builder
Browse files- .gitignore +71 -0
- match.ipynb +418 -0
- raw/JEOPARDY_QUESTIONS1.json.zst +3 -0
- raw/test.jsonl +0 -0
.gitignore
ADDED
@@ -0,0 +1,71 @@
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1 |
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# build artifacts
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.eggs/
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.mypy_cache
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*.egg-info/
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build/
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dist/
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pip-wheel-metadata/
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# dev tools
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.envrc
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.python-version
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.idea
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.venv/
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.vscode/
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/*.iml
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# jupyter notebooks
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.ipynb_checkpoints
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# miscellaneous
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.cache/
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doc/_build/
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*.swp
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.DS_Store
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# python
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*.pyc
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*.pyo
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__pycache__
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# testing and continuous integration
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.coverage
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.pytest_cache/
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.benchmarks
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# documentation build artifacts
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docs/build
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site/
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# runs
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/runs/
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/wandb/
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/scratch/
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# compiled rust extension
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target/
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*.so
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# macOS metadata
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.DS_Store
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# ignoring test output
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/tests/work/
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# ignore vscode directory
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.vscode
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# ignore temporary directories
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/tmp/
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/temp/
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match.ipynb
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@@ -0,0 +1,418 @@
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{
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"cells": [
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3 |
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{
