd22ad513 | data_analysis | [
"Please convert the Input Table from JSON format to CSV format. Please respond only with the table. \n Input Table: {\"99\":{\"plan_strategy\":\"Regional Rail\",\"rtpid\":\"21-T11-100\",\"title\":\"Hovercraft | Service\",\"scope\":\"This program include\",\"open_period\":\"2021 - 2035\",\"funding_millions_yoe\":165,\"county\":\"Various\"},\"29\":{\"plan_strategy\":\"Interchanges and Bot\",\"rtpid\":\"21-T06-029\",\"title\":\"Corridor & Interchan\",\"scope\":\"This program include\",\"open_period\":\"2021 - 2035\",\"funding_millions_yoe\":239,\"county\":\"Sonoma\"},\"39\":{\"plan_strategy\":\"Interchanges and Bot\",\"rtpid\":\"21-T06-040\",\"title\":\"Corridor & Interchan\",\"scope\":\"This program include\",\"open_period\":\"2036 - 2050\",\"funding_millions_yoe\":86,\"county\":\"Santa Clara\"},\"44\":{\"plan_strategy\":\"Interchanges and Bot\",\"rtpid\":\"21-T06-045\",\"title\":\"Corridor & Interchan\",\"scope\":\"This program include\",\"open_period\":\"2036 - 2050\",\"funding_millions_yoe\":91,\"county\":\"Contra Costa\"},\"115\":{\"plan_strategy\":\"Regional Rail\",\"rtpid\":\"21-T11-201\",\"title\":\"Rail | New Station |\",\"scope\":\"This program include\",\"open_period\":\"2021 - 2035\",\"funding_millions_yoe\":14,\"county\":\"Sonoma\"},\"16\":{\"plan_strategy\":\"Interchanges and Bot\",\"rtpid\":\"21-T06-036\",\"title\":\"Corridor & Interchan\",\"scope\":\"This program include\",\"open_period\":\"2021 - 2035\",\"funding_millions_yoe\":23,\"county\":\"Solano\"}} \n Output: \n"
] | plan_strategy,rtpid,title,scope,open_period,funding_millions_yoe,county
Regional Rail,21-T11-100,Hovercraft | Service,This program include,2021 - 2035,165,Various
Interchanges and Bot,21-T06-029,Corridor & Interchan,This program include,2021 - 2035,239,Sonoma
Interchanges and Bot,21-T06-040,Corridor & Interchan,This program include,2036 - 2050,86,Santa Clara
Interchanges and Bot,21-T06-045,Corridor & Interchan,This program include,2036 - 2050,91,Contra Costa
Regional Rail,21-T11-201,Rail | New Station |,This program include,2021 - 2035,14,Sonoma
Interchanges and Bot,21-T06-036,Corridor & Interchan,This program include,2021 - 2035,23,Solano
| tablereformat | 2024-06-24T00:00:00 | |
77765399a07884782f5a539ccb9e8820f5c15a090a666f59b21f804706ecadc9 | data_analysis | [
"Please convert the Input Table from JSONL format to CSV format. Please respond only with the table. \n Input Table: {\"Unnamed: 0\":84,\"work_year\":2021,\"experience_level\":\"EX\",\"employment_type\":\"FT\",\"job_title\":\"Director of Data Sci\",\"salary\":130000,\"salary_currency\":\"EUR\",\"salary_in_usd\":153667}\n{\"Unnamed: 0\":365,\"work_year\":2022,\"experience_level\":\"SE\",\"employment_type\":\"FT\",\"job_title\":\"Data Scientist\",\"salary\":138600,\"salary_currency\":\"USD\",\"salary_in_usd\":138600}\n{\"Unnamed: 0\":496,\"work_year\":2022,\"experience_level\":\"EN\",\"employment_type\":\"FT\",\"job_title\":\"Data Engineer\",\"salary\":52800,\"salary_currency\":\"EUR\",\"salary_in_usd\":58035}\n{\"Unnamed: 0\":40,\"work_year\":2020,\"experience_level\":\"MI\",\"employment_type\":\"FT\",\"job_title\":\"Data Scientist\",\"salary\":45760,\"salary_currency\":\"USD\",\"salary_in_usd\":45760}\n{\"Unnamed: 0\":94,\"work_year\":2021,\"experience_level\":\"EN\",\"employment_type\":\"FT\",\"job_title\":\"Data Scientist\",\"salary\":2200000,\"salary_currency\":\"INR\",\"salary_in_usd\":29751}\n{\"Unnamed: 0\":311,\"work_year\":2022,\"experience_level\":\"MI\",\"employment_type\":\"FT\",\"job_title\":\"Data Scientist\",\"salary\":50000,\"salary_currency\":\"GBP\",\"salary_in_usd\":65438}\n{\"Unnamed: 0\":292,\"work_year\":2022,\"experience_level\":\"MI\",\"employment_type\":\"FT\",\"job_title\":\"Data Scientist\",\"salary\":130000,\"salary_currency\":\"USD\",\"salary_in_usd\":130000}\n{\"Unnamed: 0\":560,\"work_year\":2022,\"experience_level\":\"SE\",\"employment_type\":\"FT\",\"job_title\":\"Analytics Engineer\",\"salary\":205300,\"salary_currency\":\"USD\",\"salary_in_usd\":205300}\n \n Output: \n"
] | Unnamed: 0,work_year,experience_level,employment_type,job_title,salary,salary_currency,salary_in_usd
84,2021,EX,FT,Director of Data Sci,130000,EUR,153667
365,2022,SE,FT,Data Scientist,138600,USD,138600
496,2022,EN,FT,Data Engineer,52800,EUR,58035
40,2020,MI,FT,Data Scientist,45760,USD,45760
94,2021,EN,FT,Data Scientist,2200000,INR,29751
311,2022,MI,FT,Data Scientist,50000,GBP,65438
292,2022,MI,FT,Data Scientist,130000,USD,130000
560,2022,SE,FT,Analytics Engineer,205300,USD,205300
| tablereformat | 2024-06-24T00:00:00 | |
b78c258e2cfd2954eb6ff290f39427d6270c69d57cc36e8a1c31839de39c885a | data_analysis | [
"Please convert the Input Table from HTML format to TSV format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>active</th>\n <th>vehicle_license_number</th>\n <th>name</th>\n <th>license_type</th>\n <th>expiration_date</th>\n <th>permit_license_number</th>\n <th>dmv_license_plate_number</th>\n <th>vehicle_vin_number</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>YES</td>\n <td>5428471</td>\n <td>AUGUSTINE,INDERYAS</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2026-04-03T00:00:00.</td>\n <td>AD901</td>\n <td>T797471C</td>\n <td>JTNBE46K473030973</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>6035321</td>\n <td>RODRIGUEZ,JULIAN</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2025-06-30T00:00:00.</td>\n <td>AB172</td>\n <td>T119199C</td>\n <td>5TDADAB54RS000293</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>6037476</td>\n <td>RODRIGUEZDIAZ,J,L</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2025-06-30T00:00:00.</td>\n <td>AD970</td>\n <td>T120985C</td>\n <td>1HGCY2F58PA051918</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>6001467</td>\n <td>AMIN,MOHAMMED,N</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2024-07-29T00:00:00.</td>\n <td>AA492</td>\n <td>T106724C</td>\n <td>1FMCU4K32CKA37538</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>6038054</td>\n <td>TURAKULOV,MEHROJ</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2025-06-30T00:00:00.</td>\n <td>AD935</td>\n <td>T119842C</td>\n <td>KNAGM4AD5G5092454</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>5512440</td>\n <td>FAYYAZ,MUHAMMAD</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2025-10-09T00:00:00.</td>\n <td>AD646</td>\n <td>T641192C</td>\n <td>JTMRJREV7HD090829</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>5608152</td>\n <td>SINGH,RAM</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2025-04-16T00:00:00.</td>\n <td>AB301</td>\n <td>T669464C</td>\n <td>4T1BD1FK1EU114595</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>6064674</td>\n <td>SINGH,ARJUN</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2026-01-09T00:00:00.</td>\n <td>AD748</td>\n <td>T118272C</td>\n <td>4T1BK1EB5DU013873</td>\n </tr>\n <tr>\n <td>YES</td>\n <td>6034034</td>\n <td>ALMONTELORA,EZEQUIEL</td>\n <td>FOR HIRE VEHICLE</td>\n <td>2025-06-30T00:00:00.</td>\n <td>AA046</td>\n <td>T119200C</td>\n <td>KNDCB3LC4H5049067</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | active vehicle_license_number name license_type expiration_date permit_license_number dmv_license_plate_number vehicle_vin_number
