Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Sub-tasks:
open-domain-qa
Languages:
English
Size:
1M - 10M
License:
id
int64 0
6.42M
| clue
stringlengths 1
130k
⌀ | answer
stringlengths 1
52
⌀ |
|---|---|---|
0 | Carol's about to tolerate bad language | swearing |
1 | Explorer or actor Sebastian | cabot |
2 | TV talk pioneer | paar |
3 | Utter failure, figuratively | lead balloon |
4 | Ages and ages | e on |
5 | Denmark, a hyperactive place with a platform for free speech | Hyde Park |
6 | Clean-up target | mess |
7 | Archaic negative. | nill |
8 | People slaloming | skiers |
9 | Man who runs a wine-shop | Bodeguero |
10 | Late resident of Doorn. | Kaiser |
11 | What's up, in Portuguese | eai |
12 | - Ark | no ahs |
13 | Done, in poetry | oer |
14 | Bill Moyers speech on income inequality in America, with "The" | fightofourlives |
15 | Started a film scene gradually | faded in |
16 | Bitter salad veggie | endive |
17 | Unpopular insulation | asbestos |
18 | Pearl container (wordplay) | oyster |
19 | Raft user | poler |
20 | Brian ___. | Boru |
21 | Back to the Future destination | past |
22 | Rioting blamed for uproar | Bedlam |
23 | Great ___. | Scott |
24 | Plaintiff | accuser |
25 | More than simmering | aboil |
26 | House-warming method | gas heat |
27 | ___ finger (pointer) | index |
28 | Minn. neighbor | sdak |
29 | West of Broadway. | mae |
30 | Thick-coated spitz type of dog originally from China | chow |
31 | Unaspirated wood tillers | elms |
32 | ___ Sea (Italy/Greece separator) | ionian |
33 | Ham or beef | meat |
34 | Ukraine river | donets |
35 | Subatomic bit | electron |
36 | In a mournful manner | sadly |
37 | Prod. | urge |
38 | Conductor's beginning (wordplay) | semi |
39 | Give a joint prize (wordplay) | reward pot |
40 | Downloadable patch | bug fix |
41 | Foolery, sir, does walk about the ___ like the sun (Shakespeare) | or b |
42 | Car with old sound | audio |
43 | Will he at last bury his type of work (wordplay) | printer |
44 | Cash | lolly |
45 | ___ Paese (cheese choice) | bel |
46 | Counting-out words for George | eenymeanymineymo |
47 | Take flight. | wing |
48 | Potato sack race, essentially (wordplay) | hop against hop |
49 | Cell fragment in the blood, important for clotting | platelet |
50 | Cultural matters, with "the" | arts |
51 | Shape of some docks | ell |
52 | G.O.P. name. | Nixon |
53 | Piece | gun |
54 | Cape, in place names. | ness |
55 | Many an article by Ronnie on fruit | citron |
56 | Reportedly flog prisoner probably in here | cell |
57 | Scantlings. | studs |
58 | Priscilla Mullens John | Alden |
59 | Important people | lions |
60 | Pool game with 21 balls | snooker |
61 | Quickly Slang. | PDO |
62 | Huge format | imax |
63 | It comes in a small box | ring |
64 | Set in a groove | dado |
65 | Boy present for a musical performance | sonata |
66 | This bus might get one down before this | ere |
67 | Medical drama locales abbreviation | ers |
68 | Sixth-century date. | DXI |
69 | Google or Dropbox offering | free storage |
70 | Cauterizes | sears |
71 | Like the smell of burning rubber | a crid |
72 | Sound made after breaking out (wordplay) | Peep |
73 | Amass | rake in |
74 | Fish that yields caviare | sturgeon |
75 | Cheers Span. | oles |
76 | ___ in Calico: Crosby song | a gal |
77 | Blazingly bright | aglare |
78 | Walter Reed rms. | or s |
79 | Steel Ger | stahl |
80 | Ex-N.J. Governor | kean |
81 | Maintain once more the RAs among the trees | reassert |
82 | Enthusiastic about | in to |
83 | Inspector's employer abbreviation | usda |
84 | With a bow, on a score | arco |
85 | Lost no time | raced |
86 | Mean persons | caitiffs |
87 | Pizza party leftovers | crusts |
88 | Obscenities | fletter words |
89 | Energetic one | dynamo |
90 | Texans' organization | NFL |
91 | Figures on the score board. | runs |
92 | It may not include a kiss | first date |
93 | Swampy forest region of Siberia. | urman |
94 | TV princess of Amphipolis | xena |
95 | Divides equally | bisects |
96 | Former president of Romania | Iliescu |
97 | Cast member of a play | stage actor |
98 | Controversial wiretapping group | nsa |
99 | The greatest follower of Buddhism initially in southeast Asia | bali |
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Dataset Card for CrosswordQA
Dataset Summary
The CrosswordQA dataset is a set of over 6 million clue-answer pairs scraped from the New York Times and many other crossword publishers. The dataset was created to train the Berkeley Crossword Solver's QA model. See our paper for more information. Answers are automatically segmented (e.g., BUZZLIGHTYEAR -> Buzz Lightyear), and thus may occasionally be segmented incorrectly.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
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Dataset Structure
Data Instances
{
"id": 0,
"clue": "Clean-up target",
"answer": "mess"
}
Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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