|
4 |
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"cell_type": "code",
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5 |
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"execution_count": 12,
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"metadata": {},
|
7 |
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"outputs": [
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"Current working directory: /Users/lucas/Code/jeopardy\n"
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]
|
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}
|
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],
|
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"source": [
|
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"import json\n",
|
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"from string import punctuation, whitespace\n",
|
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"import os\n",
|
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"from copy import deepcopy\n",
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"from hashlib import md5\n",
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22 |
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"import re\n",
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"from functools import reduce\n",
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"import datasets\n",
|
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"import smart_open\n",
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"\n",
|
27 |
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"punctuation, whitespace = map(set, [punctuation, whitespace])\n",
|
28 |
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"print(f\"Current working directory: {os.getcwd()}\")"
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29 |
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]
|
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},
|
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{
|
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"cell_type": "code",
|
33 |
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"execution_count": 13,
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"metadata": {},
|
35 |
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"outputs": [],
|
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"source": [
|
37 |
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"with smart_open.open(\"raw/test.jsonl\", \"r\") as f:\n",
|
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" new_questions_raw = [json.loads(line) for line in f]\n",
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39 |
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" new_questions = {''.join([ch for ch in f\"{q['context']} {q['continuation']}\" if ch not in punctuation and ch not in whitespace]): q for q in new_questions_raw}\n",
|
40 |
+
"\n",
|
41 |
+
"with smart_open.open(\"raw/JEOPARDY_QUESTIONS1.json.zst\", \"r\") as f:\n",
|
42 |
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" old_questions_raw = json.load(f)"
|
43 |
+
]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 3,
|
48 |
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"metadata": {},
|
49 |
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"outputs": [],
|
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"source": [
|
51 |
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"double_quote, single_quote = '\"', \"'\"\n",
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"\n",
|
53 |
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"actually_to_fix = {\n",
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54 |