YES 5428471 AUGUSTINE,INDERYAS FOR HIRE VEHICLE 2026-04-03T00:00:00. AD901 T797471C JTNBE46K473030973
YES 6035321 RODRIGUEZ,JULIAN FOR HIRE VEHICLE 2025-06-30T00:00:00. AB172 T119199C 5TDADAB54RS000293
YES 6037476 RODRIGUEZDIAZ,J,L FOR HIRE VEHICLE 2025-06-30T00:00:00. AD970 T120985C 1HGCY2F58PA051918
YES 6001467 AMIN,MOHAMMED,N FOR HIRE VEHICLE 2024-07-29T00:00:00. AA492 T106724C 1FMCU4K32CKA37538
YES 6038054 TURAKULOV,MEHROJ FOR HIRE VEHICLE 2025-06-30T00:00:00. AD935 T119842C KNAGM4AD5G5092454
YES 5512440 FAYYAZ,MUHAMMAD FOR HIRE VEHICLE 2025-10-09T00:00:00. AD646 T641192C JTMRJREV7HD090829
YES 5608152 SINGH,RAM FOR HIRE VEHICLE 2025-04-16T00:00:00. AB301 T669464C 4T1BD1FK1EU114595
YES 6064674 SINGH,ARJUN FOR HIRE VEHICLE 2026-01-09T00:00:00. AD748 T118272C 4T1BK1EB5DU013873
YES 6034034 ALMONTELORA,EZEQUIEL FOR HIRE VEHICLE 2025-06-30T00:00:00. AA046 T119200C KNDCB3LC4H5049067
| tablereformat | 2024-06-24T00:00:00 | |
26fbcb603a637ccd27d65387509e548e532334c5895fd56d7a9d531cc1b125fb | data_analysis | [
"Please convert the Input Table from HTML format to CSV format. Please respond only with the table. \n Input Table: <table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>drugName</th>\n <th>url</th>\n <th>description</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Hydrochlorothiazide</td>\n <td>https://www.drugs.co</td>\n <td>hydrochlorothiazide</td>\n </tr>\n <tr>\n <td>Geodon</td>\n <td>https://www.drugs.co</td>\n <td>geodon (ziprasidone)</td>\n </tr>\n <tr>\n <td>Novolin N</td>\n <td>https://www.drugs.co</td>\n <td>insulin is a hormone</td>\n </tr>\n <tr>\n <td>Prevacid</td>\n <td>https://www.drugs.co</td>\n <td>prevacid (lansoprazo</td>\n </tr>\n <tr>\n <td>Yupelri</td>\n <td>https://www.drugs.co</td>\n <td>yupelri (revefenacin</td>\n </tr>\n <tr>\n <td>Vimovo</td>\n <td>https://www.drugs.co</td>\n <td>vimovo contains a co</td>\n </tr>\n <tr>\n <td>Wellbutrin SR</td>\n <td>https://www.drugs.co</td>\n <td>wellbutrin sr is an</td>\n </tr>\n <tr>\n <td>Daliresp</td>\n <td>https://www.drugs.co</td>\n <td>daliresp (roflumilas</td>\n </tr>\n </tbody>\n</table> \n Output: \n"
] | drugName,url,description
Hydrochlorothiazide ,https://www.drugs.co,hydrochlorothiazide
Geodon,https://www.drugs.co,geodon (ziprasidone)
Novolin N,https://www.drugs.co,insulin is a hormone
Prevacid,https://www.drugs.co,prevacid (lansoprazo
Yupelri,https://www.drugs.co,yupelri (revefenacin
Vimovo,https://www.drugs.co,vimovo contains a co
Wellbutrin SR,https://www.drugs.co,wellbutrin sr is an
Daliresp,https://www.drugs.co,daliresp (roflumilas
| tablereformat | 2024-06-24T00:00:00 | |
7c99777b2f4c5a9c88cc1f04d0345ac7b1e9dea2c7ac74b3fbf683e59bbf38f4 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: Areas,freq_1,freq_2,freq_3,freq_4,freq_5,freq_6\\n11.46297225301157,0.750090555540225,1.0,0.0602354836548662,0.1838822583531753,0.0853333802592762,0.046024792724136\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n11.239817102920368,1.0,0.3186042752037932,0.1344797605815425,0.0786915134946252,0.0291092349742216,0.0462109552890391\\n14.225572256061094,0.3560941668350856,0.286557320911586,0.371644358207699,0.4729787680332255,0.3101131011117374,0.7074703432609266\\n9.865012036104266,1.0,0.2397341537732411,0.0729735395233181,0.0223524205245781,0.0287815331852048,0.0101898116116331\\n2.0757099662356238,0.9347092851067056,0.9400697206071236,1.0,0.9287615956012136,0.7355906053486795,0.5181680119786722\\n2.9067636626783804,1.0,0.1447597464229583,0.0480965667856174,0.0205783381644516,0.0171364415449829,0.0115787651851685\\n14.339409909977467,1.0,0.4250899142632741,0.1643871449873558,0.1020228497986892,0.041877682820639,0.0281545945678505\\n5.896129616650832,1.0,0.5067710275772761,0.1627128555154097,0.121165802190262,0.0619750338712106,0.0394802988626596\\n5.015217739188724,1.0,0.2137852227488661,0.0986187661484963,0.0384073657935623,0.022448891250256,0.0185346492464125\\n5.093743471481292,0.1329717423185582,0.1273505058545859,0.0590673294823516,0.0315282671087803,0.1411126511020878,0.2762081522183985\\n9.575908391909108,0.0937816299058494,0.0677546139020085,0.040494588488153,0.1130365447476912,0.0458418554377786,0.3351258627571026\\n12.43899843516728,1.0,0.2174001466603657,0.1215194187495121,0.0473273252051433,0.0278033476514428,0.021856868652518\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n \\n CSV Table B: 7raemdfhCtY,+xshpVlCqD4,QjH4XnyfWuI,vuFoAPLYFL8,Yz4/hhaFlUQ,NYLj0y6YLFA\\nNo,0.2710952149558612,6040452,0.1241531998855021,27.356016993528257,0\\nNo,0.0,6038888,0.0,0.0,0\\nNo,0.0,5941356,0.0,0.0,0\\nNo,0.0,6040452,0.0,0.0,0\\nNo,0.2134908745410948,5941356,0.057705281989179,21.995223196929345,0\\nSi,0.3283789206311447,5510456,0.100397995844769,14.12757778606885,0\\nSi,0.1982944056887898,6040452,0.0349326900415004,3.8333505006554778,0\\nSi,0.0,5510456,0.0,0.0,0\\nNo,0.0,6038888,0.0,0.0,0\\nNo,0.0,5026787,0.0,0.0,0\\nSi,0.2504480400031245,6040452,0.0446140544381391,6.936822133643822,0\\nNo,0.0,5510456,0.0,0.0,0\\nSi,0.2556343349867265,6038888,0.0652165586167969,29.10991285009921,0\\nSi,0.265151197362279,5941356,0.0603377249806183,15.422577029258743,0\\nNo,0.0,5510456,0.0,0.0,0\\n \\n Output: \\n"
] | {"freq_2": "+xshpVlCqD4", "Areas": "Yz4/hhaFlUQ", "freq_4": "vuFoAPLYFL8"} | tablejoin | 2024-06-24T00:00:00 | |
7d3b232a7df622492efaa9230b09fe5a5e45c12d35ed346a99b6ec201497a1e3 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: date,bundesland,gemeindeschluessel,anzahl_standorte,anzahl_meldebereiche,faelle_covid_aktuell,faelle_covid_aktuell_invasiv_beatmet,betten_frei,betten_belegt,betten_belegt_nur_erwachsen\\n2020-11-25,9,9762,1,1,7,3,4,14,14\\n2020-08-23,6,6440,5,5,1,0,20,76,76\\n2021-11-01,1,1056,2,2,1,1,3,34,34\\n2020-07-05,6,6633,3,3,0,0,7,28,28\\n2020-05-28,9,9678,2,2,1,0,2,6,6\\n2021-08-20,5,5124,5,7,9,4,18,131,122\\n2021-10-28,9,9576,1,1,0,0,0,5,5\\n2021-01-30,9,9672,4,4,3,2,3,37,37\\n2021-03-02,3,3101,5,7,8,4,19,113,99\\n2021-08-31,5,5762,5,6,2,1,9,26,24\\n2020-11-20,5,5911,6,8,18,12,33,166,153\\n2020-09-07,1,1003,2,2,1,0,110,107,107\\n2020-12-05,3,3354,1,1,0,0,0,6,6\\n2020-08-12,6,6435,4,7,0,0,25,65,55\\n2020-05-17,5,5962,8,8,6,3,55,71,71\\n2020-11-24,3,3455,2,2,2,1,14,23,23\\n \\n CSV Table B: T7gS0B9wuO8,5ArEgCtuDyM,IBOO7n66j2I,/8WN7SwQxtM,+TcFRhetc3o,XmI4BR0CDwY,xEEeWKcl26k,0bFLf6WxD8A,zSt62OHmjJ8\\n9777,24591000,Weak,gas,6040452,20,0,15.6466,5.0 out of 5 stars\\n12054,8334800,Weak,gas,6038888,55,0,15.6466,5.0 out of 5 stars\\n9462,9875400,Weak,gas,5941356,50,0,15.6466,5.0 out of 5 stars\\n15001,8338300,New,gas,6040452,25,0,15.6466,5.0 out of 5 stars\\n9362,8995500,Weak,gas,5941356,184,0,15.6466,5.0 out of 5 stars\\n3257,8564500,New,gas,5510456,22,0,15.6466,4.0 out of 5 stars\\n9572,8948500,New,gas,6040452,4,0,15.6466,5.0 out of 5 stars\\n13072,11859900,New,gas,5510456,33,0,15.6466,5.0 out of 5 stars\\n3153,16537400,Weak,gas,6038888,40,0,15.6466,5.0 out of 5 stars\\n15088,11010400,New,gas,5026787,16,0,15.6466,5.0 out of 5 stars\\n9371,7534000,New,gas,6040452,9,0,15.6466,5.0 out of 5 stars\\n8417,9818100,Weak,gas,5510456,19,0,15.6466,5.0 out of 5 stars\\n5711,9965000,Weak,gas,6038888,138,0,15.6466,5.0 out of 5 stars\\n7232,20254600,Good,gas,5941356,12,0,15.6466,5.0 out of 5 stars\\n9173,9989300,New,gas,5510456,22,0,15.6466,5.0 out of 5 stars\\n9676,12805200,Weak,gas,5026787,10,0,15.6466,5.0 out of 5 stars\\n6532,12652800,New,gas,5510456,47,0,15.6466,5.0 out of 5 stars\\n \\n Output: \\n"
] | {"betten_belegt": "XmI4BR0CDwY", "gemeindeschluessel": "T7gS0B9wuO8"} | tablejoin | 2024-06-24T00:00:00 | |
d89584191190995d5cb7307c938dbfb201e3af17ed7f666c2afae0fe2ad55985 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: hospital_pk,collection_week,state,ccn,hospital_name,address,city,zip,hospital_subtype,fips_code\\n131302,2020-04-05T00:00:00.,ID,131302.0,NORTH CANYON MEDICAL,267 NORTH CANYON DR,GOODING,83330,Critical Access Hosp,16047.0\\n420023,2020-05-10T00:00:00.,SC,420023.0,ST FRANCIS-DOWNTOWN,ONE ST FRANCIS DR,GREENVILLE,29601,Short Term,45045.0\\n030016,2020-05-10T00:00:00.,AZ,30016.0,BANNER CASA GRANDE M,1800 EAST FLORENCE B,CASA GRANDE,85122,Short Term,4021.0\\n452019,2020-05-17T00:00:00.,TX,452019.0,KINDRED HOSPITAL FOR,1802 HIGHWAY 157 NOR,MANSFIELD,76063,Long Term,48439.0\\n400005,2020-05-31T00:00:00.,PR,400005.0,HIMA SAN PABLO HUMAC,CALLE FONT MARTELO #,HUMACAO,791,Short Term,72069.0\\n650003,2020-06-21T00:00:00.,GU,650003.0,GUAM REGIONAL MEDICA,133 ROUTE 3,DEDEDO,96929,Short Term,66010.0\\n440183,2020-05-17T00:00:00.,TN,440183.0,ST FRANCIS HOSPITAL,5959 PARK AVE,MEMPHIS,38119,Short Term,47157.0\\n490060,2020-06-07T00:00:00.,VA,490060.0,CLINCH VALLEY MEDICA,6801 GOVERNOR GC PER,RICHLANDS,24641,Short Term,51185.0\\n110226,2020-06-28T00:00:00.,GA,110226.0,EMORY HILLANDALE HOS,2801 DEKALB MEDICAL ,LITHONIA,30058,Short Term,13089.0\\n410012,2020-06-21T00:00:00.,RI,410012.0,THE MIRIAM HOSPITAL,164 SUMMIT AVENUE,PROVIDENCE,2906,Short Term,44007.0\\n010095,2020-05-17T00:00:00.,AL,10095.0,HALE COUNTY HOSPITAL,508 GREEN STREET,GREENSBORO,36744,Short Term,1065.0\\n231305,2020-05-31T00:00:00.,MI,231305.0,ASCENSION STANDISH H,805 W CEDAR ST,STANDISH,48658,Critical Access Hosp,26011.0\\n360029,2020-05-31T00:00:00.,OH,360029.0,WOOD COUNTY HOSPITAL,950 WEST WOOSTER STR,BOWLING GREEN,43402,Short Term,39173.0\\n310040,2020-08-02T00:00:00.,NJ,310040.0,CAREPOINT HEALTH-HOB,308 WILLOW AVE,HOBOKEN,7030,Short Term,34017.0\\n140289,2020-05-24T00:00:00.,IL,140289.0,ANDERSON HOSPITAL,6800 STATE ROUTE 162,MARYVILLE,62062,Short Term,17119.0\\n140122,2020-03-29T00:00:00.,IL,140122.0,UCHICAGO MEDICINE AD,120 NORTH OAK ST,HINSDALE,60521,Short Term,17043.0\\n192037,2020-05-10T00:00:00.,LA,192037.0,HOUMA - AMG SPECIALT,629 DUNN STREET,HOUMA,70360,Long Term,22109.0\\n140100,2020-04-12T00:00:00.,IL,140100.0,MIDWESTERN REGION ME,2520 ELISHA AVENUE,ZION,60099,Short Term,17097.0\\n010150,2020-04-19T00:00:00.,AL,10150.0,REGIONAL MEDICAL CEN,29 L V STABLER DRIVE,GREENVILLE,36037,Short Term,1013.0\\n \\n CSV Table B: LB1c5bVtloU,NWoi+UEeAUY,cOXVTPLBCRY,eaRWRFfT5Wg,am9yrWhMHrw,RKRCNpVVdoc\\n6040452,0,15.6466,55422,3300 OAKDALE NORTH,Short Term\\n6038888,1,15.6466,68632,372 SOUTH 9TH STREET,Critical Access Hosp\\n5941356,2,15.6466,30286,801 W GORDON STREET,Short Term\\n6040452,3,15.6466,51401,311 SOUTH CLARK STRE,Short Term\\n5941356,4,15.6466,60451,1900 SILVER CROSS BL,Short Term\\n5510456,5,15.6466,46011,1515 N MADISON AVE,Short Term\\n6040452,6,15.6466,82443,150 EAST ARAPAHOE,Critical Access Hosp\\n5510456,7,15.6466,63368,2 PROGRESS POINT PKW,Short Term\\n6038888,8,15.6466,97845,170 FORD ROAD,Critical Access Hosp\\n5026787,9,15.6466,70633,110 WEST 4TH STREET,Critical Access Hosp\\n6040452,10,15.6466,70128,14500 HAYNE BLVD,Long Term\\n5510456,11,15.6466,79410,3815 20TH STREET,Long Term\\n6038888,12,15.6466,97225,9205 SW BARNES ROAD,Short Term\\n5941356,13,15.6466,47882,2200 N SECTION ST,Critical Access Hosp\\n5510456,14,15.6466,48202,2799 W GRAND BLVD,Short Term\\n5026787,15,15.6466,79347,708 S 1ST ST,Critical Access Hosp\\n5510456,16,15.6466,15801,100 HOSPITAL AVENUE,Short Term\\n5026787,17,15.6466,19301,255 WEST LANCASTER A,Short Term\\n5510456,18,15.6466,47804,1606 N SEVENTH ST,Short Term\\n \\n Output: \\n"
] | {"zip": "eaRWRFfT5Wg", "address": "am9yrWhMHrw", "hospital_subtype": "RKRCNpVVdoc"} | tablejoin | 2024-06-24T00:00:00 | |
1620e3381c6b9ba1ff0bcde15d816ec23ce445e1de6ed45de56ca41b0d1ae855 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: Areas,freq_1,freq_2,freq_3,freq_4,freq_5,freq_6\\n5.933795753838489,1.0,0.7714353152956073,0.3375919869424647,0.0704448788641532,0.0107929607876282,0.0267687337606832\\n1.5210910200051493,1.0,0.3352216459590461,0.3142629045582596,0.018591929252257,0.0044317931629377,0.0180898247588335\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n1.6806327718556786,1.0,0.2886022195535446,0.1519876382827813,0.0955270177197378,0.0582274733294353,0.0120363467931941\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n3.394541372160921,0.9340198828403428,0.5170177427626574,0.8907295186595751,0.6248519995457857,0.4801956382727493,0.0963058220609996\\n1.940443897590438,1.0,0.0168048360419492,0.0684236444875642,0.0197865184978094,0.0085870714109561,0.0218420918462181\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n22.69973176183243,1.0,0.2635890581296524,0.1015738531735589,0.0557092844099098,0.0389717755071762,0.0268118043445155\\n15.72102675863944,1.0,0.2534177765079918,0.1213851367645493,0.0758989580007738,0.0497306692526718,0.0423569503878933\\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\\n16.790685004304716,1.0,0.4596285598249906,0.2470266743171786,0.159609995246162,0.0683835858311823,0.0611051507365258\\n3.775196155630213,1.0,0.1484267571813163,0.0838537815456624,0.0467573958130329,0.0290824998529619,0.0202236843754584\\n \\n CSV Table B: 9DjQ3tK+uag,ei1O4ueH08o,a6oKqAbhiYE,oZa6HchyMZU,KaFTwefModI\\n0.0889692177421741,4.451112936702725,gas,1.0,0.0518831658900293\\n0.0,0.0,gas,0.0,0.0\\n0.0,0.0,gas,0.0,0.0\\n0.3500152338519772,2.6029018246824216,gas,0.5115910674487147,0.4856065717300028\\n0.0312477623708865,6.100652645212125,gas,1.0,0.0280783737865971\\n0.0,0.0,gas,0.0,0.0\\n0.0,0.0,gas,0.0,0.0\\n0.1195854319548732,5.928007798057385,gas,1.0,0.0520140122427527\\n0.4863107106367197,3.990970350783068,gas,1.0,0.3519195684437978\\n0.0,0.0,gas,0.0,0.0\\n0.1889284571653062,8.889283224092921,gas,1.0,0.0781596355026045\\n0.0,0.0,gas,0.0,0.0\\n0.0,0.0,gas,0.0,0.0\\n0.0879670614404105,4.20557923909491,gas,1.0,0.0952474046083429\\n0.0,0.0,gas,0.0,0.0\\n \\n Output: \\n"