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" \"White alba\": \"White\",\n",
|
55 |
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" \"The Netherlands Holland\": \"The Netherlands\",\n",
|
56 |
+
" \"Peter I Peter the Great\": \"Peter I\",\n",
|
57 |
+
" \"Russia or the Soviet Union\": \"Russia\",\n",
|
58 |
+
" \"Ramses the Great\": \"Ramses\",\n",
|
59 |
+
" \"a bar or a saloon\": \"a bar\",\n",
|
60 |
+
" \"West Virginia paid debt to Virginia\": \"West Virginia\",\n",
|
61 |
+
" \"Robert Fulton\": \"Fulton\",\n",
|
62 |
+
" \"CIA Central Intelligence Agency\": \"CIA\",\n",
|
63 |
+
" \"NATO North Atlantic Treaty Organisation\": \"NATO\",\n",
|
64 |
+
" \"NRA National Recovery Administration\": \"NRA\",\n",
|
65 |
+
" \"the ERA Equal Rights Amendment\": \"the ERA\",\n",
|
66 |
+
" \"Ford\\'s Theatre the Ford Theatre accepted\": \"Fords Theatre\",\n",
|
67 |
+
" \"NATO North Atlantic Treaty Organization\": \"NATO\",\n",
|
68 |
+
" \"Lyndon Johnson LBJ\": \"Lyndon Johnson\",\n",
|
69 |
+
" \"Lewis Carroll Charles L. Dodgson\": \"Lewis Carroll\",\n",
|
70 |
+
" \"Tropic of Cancer by Henry Miller\": \"Tropic of Cancer\",\n",
|
71 |
+
" \"an inclined plane ramp later ruled acceptable\": \"an inclined plane\",\n",
|
72 |
+
" \"nitrous oxide or laughing gas\": \"nitrous oxide\",\n",
|
73 |
+
" \"dividing splitting in two\": \"dividing\",\n",
|
74 |
+
" \"monosodium glutamate or MSG\": \"monosodium glutamate\",\n",
|
75 |
+
" \"carbohydrates or starches\": \"carbohydrates\",\n",
|
76 |
+
" \"vamoose vamonos\": \"vamoose\",\n",
|
77 |
+
" \"Dunce from John Duns Scotus\": \"Dunce\",\n",
|
78 |
+
" \"The People's Republic of China\": \"China\",\n",
|
79 |
+
" \"The People\\\\'s Republic of China\": \"China\",\n",
|
80 |
+
" \"Mary Stuart Mary, Queen of Scots\": \"Mary Stuart\",\n",
|
81 |
+
" \"Robert F. Kennedy Attorney General\": \"Robert F. Kennedy\",\n",
|
82 |
+
" \"Ford\\\\'s Theatre the Ford Theatre accepted\": \"Fords Theatre\",\n",
|
83 |
+
" \"The Stranger L\\\\'Etranger\": \"The Stranger\",\n",
|
84 |
+
" \"Côte d\\\\'Ivoire or the Ivory Coast\": \"Côte d'Ivoire\",\n",
|
85 |
+
" \"Henry David Thoreau\": \"Thoreau\",\n",
|
86 |
+
" \"escaping the Earth\\\\'s gravity and go off into outer space, on your way to the moon, for instance\":\"escaping the Earths gravity\",\n",
|
87 |
+
" \"Ernst Mach\": \"Mach\",\n",
|
88 |
+
" \"talons or claws\": \"talons\",\n",
|
89 |
+
" \"Mall from Pall Mall\": \"Mall\",\n",
|
90 |
+
" \"Crony from the Greek god Cronus\": \"Crony\",\n",
|
91 |
+
" \"hurry or quick or fast\": \"hurry\",\n",
|
92 |
+
" \"Dr. Samuel Mudd\": \"Mudd\",\n",
|
93 |
+
" \"Anniversary annus - year & verso - turn\": \"Anniversary\",\n",
|
94 |
+
"}\n",
|
95 |
+
"\n",
|
96 |
+
"replacements = {\n",
|
97 |
+
" \"White alba\": \"White\",\n",
|
98 |
+
" \"Valentina Tereshkova\": \"Tereshkova\",\n",
|
99 |
+
" \"Mikhail Gorbachev\": \"Gorbachev\",\n",
|
100 |
+
" \"Admiral Byrd\": \"Byrd\",\n",
|
101 |
+
" \"Red China\": \"China\",\n",
|
102 |
+
" \"The Netherlands Holland\": \"The Netherlands\",\n",
|
103 |
+
" \"Heinrich Schliemann\": \"Schliemann\",\n",
|
104 |
+
" \"Peter I Peter the Great\": \"Peter I\",\n",
|
105 |
+
" \"Russia or the Soviet Union\": \"Russia\",\n",
|
106 |
+
" \"Ferdinand II\": \"Ferdinand\",\n",
|
107 |
+
" \"Ramses the Great\": \"Ramses\",\n",
|
108 |
+
" \"Jose de San Martin\": \"San Martin\",\n",
|
109 |
+
" \"Douglas McArthur\": \"McArthur\",\n",
|
110 |
+
" \"Rutherford B. Hayes\": \"Hayes\",\n",
|
111 |
+
" \"Peter Stuyvesant\": \"Stuyvesant\",\n",
|
112 |
+
" \"a bar or a saloon\": \"a bar \",\n",
|
113 |
+
" \"West Virginia paid debt to Virginia\": \"West Virginia \",\n",
|
114 |
+
" \"Robert Fulton\": \"Fulton\",\n",