] | {"freq_1": "oZa6HchyMZU", "Areas": "ei1O4ueH08o", "freq_3": "9DjQ3tK+uag", "freq_4": "KaFTwefModI"} | tablejoin | 2024-06-24T00:00:00 | |
01fc14e123214c67cbf235824d1ec952a825d5f78464ecc18fb9609c2781f50c | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: email,label\\nAct now! Limited-tim,spam\\nUpgrade to our premi,ham\\nThank you for subscr,ham\\nYour order has been ,ham\\nWe're excited to sha,ham\\nURGENT: Your account,spam\\nWe've extended our s,ham\\nYou've been selected,spam\\nYour account has bee,spam\\nUnlock exclusive dis,spam\\n \\n CSV Table B: lG1K/C5s5Ww,t8DtGa8xUVw\\nham,0\\nham,0\\nham,0\\nham,0\\nham,0\\nham,0\\nspam,0\\nham,0\\nham,0\\nham,0\\nham,0\\n \\n Output: \\n"
] | {"label": "lG1K/C5s5Ww"} | tablejoin | 2024-06-24T00:00:00 | |
490dfdc0383f199c870aa7710499c4081c35ff3545415dab3904f64e7526a809 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: name,id,nametype,recclass,mass,fall,year,reclat,reclong,geolocation\\nRepeev Khutor,22590,Valid,\"Iron, IIF\",7000.0,Fell,1933-01-01T00:00:00.,48.6,45.66667,\"{\\'latitude\\': \\'48.6\\',\"\\nKhmelevka,12297,Valid,L5,6109.0,Fell,1929-01-01T00:00:00.,56.75,75.33333,{\\'latitude\\': \\'56.75\\'\\nRichland Springs,22602,Valid,OC,1900.0,Fell,1980-01-01T00:00:00.,31.25,-99.03333,{\\'latitude\\': \\'31.25\\'\\nLichtenberg,14646,Valid,H6,4000.0,Fell,1973-01-01T00:00:00.,-26.15,26.18333,{\\'latitude\\': \\'-26.15\\nDjati-Pengilon,7652,Valid,H6,166000.0,Fell,1884-01-01T00:00:00.,-7.5,111.5,\"{\\'latitude\\': \\'-7.5\\',\"\\nJohnstown,12198,Valid,Diogenite,40300.0,Fell,1924-01-01T00:00:00.,40.35,-104.9,{\\'latitude\\': \\'40.35\\'\\nDanville,5514,Valid,L6,2000.0,Fell,1868-01-01T00:00:00.,34.4,-87.06667,\"{\\'latitude\\': \\'34.4\\',\"\\nDesuri,6693,Valid,H6,25400.0,Fell,1962-01-01T00:00:00.,25.73333,73.61667,{\\'latitude\\': \\'25.733\\nMyhee Caunta,16887,Valid,OC,,Fell,1842-01-01T00:00:00.,23.05,72.63333,{\\'latitude\\': \\'23.05\\'\\nGlanerbrug,10923,Valid,L/LL5,670.0,Fell,1990-01-01T00:00:00.,52.2,6.86667,\"{\\'latitude\\': \\'52.2\\',\"\\nElenovka,7824,Valid,L5,54640.0,Fell,1951-01-01T00:00:00.,47.83333,37.66667,{\\'latitude\\': \\'47.833\\n \\n CSV Table B: +wt5tR9hUmk,qYGU6k7IF84,SfVC0olx/OE,dpKqmiM3LcE,NljmnVvMvfc,q4yxeqSsc3o,SeflMNbyB9c\\n2405.0,gas,24591000,1955-01-01T00:00:00.,Fell,5.0 out of 5 stars,Weak\\n650.0,gas,8334800,1868-01-01T00:00:00.,Fell,5.0 out of 5 stars,Weak\\n737.6,gas,9875400,1962-01-01T00:00:00.,Fell,5.0 out of 5 stars,Weak\\n61.4,gas,8338300,1981-01-01T00:00:00.,Fell,5.0 out of 5 stars,New\\n85000.0,gas,8995500,1961-01-01T00:00:00.,Fell,5.0 out of 5 stars,Weak\\n9.6,gas,8564500,2003-01-01T00:00:00.,Found,4.0 out of 5 stars,New\\n350.0,gas,8948500,1908-01-01T00:00:00.,Fell,5.0 out of 5 stars,New\\n1393.0,gas,11859900,1883-01-01T00:00:00.,Fell,5.0 out of 5 stars,New\\n680.5,gas,16537400,1998-01-01T00:00:00.,Fell,5.0 out of 5 stars,Weak\\n22.0,gas,11010400,1866-01-01T00:00:00.,Fell,5.0 out of 5 stars,New\\n0.5,gas,7534000,1814-01-01T00:00:00.,Fell,5.0 out of 5 stars,New\\n \\n Output: \\n"
] | {"mass": "+wt5tR9hUmk", "fall": "NljmnVvMvfc", "year": "dpKqmiM3LcE"} | tablejoin | 2024-06-24T00:00:00 | |
0764131eaf30bb8af36ad749f144da01c0113b1cee00092dde2919287df2ba78 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: Period\\\\Unit:,[Australian dollar ],[Bulgarian lev ],[Brazilian real ],[Canadian dollar ],[Swiss franc ],[Chinese yuan renminbi ],[Cypriot pound ],[Czech koruna ],[Danish krone ]\\n2012-10-11,1.2573,1.9558,2.6339,1.2645,1.2087,8.1086,,24.940,7.4588\\n2001-05-25,1.6485,1.9461,2.0210,1.3240,1.5272,7.1108,0.57697,34.288,7.4592\\n2009-11-30,1.6452,1.9558,2.6251,1.5882,1.5071,10.2564,,26.135,7.4424\\n2007-08-17,1.7213,1.9558,2.7736,1.4416,1.6245,10.2184,0.58420,27.663,7.4409\\n2005-06-16,1.5738,1.9560,2.9448,1.4984,1.5395,10.0270,0.57420,29.960,7.4429\\n2023-08-14,1.6853,1.9558,5.3764,1.47,0.9608,7.9356,,24.038,7.4515\\n2021-05-24,1.5804,1.9558,6.5299,1.4731,1.0957,7.8487,,25.424,7.4364\\n2011-04-12,1.3783,1.9558,2.2859,1.3864,1.3017,9.4638,,24.448,7.4584\\n2015-09-18,1.5709,1.9558,4.4370,1.4876,1.0913,7.2674,,27.071,7.4612\\n2022-05-16,1.5057,1.9558,5.2819,1.3473,1.0479,7.0786,,24.710,7.4418\\n \\n CSV Table B: crjCpvL6IHM,PzdYfZWVuZ8,NxnXOP1axWA,qQ/ysRVsisg,bG37FIQSUl4,ZTaHTGeeVq0,GChDi7tNjcY,sCAriUO7mec\\n2014-01-07,1.2367,6040452,5.0 out of 5 stars,gas,24591000,27.454,3.2241\\n2021-04-14,1.1033,6038888,5.0 out of 5 stars,gas,8334800,25.929,6.8189\\n2024-02-09,0.9432,5941356,5.0 out of 5 stars,gas,9875400,25.172,5.3637\\n1999-07-05,1.6055,6040452,5.0 out of 5 stars,gas,8338300,36.188,\\n1999-02-25,1.5905,5941356,5.0 out of 5 stars,gas,8995500,37.994,\\n1999-05-14,1.6020,5510456,4.0 out of 5 stars,gas,8564500,37.627,\\n2012-09-19,1.2095,6040452,5.0 out of 5 stars,gas,8948500,24.870,2.6317\\n2018-10-25,1.1407,5510456,5.0 out of 5 stars,gas,11859900,25.831,4.2357\\n2024-02-20,0.9526,6038888,5.0 out of 5 stars,gas,16537400,25.429,5.3521\\n2001-03-14,1.5361,5026787,5.0 out of 5 stars,gas,11010400,34.608,1.9048\\n \\n Output: \\n"
] | {"[Czech koruna ]": "GChDi7tNjcY", "[Swiss franc ]": "PzdYfZWVuZ8", "Period\\Unit:": "crjCpvL6IHM", "[Brazilian real ]": "sCAriUO7mec"} | tablejoin | 2024-06-24T00:00:00 | |
55d610b0b74c049e9664df825f1bffcb7999fffc0576ff3317960a2124c3feaf | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: Unnamed: 0,military_base_name,coordinates,longtitudes,latitudes,description\\n231,Warehouses,\"36.192135119525,51.7\",36.192135119525,51.76504015277498,military unit 55443-\\n2549,\"FGKU plant \"\"Zaliv\"\", \",\"91.2538259396279,53.\",91.2538259396279,53.84058923722024,\\n2268,Training Center for ,\"37.45257182147071,55\",37.45257182147071,55.65068030560189,A special object of \\n2463,Foreign Intelligence,\"37.51818966901558,55\",37.51818966901558,55.58494050230941,\\n2904,Testing Facility of ,\"30.17821336359249,60\",30.17821336359249,60.29493749739285,Testing of missiles \\n2566,\"FGKU plant \"\"Argun\"\", \",\"114.3215040279572,51\",114.3215040279572,51.61993889490242,\\n974,122nd Missile Regime,\"45.38931092844241,52\",45.38931092844241,52.23762486615308,\"military unit 77980,\"\\n1221,874th Radio-Technica,\"40.42184468866319,56\",40.42184468866319,56.13374562694942,military unit 30790\\n443,Warehouse,\"83.06531660551912,54\",83.06531660551912,54.95831270373129,military unit 58661-\\n2769,Training Ground,\"33.17734347037145,68\",33.17734347037145,68.88951166395577,\\n2621,/A Combined Arms Aca,\"37.6956668243265,55.\",37.6956668243265,55.76136846272302,\\n1746,280th Guards Motor R,\"22.2162231483651,54.\",22.2162231483651,54.59815334275081,\\n2696,Transmitting Radio C,\"40.13394840314977,62\",40.13394840314977,62.65320112079713,\\n1650,332nd Radio-Technica,\"40.68273814029152,64\",40.68273814029152,64.5187161106319,military unit 21514\\n2666,Z/4,\"143.0899635435795,59\",143.0899635435795,59.41749468741156,\\n2412,94th Internal Troops,\"43.31647007301511,54\",43.31647007301511,54.9363508702557,military unit 3274\\n2732,Training Grounds,\"36.92967872777752,55\",36.92967872777752,55.54215358750233,\\n \\n CSV Table B: dldBxBN4tl4,SmRhS/d2xpk,gVRuuM0qimI,7SxcDOM+98w,VP8coLynuXw\\n44.51916101735122,6040452,33.48334624839457,0,\\n51.82107969463786,6038888,107.6915756165818,0,\\n61.83338956320217,5941356,34.25154208925353,0,military unit 18558\\n55.8398933314324,6040452,37.56263109395489,0,Estabilished in Janu\\n56.19537331447595,5941356,37.04376605026997,0,military unit 92154\\n43.75156070078539,5510456,44.01921733219185,0,\"military unit 31681,\"\\n49.9425896490698,6040452,40.4966289477541,0,military unit 83833\\n48.68547115904807,5510456,45.72473406052717,0,\\n67.66637512688602,6038888,49.037423858874,0,Designed to detect a\\n51.5646535131477,5026787,113.0394034094085,0,military unit 48271 \\n55.47150518695323,6040452,28.78653481318823,0,military unit 32404\\n47.21956872393976,5510456,39.70363102317334,0,\\n46.3954054309925,6038888,47.90753819956586,0,\"MiG-29UBM, MiG-29SMT\"\\n52.5842238897004,5941356,39.56394893283026,0,military unit 5961\\n50.70253121855274,5510456,136.7369473000318,0,military unit 47127\\n56.46296735538946,5026787,48.14977296610531,0,military unit 58661-\\n51.59114083272477,5510456,39.09266975663168,0,\"military unit 51025,\"\\n43.9348278717269,5026787,131.8872930091488,0,\\n \\n Output: \\n"
] | {"latitudes": "dldBxBN4tl4", "description": "VP8coLynuXw", "longtitudes": "gVRuuM0qimI"} | tablejoin | 2024-06-24T00:00:00 | |
9d53b3ca366bedc7b149a5d41a4dc5c52cd76f1989a0cb6020d304fef6eb8d8d | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: valor,unidad,vigenciadesde,vigenciahasta\\n3843.59,COP,2020-10-15T00:00:00.,2020-10-15T00:00:00.\\n3997.09,COP,2021-12-24T00:00:00.,2021-12-24T00:00:00.\\n3450.74,COP,2021-01-06T00:00:00.,2021-01-06T00:00:00.\\n4003.95,COP,2022-01-20T00:00:00.,2022-01-20T00:00:00.\\n3993.53,COP,2023-09-13T00:00:00.,2023-09-13T00:00:00.\\n3639.12,COP,2021-04-22T00:00:00.,2021-04-22T00:00:00.\\n3784.44,COP,2021-10-30T00:00:00.,2021-11-02T00:00:00.\\n3927.25,COP,2022-02-19T00:00:00.,2022-02-22T00:00:00.\\n4039.31,COP,2022-01-07T00:00:00.,2022-01-07T00:00:00.\\n3905.95,COP,2023-09-19T00:00:00.,2023-09-19T00:00:00.\\n4506.49,COP,2023-05-16T00:00:00.,2023-05-16T00:00:00.\\n3827.27,COP,2020-08-22T00:00:00.,2020-08-24T00:00:00.\\n3743.79,COP,2020-05-28T00:00:00.,2020-05-28T00:00:00.\\n \\n CSV Table B: e8EOCOtc2tE,92E9ya41vLI,Qiz4gNNSkjU\\nCOP,2023-01-20T00:00:00.,0\\nCOP,2022-12-23T00:00:00.,0\\nCOP,2023-07-06T00:00:00.,0\\nCOP,2023-05-15T00:00:00.,0\\nCOP,2021-11-18T00:00:00.,0\\nCOP,2021-08-25T00:00:00.,0\\nCOP,2022-10-03T00:00:00.,0\\nCOP,2022-01-27T00:00:00.,0\\nCOP,2022-08-18T00:00:00.,0\\nCOP,2022-03-24T00:00:00.,0\\nCOP,2021-04-14T00:00:00.,0\\nCOP,2023-06-05T00:00:00.,0\\nCOP,2021-03-26T00:00:00.,0\\nCOP,2023-08-14T00:00:00.,0\\n \\n Output: \\n"
] | {"vigenciahasta": "92E9ya41vLI", "unidad": "e8EOCOtc2tE"} | tablejoin | 2024-06-24T00:00:00 | |
d4b2efd567053821eedf1ea3f759d4948f50264b94bd6ff37b18bc92e79d4fc1 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: DeviceTimeStamp,WL1,WL2,WL3,VAL1,VAL2,VAL3,RVAL1,RVAL2,RVAL3\\n2019-10-04T15:30,34.3,24.5,32.1,34.9,24.8,32.2,5.9,3.8,0.0032\\n2019-09-13T19:15,32.1,29.3,36.5,32.6,29.3,36.7,5.5,0.7,0.0037\\n2019-07-14T15:30,15.8,9.9,16.3,15.9,10.2,17.4,1.8,2.7,0.0059\\n2020-02-15T15:00,22.6,12.2,22.8,22.7,12.5,23.9,1.6,2.7,0.0072\\n2019-07-16T21:30,30.5,17.9,23.0,30.6,18.2,23.8,1.6,3.0,0.0058\\n2020-01-21T04:45,7.5,3.2,8.0,7.5,3.5,8.2,0.0,1.4,0.0016\\n2019-10-12T02:15,16.3,16.0,22.4,16.3,16.2,22.7,1.3,2.3,0.0041\\n2019-07-17T21:45,27.1,21.7,35.6,27.1,21.8,35.9,0.5,1.8,0.0052\\n2020-02-14T18:32,25.6,23.3,33.1,25.7,23.4,33.2,2.0,1.1,0.0031\\n2019-10-13T09:30,11.5,8.4,13.0,11.6,8.6,13.5,1.4,1.9,0.0036\\n2019-07-21T03:00,21.1,14.4,15.5,21.1,14.9,16.0,0.5,3.6,0.0042\\n2019-07-17T11:30,28.1,33.4,21.8,28.2,33.8,22.4,2.5,5.3,0.0051\\n2019-09-29T02:30,13.9,10.6,17.5,14.1,10.8,17.5,2.8,1.8,0.0003\\n2019-10-25T03:15,9.1,8.9,12.6,9.1,9.0,12.8,0.0,1.4,0.0019\\n2019-11-16T14:45,24.8,17.4,24.9,24.9,17.6,25.7,1.8,2.6,0.0061\\n2019-08-12T23:15,18.3,23.5,29.8,18.3,23.8,30.0,1.0,3.8,0.0038\\n2019-11-12T00:15,9.9,7.3,13.0,9.9,7.5,13.1,0.0,1.7,0.0018\\n2020-02-22T12:00,20.5,15.0,21.6,20.6,15.1,22.6,1.9,1.7,0.0066\\n2019-08-13T08:30,12.8,11.5,16.7,12.9,11.9,17.2,1.4,3.1,0.0042\\n \\n CSV Table B: cHPoo7lgKBA,TeH5/klJBIw,MaSbo+Z2DHA,36f4XRtKk+w,I6bLqKSl6OM,09ii68KGAcU,mlTxGdesaBg,ApUalwZOj0I,qVjPndX/zGk\\n0.0,0.0,0.0,2019-06-28T16:08,5.0 out of 5 stars,6040452,No,0.0,2024-04-23T05:00:01.\\n1.7,11.3,17.9,2019-12-04T13:00,5.0 out of 5 stars,6038888,No,11.9,2024-04-23T05:00:01.\\n2.6,6.8,11.9,2020-03-02T07:45,5.0 out of 5 stars,5941356,No,7.1,2024-04-23T05:00:01.\\n-1.0,4.7,8.2,2020-02-16T01:30,5.0 out of 5 stars,6040452,No,5.0,2024-04-23T05:00:01.\\n-0.6,3.2,7.3,2020-01-29T04:00,5.0 out of 5 stars,5941356,No,3.3,2024-04-23T05:00:01.\\n1.7,13.4,16.0,2019-10-27T21:15,4.0 out of 5 stars,5510456,Si,13.7,2024-04-23T05:00:01.\\n-0.2,4.5,8.1,2020-02-21T06:45,5.0 out of 5 stars,6040452,Si,4.5,2024-04-23T05:00:01.\\n2.6,21.5,33.7,2019-11-04T14:45,5.0 out of 5 stars,5510456,Si,21.9,2024-04-23T05:00:01.\\n1.0,4.3,8.9,2019-11-26T06:00,5.0 out of 5 stars,6038888,No,4.6,2024-04-23T05:00:01.\\n1.8,11.3,18.7,2020-02-01T15:30,5.0 out of 5 stars,5026787,No,11.5,2024-04-23T05:00:01.\\n1.4,12.8,15.6,2019-07-23T07:30,5.0 out of 5 stars,6040452,Si,13.1,2024-04-23T05:00:01.\\n2.2,19.6,24.3,2020-03-23T19:45,5.0 out of 5 stars,5510456,No,19.7,2024-04-23T05:00:01.\\n1.3,11.2,19.0,2019-10-29T21:45,5.0 out of 5 stars,6038888,Si,11.5,2024-04-23T05:00:01.\\n1.3,12.2,16.7,2019-12-01T20:45,5.0 out of 5 stars,5941356,Si,12.6,2024-04-23T05:00:01.\\n-0.3,3.2,7.1,2020-01-21T04:15,5.0 out of 5 stars,5510456,No,3.5,2024-04-23T05:00:01.\\n5.9,30.2,38.2,2019-09-26T18:45,5.0 out of 5 stars,5026787,No,30.2,2024-04-23T05:00:01.\\n4.5,11.3,12.4,2020-03-03T09:30,5.0 out of 5 stars,5510456,No,11.8,2024-04-23T05:00:01.\\n0.4,13.2,13.1,2019-08-01T01:30,5.0 out of 5 stars,5026787,No,13.6,2024-04-23T05:00:01.\\n-0.4,7.7,8.3,2020-01-30T07:30,5.0 out of 5 stars,5510456,No,8.1,2024-04-23T05:00:01.\\n0.9,9.7,14.6,2019-10-28T05:00,5.0 out of 5 stars,6038888,No,9.8,2024-04-23T05:00:01.\\n \\n Output: \\n"