|
115 |
+
" \"CIA Central Intelligence Agency\": \"CIA \",\n",
|
116 |
+
" # remove later\n",
|
117 |
+
" \"1 of want, speech, religion, or fear\": \"1 of \",\n",
|
118 |
+
" \"James Madison\": \"Madison\",\n",
|
119 |
+
" \"Alger Hiss\": \"Hiss\",\n",
|
120 |
+
" \"NATO North Atlantic Treaty Organisation\": \"NATO \",\n",
|
121 |
+
" \"James Oglethorpe\": \"Oglethorpe\",\n",
|
122 |
+
" \"NRA National Recovery Administration\": \"NRA \",\n",
|
123 |
+
" \"the ERA Equal Rights Amendment\": \"the ERA \",\n",
|
124 |
+
" \"Ford\\'s Theatre the Ford Theatre accepted\": \"Fords Theatre \",\n",
|
125 |
+
" \"NATO North Atlantic Treaty Organization\": \"NATO \",\n",
|
126 |
+
" \"Lyndon Johnson LBJ\": \"Lyndon Johnson \",\n",
|
127 |
+
" \"Nathaniel Hawthorne\": \"Hawthorne\",\n",
|
128 |
+
" \"Lewis Carroll Charles L. Dodgson\": \"Lewis Carroll\",\n",
|
129 |
+
" \"Tropic of Cancer by Henry Miller\": \"Tropic of Cancer\",\n",
|
130 |
+
" \"James Fenimore Cooper\": \"Cooper\",\n",
|
131 |
+
" \"Rudyard Kipling\": \"Kipling\",\n",
|
132 |
+
" \"William Burroughs\": \"Burroughs\",\n",
|
133 |
+
" \"purple Riders of the Purple Sage\": \"purple\",\n",
|
134 |
+
" \"Sir Arthur Conan Doyle\": \"Doyle\",\n",
|
135 |
+
" \"Samuel Beckett\": \"Beckett\",\n",
|
136 |
+
" \"Percy Shelley\": \"Shelley\",\n",
|
137 |
+
" \"an inclined plane ramp later ruled acceptable\": \"an inclined plane\",\n",
|
138 |
+
" \"nitrous oxide or laughing gas\": \"nitrous oxide\",\n",
|
139 |
+
" \"dividing splitting in two\": \"dividing\",\n",
|
140 |
+
" \"Edward Jenner\": \"Jenner\",\n",
|
141 |
+
" \"Spiral\": \"Spiral\",\n",
|
142 |
+
" \"monosodium glutamate or MSG\": \"monosodium glutamate\",\n",
|
143 |
+
" \"carbohydrates or starches\": \"carbohydrates\",\n",
|
144 |
+
" \"Dog Laika\": \"Dog\",\n",
|
145 |
+
" \"Horse Mare\": \"Horse\",\n",
|
146 |
+
" \"Sir Isaac Newton\": \"Newton\",\n",
|
147 |
+
" \"vamoose vamonos\": \"vamoose\",\n",
|
148 |
+
" \"Dunce from John Duns Scotus\": \"Dunce\",\n",
|
149 |
+
" \"The People's Republic of China\": \"China\",\n",
|
150 |
+
" \"The People\\\\'s Republic of China\": \"China\",\n",
|
151 |
+
" \"Mary Stuart Mary, Queen of Scots\": \"Mary Stuart\",\n",
|
152 |
+
" \"Tomás de Torquemada\": \"Torquemada\",\n",
|
153 |
+
" \"Robert F. Kennedy Attorney General\": \"Robert F. Kennedy\",\n",
|
154 |
+
" \"Ford\\\\'s Theatre the Ford Theatre accepted\": \"Fords Theatre \",\n",
|
155 |
+
" \"Alexandre Dumas\": \"Dumas\",\n",
|
156 |
+
" 'Percy Bysshe Shelley': \"Shelley\",\n",
|
157 |
+
" \"The Stranger L\\\\'Etranger\": \"The Stranger\",\n",
|
158 |
+
" \"Rudyard Kipling\": \"Kipling\",\n",
|
159 |
+
" \"Elizabeth I\": \"Elizabeth\",\n",
|
160 |
+
" \"Pearl Buck\": \"Buck\",\n",
|
161 |
+
" \"Theodore Dreiser\": \"Dreiser\",\n",
|
162 |
+
" \"Geoffrey Chaucer\": \"Chaucer\",\n",
|
163 |
+
" \"John Updike\": \"Updike\",\n",
|
164 |
+
" \"Côte d\\\\'Ivoire or the Ivory Coast\": \"Côte dIvoire\",\n",
|
165 |
+
" \"Henry David Thoreau\": \"Thoreau\",\n",
|
166 |
+
" \"escaping the Earth\\\\'s gravity and go off into outer space, on your way to the moon, for instance\":\"escaping the Earths gravity\",\n",
|
167 |
+
" \"Ernst Mach\": \"Mach\",\n",
|
168 |
+
" \"talons or claws\": \"talons\",\n",
|
169 |
+
" \"Mall from Pall Mall\": \"Mall\",\n",
|
170 |
+
" \"Crony from the Greek god Cronus\": \"Crony\",\n",
|
171 |
+
" \"hurry or quick or fast\": \"hurry\",\n",
|
172 |
+
" \"Dr. Samuel Mudd\": \"Mudd\",\n",
|
173 |
+
" \"Anniversary annus - year & verso - turn\": \"Anniversary\",\n",
|
174 |
+
"}\n",
|
175 |
+
"\n",
|
176 |
+
"reversed_replacements = {\n",
|
177 |
+
" \"3430-c34791\": {\"Hayes\": \"Rutherford B. Hayes\"},\n",
|
178 |
+