] | {"WL2": "TeH5/klJBIw", "VAL2": "ApUalwZOj0I", "VAL1": "MaSbo+Z2DHA", "RVAL1": "cHPoo7lgKBA", "DeviceTimeStamp": "36f4XRtKk+w"} | tablejoin | 2024-06-24T00:00:00 | |
d60522bc74ae4e6d7ba1a5e0401e53e4a3d7a7182fed328e72825445ceafba9d | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: URI,Age,2024 Net Worth,Industry,Source of Wealth,Title,Organization,Self-Made,Self-Made Score,Philanthropy Score\\nMarijke Mars,59.0,$9.6B,Food & Beverage,\"Candy, pet food\",,,False,2.0,\\nRay Lee Hunt,81.0,$7.2B,Energy,\"Oil, real estate\",,,False,5.0,2.0\\nArvind Poddar,66.0,$3.2B,Automotive,Tires,,,False,,\\nRoman Abramovich & f,57.0,$9.7B,Diversified,\"Steel, investments\",,,True,,\\nSudhir Mehta,69.0,$5.8B,Healthcare,\"Pharmaceuticals, pow\",,,False,,\\nWang Xing,45.0,$8.8B,Technology,Food delivery,,,True,,\\nTran Ba Duong & fami,64.0,$1.2B,Automotive,Automotive,,,True,,\\nYuri Shefler,56.0,$1.6B,Food & Beverage,Alcohol,,,True,,\\nSeo Jung-jin,66.0,$7.3B,Healthcare,Biotech,,Celltrion Inc.,True,,\\nBenu Gopal Bangur,92.0,$6.8B,Manufacturing,Cement,,,False,,\\nStuart Hoegner,,$2.5B,Finance & Investment,Cryptocurrency,,,True,,\\nGyorgy Gattyan,,$1.1B,Media & Entertainmen,Adult Entertainment,,,True,,\\nKevin David Lehmann,21.0,$3.3B,Fashion & Retail,Drugstores,,,False,,\\nDaniel Kretinsky,48.0,$9.4B,Energy,\"Energy, investments\",,,True,,\\nAndreas Pohl,59.0,$2.4B,Finance & Investment,Mutual funds,,,False,,\\nJared Isaacman,41.0,$1.9B,Technology,Payment processing,,,True,8.0,\\nElisabeth DeLuca & f,76.0,$8.2B,Food & Beverage,Subway,,,False,2.0,2.0\\n \\n CSV Table B: 3dYEUhFn25k,GYfbnsuJx3c,qec7t3TedKU,SmRhS/d2xpk,g4xCeD41TZs,7MoRrR9ITEw,7SxcDOM+98w,j4MgzSCqO6Q\\nNo,0,Weak,6040452,5.0 out of 5 stars,,0,24591000\\nNo,1,Weak,6038888,5.0 out of 5 stars,,0,8334800\\nNo,2,Weak,5941356,5.0 out of 5 stars,,0,9875400\\nNo,3,New,6040452,5.0 out of 5 stars,,0,8338300\\nNo,4,Weak,5941356,5.0 out of 5 stars,Ford Financial Fund,0,8995500\\nSi,5,New,5510456,4.0 out of 5 stars,,0,8564500\\nSi,6,New,6040452,5.0 out of 5 stars,Antofagasta PLC,0,8948500\\nSi,7,New,5510456,5.0 out of 5 stars,,0,11859900\\nNo,8,Weak,6038888,5.0 out of 5 stars,,0,16537400\\nNo,9,New,5026787,5.0 out of 5 stars,,0,11010400\\nSi,10,New,6040452,5.0 out of 5 stars,,0,7534000\\nNo,11,Weak,5510456,5.0 out of 5 stars,,0,9818100\\nSi,12,Weak,6038888,5.0 out of 5 stars,,0,9965000\\nSi,13,Good,5941356,5.0 out of 5 stars,Adani Group,0,20254600\\nNo,14,New,5510456,5.0 out of 5 stars,,0,9989300\\nNo,15,Weak,5026787,5.0 out of 5 stars,,0,12805200\\nNo,16,New,5510456,5.0 out of 5 stars,,0,12652800\\nNo,17,New,5026787,5.0 out of 5 stars,,0,9834300\\n \\n Output: \\n"
] | {"Organization": "7MoRrR9ITEw"} | tablejoin | 2024-06-24T00:00:00 | |
e824359153d4fea96a9257ecceb44a3bb95dd0c84f95e2e3964ebdcdf8e8b32b | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: ticker,month,trend,REVS10,REVS20,REVS5,RSTR12,RSTR24,EARNMOM,FiftyTwoWeekHigh\\n600522,2022/6/30,0,1.2333,1.2616,1.1159,0.8618,0.7484,2,1.0\\n423,2018/1/31,0,1.0274,1.0521,0.967,0.1947,0.4284,6,0.6423\\n601877,2021/1/31,0,0.9706,0.9446,0.931,0.3211,0.3986,2,0.798\\n600048,2022/10/31,1,0.8075,0.7801,0.8498,0.0997,-0.0357,2,0.2813\\n300033,2021/10/31,1,0.9708,0.8623,0.9624,-0.2148,0.0836,8,0.3073\\n600029,2019/5/31,1,1.007,0.8479,1.0056,-0.31,-0.1422,2,0.2882\\n601018,2018/9/30,0,1.0049,1.0123,1.0049,-0.3574,-0.1692,4,0.0436\\n600009,2019/12/31,0,0.9994,1.0436,1.0122,0.4317,0.5976,8,0.784\\n60,2018/3/31,1,0.9465,0.9333,1.0319,-0.1841,-0.151,4,0.0677\\n600023,2019/2/28,1,1.0414,1.0717,1.0437,-0.1304,-0.1258,-4,0.3134\\n601211,2019/11/30,1,0.9988,0.9681,1.0109,0.0672,-0.1566,0,0.2955\\n600309,2020/8/31,0,1.0908,1.0842,1.0294,0.5123,0.4557,-6,0.9659\\n2624,2019/11/30,1,1.1367,1.2008,1.0073,0.337,0.0987,2,0.905\\n \\n CSV Table B: NGeDFcnzn7Q,tbWH4NW21KE,urGRA/BeJ1g,ASvdFX/j0/E,80Qm2D0L2Xw,6V+5/UuEIB0,UzDJiMPnvzM,5s14gRQnpFg\\n0.9453,15.6466,0,24591000,6040452,Weak,0.9304,gas\\n1.0154,15.6466,1,8334800,6038888,Weak,0.994,gas\\n1.0249,15.6466,2,9875400,5941356,Weak,0.9896,gas\\n1.0761,15.6466,3,8338300,6040452,New,1.3318,gas\\n0.9926,15.6466,4,8995500,5941356,Weak,1.063,gas\\n1.0123,15.6466,5,8564500,5510456,New,0.9844,gas\\n0.9394,15.6466,6,8948500,6040452,New,0.8686,gas\\n0.9607,15.6466,7,11859900,5510456,New,0.9144,gas\\n1.0,15.6466,8,16537400,6038888,Weak,1.0197,gas\\n0.9579,15.6466,9,11010400,5026787,New,0.9259,gas\\n1.1432,15.6466,10,7534000,6040452,New,1.18,gas\\n0.9908,15.6466,11,9818100,5510456,Weak,0.9134,gas\\n0.9474,15.6466,12,9965000,6038888,Weak,0.9057,gas\\n \\n Output: \\n"
] | {"REVS10": "UzDJiMPnvzM", "REVS5": "NGeDFcnzn7Q"} | tablejoin | 2024-06-24T00:00:00 | |
519653e1054c2c48e303e4f8fb1fa2e5fe01d1fd1fb4d26fa45a33b5eb781a3c | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: DeviceTimeStamp,WL1,WL2,WL3,VAL1,VAL2,VAL3,RVAL1,RVAL2,RVAL3\\n2019-07-25T08:01,15.5,10.9,16.3,15.9,11.3,17.3,3.7,2.7,0.0057\\n2020-03-04T15:00,30.3,13.1,25.7,30.7,14.0,28.5,4.6,4.8,0.0122\\n2020-03-24T21:00,15.2,9.7,21.3,15.3,10.1,21.7,2.1,2.7,0.004\\n2019-10-30T04:10,13.8,8.0,15.7,13.8,8.2,16.1,1.0,1.6,0.0034\\n2019-10-30T09:15,16.7,15.8,15.9,17.0,16.1,17.0,3.1,3.1,0.006\\n2020-02-08T06:45,8.3,4.0,9.8,8.3,4.4,10.1,0.5,1.7,0.0025\\n2019-12-08T17:20,14.4,11.9,23.1,14.4,12.4,23.5,0.2,3.3,0.0046\\n2019-08-14T18:00,27.4,33.8,34.8,27.5,33.9,35.4,0.2,3.6,0.0065\\n2019-09-10T19:45,34.0,40.3,39.5,34.2,40.3,39.7,3.9,1.6,0.0033\\n2019-09-13T21:45,20.1,24.4,21.3,20.3,24.5,21.4,3.2,1.8,0.0023\\n2019-11-24T16:45,13.2,11.0,15.5,13.2,11.4,15.9,0.4,3.1,0.0037\\n2020-02-27T16:30,19.3,12.3,22.4,20.0,12.7,22.5,5.3,2.9,0.0021\\n2019-08-28T10:00,14.6,14.3,22.6,14.6,15.1,23.2,0.3,4.8,0.005\\n2019-08-18T02:45,11.0,8.4,14.8,11.0,8.6,15.1,0.0,1.7,0.0027\\n2020-04-10T20:00,20.8,13.2,22.4,20.9,13.3,22.7,2.1,1.4,0.0036\\n2019-08-18T03:55,8.4,8.2,13.5,8.4,8.5,13.6,1.0,1.9,0.002\\n2019-08-18T10:30,15.9,11.1,14.4,16.0,11.3,15.0,1.0,1.8,0.0039\\n2019-08-29T06:45,13.6,9.1,17.3,13.7,9.5,17.7,1.0,2.8,0.0036\\n2019-10-08T04:30,15.4,11.3,25.3,15.7,11.7,25.4,2.8,3.1,0.0008\\n \\n CSV Table B: mlTxGdesaBg,6kQGdj2iXsU,hQKNy+86p+0,2xE2qVXr7UM,J92S/IDpPZA,eshSFvEUsMY,v3NEVV2Owbs\\nNo,1.8,31.1,33.6,33.6,4.4,0\\nNo,1.8,33.2,19.6,19.5,2.7,1\\nNo,2.6,24.5,21.0,20.9,2.7,2\\nNo,1.4,18.0,10.2,10.1,1.4,3\\nNo,0.0,0.0,0.0,0.0,0.0,4\\nSi,1.8,17.9,16.6,16.5,1.6,5\\nSi,1.2,14.6,7.7,7.6,1.2,6\\nSi,0.0,0.0,0.0,0.0,0.0,7\\nNo,2.0,12.5,7.8,7.5,0.9,8\\nNo,1.6,35.5,31.6,31.6,2.0,9\\nSi,2.0,27.2,20.7,20.6,1.4,10\\nNo,3.8,36.4,35.1,34.9,2.0,11\\nSi,1.4,17.5,11.1,11.0,2.0,12\\nSi,3.2,35.0,38.9,38.8,1.4,13\\nNo,4.0,17.6,12.9,12.3,1.5,14\\nNo,3.1,15.7,13.6,13.2,0.0,15\\nNo,4.8,32.1,23.6,23.1,5.6,16\\nNo,1.2,7.5,5.8,5.6,0.7,17\\nNo,2.1,11.2,9.3,9.1,0.0,18\\nNo,2.3,13.0,7.8,7.5,1.8,19\\n \\n Output: \\n"
] | {"RVAL1": "eshSFvEUsMY", "RVAL2": "6kQGdj2iXsU", "WL2": "J92S/IDpPZA", "VAL2": "2xE2qVXr7UM", "VAL1": "hQKNy+86p+0"} | tablejoin | 2024-06-24T00:00:00 | |
a783dc9652728632d05f85ac5f944f71ffdfb2cc9dc6ea27e21ad80a96f44e48 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: interaction_id,query_time,domain,question_type,static_or_dynamic,query,answer,alternative_answers,split,page_name\\n144bd3d2-be2b-4fcb-a,\"02/28/2024, 10:04:20\",open,simple_w_condition,static,who is the last empe,toghon temür,[],0,Yuan dynasty - Wikip\\na91df871-089c-4b91-9,\"03/19/2024, 23:17:23\",movie,simple,static,who directed bridget,beeban kidron,[],1,Bridget Jones: The E\\nc4388294-a648-414b-8,\"03/13/2024, 10:07:09\",music,multi-hop,static,who is the american ,lady gaga is the ame,[],1,Grammy Award for Son\\n0b18bc03-a372-4860-a,\"02/28/2024, 07:29:24\",finance,false_premise,fast-changing,on the day that cgi ,invalid question,[],1,Stock info GIB | CGI\\ne04341c6-c7f6-415f-b,\"03/10/2024, 21:43:12\",sports,comparison,static,which team\\'s home ar,chicago bulls,[],1,The Madhouse on Madi\\n07c155bc-34c4-4e8e-a,\"02/28/2024, 07:53:27\",finance,simple,real-time,what\\'s today\\'s curre,i don\\'t know,[],1,DCFC | Tritium DCFC \\n42fa780d-1b01-4dac-a,\"03/15/2024, 15:56:22\",sports,simple_w_condition,slow-changing,who was the leader f,brendan chardonnet,[],0,French Ligue 1 Stats\\n8a687b2a-38db-4132-8,\"03/13/2024, 09:43:37\",music,comparison,slow-changing,who has had more num,drake has had more n,[],0,Hot 100 Songs\\n1c96bf4f-a404-4982-9,\"03/17/2024, 16:46:21\",finance,simple_w_condition,static,what was the low pri,meta low stock price,[],1,\"Meta Platforms, Inc.\"\\n71af3fb4-bb37-4720-b,\"03/13/2024, 09:04:34\",finance,multi-hop,fast-changing,which company in the,the company with the,[],1,D | S&P 500 Stock | \\n655d2141-1090-4aab-8,\"03/05/2024, 23:22:11\",music,aggregation,slow-changing,how many successful ,3,[],1,\"Chris Cornell Songs,\"\\ne6b1f088-a55e-41bd-9,\"03/05/2024, 23:37:26\",movie,post-processing,slow-changing,what was the average,\"$191,671,856\",[],0,\\'Black Panther: Waka\\nb62fdd74-69ec-48e1-9,\"03/15/2024, 16:02:55\",sports,simple_w_condition,static,\"on 2022-10-12, what \",94,[],1,Charlotte Hornets ac\\n \\n CSV Table B: aONjSdwYYDk,PjOW3vib37M,N63uV44/QbQ,31Z18wvwUiM,eJJm7lex974,V9rPaOdeODk,8b3ewM26+SI,AUUii56u8tg\\n[],multi-hop,The 17 Football Club,2024-04-23T05:00:01.,1cba1106-7e25-4777-8,6040452,No,7\\n[],false_premise,Wadishewadi Dam - Wi,2024-04-23T05:00:01.,5c727dee-a307-4c15-a,6038888,No,invalid question\\n[],multi-hop,Drake Albums and Dis,2024-04-23T05:00:01.,21da19e6-56a8-439a-9,5941356,No,drake released his f\\n[],simple_w_condition,Ranking Every NBA De,2024-04-23T05:00:01.,521b6740-ce8d-4cd6-a,6040452,No,tina charles has the\\n[],simple,Trading Volume: Anal,2024-04-23T05:00:01.,76129ef6-369c-481e-a,5941356,No,119\\n[],aggregation,Marilyn Monroe\\'s Hus,2024-04-23T05:00:01.,ff7d4fd0-dccb-4d5c-8,5510456,Si,1\\n[],simple_w_condition,Miami Heat News and ,2024-04-23T05:00:01.,5c5234a3-d684-42ba-8,6040452,Si,denver nuggets\\n[],aggregation,National Football Le,2024-04-23T05:00:01.,639d2cc0-99d6-4346-a,5510456,Si,32\\n[],simple,Pitch Perfect Movie ,2024-04-23T05:00:01.,e2941d28-c26e-4d88-9,6038888,No,9/28/12\\n[],comparison,Bigger career: Adele,2024-04-23T05:00:01.,999a7f32-8a87-4026-b,5026787,No,shakira had more par\\n[],comparison,Sporting Speed Recor,2024-04-23T05:00:01.,d7bcbd24-a0fb-4139-8,6040452,Si,bolt\\n[],aggregation,Super Bowls - Dallas,2024-04-23T05:00:01.,3b9e7284-41a2-43aa-a,5510456,No,the dallas cowboys h\\n[],simple_w_condition,Kelly Gallant | Rott,2024-04-23T05:00:01.,45037240-6762-488e-a,6038888,Si,talons of the eagle\\n[],simple_w_condition,Nike Inc Stock Price,2024-04-23T05:00:01.,8135a393-aedc-4073-a,5941356,Si,$118.55\\n \\n Output: \\n"
] | {"question_type": "PjOW3vib37M", "interaction_id": "eJJm7lex974", "page_name": "N63uV44/QbQ", "answer": "AUUii56u8tg", "alternative_answers": "aONjSdwYYDk"} | tablejoin | 2024-06-24T00:00:00 | |
4d351c29bdddf5c41d59cd7bd1b70bb4d2ae2a071ada382d7690066b1cd7764c | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: :@computed_region_dqjc_k29y,:@computed_region_jdnu_jmst,:@computed_region_5d9v_6bui,permitnum,worktype,applicationtype,location,:@computed_region_mfuy_bee2,:@computed_region_2fpw_swv9,:@computed_region_9p4x_9cjt\\n,,,BLD2023-04121,Residential,Building,{'human_address': '{,,,\\n1.0,80.0,26.0,BLD2023-06991,Commercial,Building,{'latitude': '40.771,19.0,18.0,12.0\\n24.0,97.0,26.0,BLD2023-08421,Residential,Building,{'latitude': '40.713,19.0,27.0,573.0\\n12.0,67.0,26.0,BLD2023-05798,Commercial,Building,{'latitude': '40.739,19.0,26.0,358.0\\n1.0,72.0,26.0,BLD2023-07147,Commercial,Building,{'latitude': '40.762,19.0,21.0,495.0\\n23.0,68.0,26.0,BLD2023-03932,Commercial,Building,{'latitude': '40.729,19.0,24.0,243.0\\n12.0,68.0,26.0,BLD2023-06214,Residential,Building,{'latitude': '40.737,19.0,24.0,583.0\\n1.0,72.0,26.0,BLD2023-08511,Commercial,Building,{'latitude': '40.727,19.0,21.0,364.0\\n24.0,68.0,26.0,BLD2023-08557,Residential,Building,{'latitude': '40.744,19.0,24.0,244.0\\n12.0,67.0,26.0,BLD2023-06743,Commercial,Building,{'latitude': '40.734,19.0,26.0,358.0\\n \\n CSV Table B: CMSip4kAsFA,v02+v1698aE,sXpNMhZkCLA,t8DtGa8xUVw,WPAmEDDzzew,SfVC0olx/OE,MOmbowjYQ+I,hOL2mHzD+cg\\nBLD2023-06614,No,26.0,0,358.0,24591000,21.0,Commercial\\nBLD2023-06869,No,26.0,0,361.0,8334800,20.0,Residential\\nBLD2023-05395,No,26.0,0,364.0,9875400,21.0,Residential\\nBLD2023-07713,No,26.0,0,242.0,8338300,21.0,Residential\\nBLD2023-05391,No,26.0,0,364.0,8995500,21.0,Residential\\nBLD2023-02758,Si,26.0,0,474.0,8564500,20.0,Residential\\nBLD2023-06021,Si,26.0,0,357.0,8948500,21.0,Commercial\\nBLD2023-06051,Si,26.0,0,161.0,11859900,20.0,Residential\\nBLD2023-08747,No,26.0,0,14.0,16537400,24.0,Commercial\\nBLD2023-07969,No,26.0,0,573.0,11010400,27.0,Residential\\nBLD2023-05155,Si,26.0,0,567.0,7534000,21.0,Commercial\\n \\n Output: \\n"