" # \"5098-f4fecb\": {\"Ford\\'s Theatre the Ford Theatre accepted\": \"Fords Theatre \"},\n",
|
179 |
+
" \"3786-565e32\": {\"Beckett\": \"Samuel Beckett\"},\n",
|
180 |
+
" \"4956-718970\": {\"nitrous oxide\": \"nitrous oxide\"},\n",
|
181 |
+
" \"3601-8602cf\": {\"Spiral\": \"Spiral\"},\n",
|
182 |
+
" \"3444-401076\": {\"Newton\": \"Sir Isaac Newton\"},\n",
|
183 |
+
" \"2543-59f257\": {\"Newton\": \"Sir Isaac Newton\"},\n",
|
184 |
+
" \"1906-9014ac\": {\"Kipling\": \"Rudyard Kipling\"},\n",
|
185 |
+
" \"2635-70b5a3\": {\"Kipling\": \"Rudyard Kipling\"},\n",
|
186 |
+
" \"3160-7a4598\": {\"Kipling\": \"Rudyard Kipling\"},\n",
|
187 |
+
" \"2958-433cff\": {\"Kipling\": \"Rudyard Kipling\"},\n",
|
188 |
+
" \"4627-76ba39\": {\"Kipling\": \"Rudyard Kipling\"},\n",
|
189 |
+
" \"4968-d9d217\": {\"Buck\": \"Pearl Buck\"},\n",
|
190 |
+
" \"2866-b796c5\": {\"Cooper\": \"James Fenimore Cooper\"},\n",
|
191 |
+
" \"2927-c6e128\": {\"Cooper\": \"James Fenimore Cooper\"},\n",
|
192 |
+
" \"2841-5fbe33\": {\"Updike\": \"John Updike\"},\n",
|
193 |
+
"\n",
|
194 |
+
"}\n",
|
195 |
+
"\n",
|
196 |
+
"context_replacements = {\n",
|
197 |
+
" \"Asia's population giant\": \"Asias population giant\",\n",
|
198 |
+
" \"Spain's Phillip II\": \"Spains Phillip II\",\n",
|
199 |
+
" \"It's been estimated that this grand inquisitor\": \"Its been estimated that this grand inquisitor\",\n",
|
200 |
+
" 'He wrote \"The 3 Musketeers\"; his son wrote \"Camille\"': \"He wrote The 3 Musketeers; his son wrote Camille\",\n",
|
201 |
+
" 'Hmm... he dedicated his 1820 poem \"The Witch of Atlas\" to his wife Mary': \"Hmm... he dedicated his 1820 poem The Witch of Atlas to his wife Mary\",\n",
|
202 |
+
" 'This 1942 French novel begins, \"Mother died today. Or, maybe, yesterday; I can\\'t be sure.\"': 'This 1942 French novel begins, Mother died today. Or, maybe, yesterday; I cant be sure.',\n",
|
203 |
+
" \"Mowgli's song Against People appears in this author's Second Jungle Book\": \"Mowglis song Against People appears in this authors Second Jungle Book\",\n",
|
204 |
+
" 'Wordsworth\\'s poem about her begins, \"Hail, Virgin Queen! O\\'er many an envious bar triumphant\"': \"Wordsworths poem about her begins, Hail, Virgin Queen! Oer many an envious bar triumphant\",\n",
|
205 |
+
" 'Mercedes of Castile is a lesser-known novel by this author of \"The Leather-Stocking Tales\"': \"Mercedes of Castile is a lesser-known novel by this author of The Leather-Stocking Tales\",\n",
|
206 |
+
" '\"The Knight\\'s Tale\" by this 14th century author is based on Boccaccio\\'s poem': 'The Knights Tale by this 14th century author is based on Boccaccios poem',\n",
|
207 |
+
" 'He wrote \"Bech: A Book\", Bech Is Back & Bech At Bay in addition to his Rabbit novels': 'He wrote Bech: A Book, Bech Is Back & Bech At Bay in addition to his Rabbit novels',\n",
|
208 |
+
" \"Bernard Binlin Dadie's novel Climbie depicts this Ivorian country, his homeland, during colonial times\": \"Bernard Binlin Dadies novel Climbie depicts this Ivorian country, his homeland, during colonial times\",\n",
|
209 |
+
" 'His Jungle Book prose begins, \"It was seven o\\'clock of a very warm evening in the Seeonee Hills...\"': \"His Jungle Book prose begins, It was seven oclock of a very warm evening in the Seeonee Hills...\"\n",
|
210 |
+
"}\n",
|
211 |
+
"\n",
|
212 |
+
"reversed_context_replacements = {}\n",
|
213 |
+
"\n",
|
214 |
+
"old_questions = []\n",
|
215 |
+
"for q in old_questions_raw:\n",
|
216 |
+
" nq = deepcopy(q)\n",
|
217 |
+
" question = q['question'].strip(single_quote)\n",
|
218 |
+
"\n",
|
219 |
+
" # Remove hyperlinks from the question, keeping only the text between the tags\n",
|
220 |
+