] | {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"} | tablejoin | 2024-06-24T00:00:00 | |
44953ce33916e7caae16bbce54fbd5a4e00d438924e5e53c0b5c5765ce5a583f | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: tweet_id,airline_sentiment,airline_sentiment_confidence,negativereason,negativereason_confidence,airline,airline_sentiment_gold,name,negativereason_gold,retweet_count\\n567849102731526144,negative,1.0,Customer Service Iss,1.0,US Airways,,TerriHaisten,,0\\n568210087212388353,neutral,1.0,,,Southwest,,livvyports16,,1\\n569824906638073856,negative,1.0,Bad Flight,0.3451,United,,bmalones44,,1\\n569558589628502016,negative,0.6927,Can't Tell,0.6927,United,,4geiger,,0\\n569627744021184513,negative,1.0,Cancelled Flight,0.6673,American,,MatthewJMedlin,,0\\n568809369678315521,negative,1.0,Cancelled Flight,1.0,US Airways,,JeffreyWhitmore,,0\\n569456828511326208,negative,1.0,Late Flight,0.6478,US Airways,,CJLarcheveque,,0\\n569615736387325952,negative,1.0,Bad Flight,0.3487,Southwest,,Ekanewilliams,,0\\n568519360953716736,neutral,1.0,,,Southwest,,MikeWJZ,,1\\n569638848214507520,positive,1.0,,,Delta,,oggito17,,0\\n569275566077165568,neutral,1.0,,,United,,SallyM0nster,,0\\n569826992251473921,neutral,0.6471,,0.0,United,,ohlesliebarker,,0\\n569598614235942912,negative,1.0,Late Flight,1.0,Southwest,,BattleB_studios,,0\\n568460037737324545,neutral,1.0,,,United,,JerseyRic,,0\\n568491905903939584,negative,1.0,Customer Service Iss,0.6579,US Airways,,jekyllandheid12,,0\\n \\n CSV Table B: 3sk7jMfQzck,NYLj0y6YLFA,AG1gKyPX4RQ,QgYMUapyJlU,7dYptJU3eKE,c2A+LJlP174,6lLeTaOQ74g,DAzjs8gwVB0\\nUS Airways,0,5.0 out of 5 stars,0,24591000,,Weak,2024-04-23T05:00:01.\\nAmerican,0,5.0 out of 5 stars,0,8334800,,Weak,2024-04-23T05:00:01.\\nDelta,0,5.0 out of 5 stars,0,9875400,,Weak,2024-04-23T05:00:01.\\nAmerican,0,5.0 out of 5 stars,0,8338300,,New,2024-04-23T05:00:01.\\nUnited,0,5.0 out of 5 stars,0,8995500,,Weak,2024-04-23T05:00:01.\\nAmerican,0,4.0 out of 5 stars,0,8564500,,New,2024-04-23T05:00:01.\\nDelta,0,5.0 out of 5 stars,0,8948500,,New,2024-04-23T05:00:01.\\nUnited,0,5.0 out of 5 stars,0,11859900,,New,2024-04-23T05:00:01.\\nAmerican,0,5.0 out of 5 stars,0,16537400,,Weak,2024-04-23T05:00:01.\\nDelta,0,5.0 out of 5 stars,0,11010400,,New,2024-04-23T05:00:01.\\nUS Airways,0,5.0 out of 5 stars,0,7534000,,New,2024-04-23T05:00:01.\\nSouthwest,0,5.0 out of 5 stars,0,9818100,,Weak,2024-04-23T05:00:01.\\nAmerican,0,5.0 out of 5 stars,0,9965000,,Weak,2024-04-23T05:00:01.\\nUnited,0,5.0 out of 5 stars,0,20254600,,Good,2024-04-23T05:00:01.\\nUnited,0,5.0 out of 5 stars,1,9989300,,New,2024-04-23T05:00:01.\\n \\n Output: \\n"
] | {"airline": "3sk7jMfQzck", "negativereason_gold": "c2A+LJlP174", "retweet_count": "QgYMUapyJlU"} | tablejoin | 2024-06-24T00:00:00 | |
a9622ef291b2ff5dac8ee5335d50d52a7bc8bd9fa001130fabaf3ae3d1505100 | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: drugName,url,description\\nDexamethasone,https://www.drugs.co,dexamethasone is a c\\nGaramycin,https://www.drugs.co,garamycin is an anti\\nDicyclomine,https://www.drugs.co,dicyclomine relieves\\nOrphenadrine,https://www.drugs.co,orphenadrine is a mu\\nStrattera,https://www.drugs.co,strattera (atomoxeti\\nValsartan,https://www.drugs.co,valsartan is used to\\nSingulair,https://www.drugs.co,singulair (monteluka\\nYupelri,https://www.drugs.co,yupelri (revefenacin\\nKetoconazole,https://www.drugs.co,ketoconazole is an a\\nZolpidem,https://www.drugs.co,zolpidem is a sedati\\nVivitrol,https://www.drugs.co,vivitrol (naltrexone\\nGlimepiride,https://www.drugs.co,glimepiride is an or\\nGlucosamine,https://www.drugs.co,glucosamine is sugar\\nBasaglar,https://www.drugs.co,basaglar (insulin gl\\nAleve,https://www.drugs.co,aleve (naproxen) is \\nStelara,https://www.drugs.co,stelara (ustekinumab\\nYervoy,https://www.drugs.co,yervoy (ipilimumab) \\n \\n CSV Table B: wmYO8hwe094,7SxcDOM+98w\\neffexor xr is a sele,0\\nqdolo is: a strong p,0\\nketotifen is an anti,0\\ntoprol-xl (metoprolo,0\\namlodipine is a calc,0\\nvitamin e is an anti,0\\nprevacid (lansoprazo,0\\nferrous sulfate is a,0\\nbacitracin is an ant,0\\noxybutynin reduces m,0\\njanuvia (sitagliptin,0\\nskelaxin (metaxalone,0\\nwitch hazel is a pla,0\\ntestosterone is a na,0\\nflagyl (metronidazol,0\\nascorbic acid (vitam,0\\n\"niacin, also called \",0\\nprednisolone is a st,0\\n \\n Output: \\n"
] | {"description": "wmYO8hwe094"} | tablejoin | 2024-06-24T00:00:00 | |
0bf086ff674cfda54c0293a3ae03a3720d2d1cb755748cc4800d43b375d20a3c | data_analysis | [
"Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \\n CSV Table A: Age ,Gender,BMI,Fever,Nausea/Vomting,Headache ,Diarrhea ,Fatigue & generalized bone ache ,Jaundice ,Epigastric pain \\n59,2,25,1,1,2,2,2,1,2\\n42,1,28,2,1,2,2,2,1,1\\n61,1,27,2,2,2,2,2,2,1\\n33,2,24,2,1,1,1,2,2,2\\n38,1,29,1,1,2,2,2,1,2\\n49,2,30,2,1,1,1,1,1,2\\n42,1,35,2,1,2,1,2,2,2\\n61,2,23,2,2,1,2,1,2,1\\n34,1,26,1,2,1,2,2,1,2\\n38,1,33,2,2,2,2,2,1,2\\n54,2,30,1,2,2,1,2,2,2\\n \\n CSV Table B: oOd+cX72roM,I4BVsbooFyQ,cslDY8TWfKw,cIESFwIKxuA,F2WS20DtzCs,huCAhXWo21c,YH4pJE8EqH0\\n36,gas,1,Weak,5.0 out of 5 stars,1,6040452\\n53,gas,1,Weak,5.0 out of 5 stars,2,6038888\\n36,gas,2,Weak,5.0 out of 5 stars,2,5941356\\n47,gas,1,New,5.0 out of 5 stars,1,6040452\\n44,gas,2,Weak,5.0 out of 5 stars,1,5941356\\n53,gas,1,New,4.0 out of 5 stars,2,5510456\\n44,gas,1,New,5.0 out of 5 stars,1,6040452\\n37,gas,1,New,5.0 out of 5 stars,2,5510456\\n46,gas,1,Weak,5.0 out of 5 stars,2,6038888\\n61,gas,2,New,5.0 out of 5 stars,2,5026787\\n49,gas,2,New,5.0 out of 5 stars,1,6040452\\n37,gas,2,Weak,5.0 out of 5 stars,2,5510456\\n \\n Output: \\n"
] | {"Fever": "huCAhXWo21c", "Age ": "oOd+cX72roM", "Epigastric pain ": "cslDY8TWfKw"} | tablejoin | 2024-06-24T00:00:00 |
End of preview. Expand
in Dataset Viewer.
Dataset Card for "livebench/data_analysis"
LiveBench is a benchmark for LLMs designed with test set contamination and objective evaluation in mind. It has the following properties:
- LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses.
- Each question has verifiable, objective ground-truth answers, allowing hard questions to be scored accurately and automatically, without the use of an LLM judge.
- LiveBench currently contains a set of 18 diverse tasks across 6 categories, and we will release new, harder tasks over time. This is the instruction_following category of livebench.
See more in our paper, leaderboard, and datasheet.
- Downloads last month
- 3,629