" if '<a' in question and '</a>' in question:\n",
|
221 |
+
" question = re.sub(r'<a[^>]*>(.*?)</a>', r'\\1', question)\n",
|
222 |
+
"\n",
|
223 |
+
" # Remove accidental backslashes from the question\n",
|
224 |
+
" question = question.replace('\\\\', '')\n",
|
225 |
+
"\n",
|
226 |
+
" # Remove text within parentheses from the question\n",
|
227 |
+
" light_edit_question = question = re.sub(r'(\\s*)\\([^)]*\\)\\s*', r'\\1', question).strip()\n",
|
228 |
+
"\n",
|
229 |
+
" # Remove text within double quotes from the question\n",
|
230 |
+
" question = re.sub(r'\"([^\"]+)\"', r'\\1', question).strip()\n",
|
231 |
+
"\n",
|
232 |
+
" # Remove aphostrophies from the question\n",
|
233 |
+
" question = re.sub(r\"(\\w+)'(\\w+)\", r'\\1\\2', question).strip()\n",
|
234 |
+
"\n",
|
235 |
+
" nq['context'] = f\"{q['category'].replace(double_quote, '')}: {question}\"\n",
|
236 |
+
" for k, v in context_replacements.items():\n",
|
237 |
+
" if k in nq['context']:\n",
|
238 |
+
" nq['context'] = nq['context'].replace(k, v)\n",
|
239 |
+
"\n",
|
240 |
+
" nq[\"ee-question\"] = light_edit_question\n",
|
241 |
+
" nq[\"ee-continuation\"] = reduce(\n",
|
242 |
+
" lambda x, y: x.replace(y[0], y[1]),\n",
|
243 |
+
" replacements.items(),\n",
|
244 |
+
" light_edit_question\n",
|
245 |
+
" )\n",
|
246 |
+
" nq[\"ee-category\"] = q['category']\n",
|
247 |
+
"\n",
|
248 |
+
" nq['continuation'] = replacements.get((c := q['answer'].replace('(', '').replace(')', '')), c)\n",
|
249 |
+
" nq['category'] = \"\".join([ch for ch in q['category'] if ch not in punctuation]).lower().replace(' ', '_')\n",
|
250 |
+
" nq['id'] = f\"{q['show_number']}-{md5(json.dumps(q).encode('utf-8')).hexdigest()[:6]}\"\n",
|
251 |
+
" nq['og-category'] = q['category']\n",
|
252 |
+
" for k, v in reversed_replacements.get(nq['id'], {}).items():\n",
|
253 |
+
" nq['continuation'] = nq['continuation'].replace(k, v)\n",
|
254 |
+
" for k, v in reversed_context_replacements.get(nq['id'], {}).items():\n",
|
255 |
+
" nq['context'] = v\n",
|
256 |
+
" old_questions.append(nq)"
|
257 |
+
]
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"cell_type": "code",
|
261 |
+
"execution_count": 5,
|
262 |
+
"metadata": {},
|
263 |
+
"outputs": [
|
264 |
+
{
|
265 |
+
"name": "stdout",
|
266 |
+
"output_type": "stream",
|
267 |
+
"text": [
|
268 |
+
"Missing: 0\n"
|
269 |
+
]
|
270 |
+
}
|
271 |
+
],
|
272 |
+
"source": [
|
273 |
+
"new_categories = set([q['category'] for q in new_questions.values()])\n",
|
274 |
+
"old_questions_subset = {''.join([ch for ch in f\"{q['context']} {q['continuation']}\" if ch not in punctuation and ch not in whitespace]):q for q in [q for q in old_questions if q['category'] in new_categories]}\n",
|
275 |
+
"\n",
|
276 |
+
"missing = [{**v, 'key': k} for k, v in new_questions.items() if k not in old_questions_subset]\n",
|
277 |
+
"print(f\"Missing: {len(missing)}\")\n",
|
278 |
+
"for m in missing:\n",
|
279 |
+
" print(m['context'])\n",
|
280 |
+
" print(m['continuation'])\n",
|
281 |
+
" break\n",
|
282 |
+
"\n",
|
283 |
+
"# print('-----')\n",
|
284 |
+
"# query = ' '.join(m['context'].split(':', 1)[1].split(' ')[5:9]).strip()\n",
|
285 |
+
"# for row in [o for o in old_questions if query in o['question']]:\n",
|
286 |
+
"# print(row['id'])\n",
|
287 |
+
"# print(f\"{row['context']} {'SAME' if row['context'] == m['context'] else 'DIFFERENT'}\")\n",
|
288 |
+
"# print(f\"{row['continuation']} {'SAME' if row['continuation'] == m['continuation'] else 'DIFFERENT'}\")\n",
|
289 |
+
"# print()"
|
290 |
+
]
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"cell_type": "code",
|
294 |
+
"execution_count": 10,
|
295 |
+
"metadata": {},
|
296 |
+
"outputs": [
|
297 |
+
{
|
298 |
+
"data": {
|
299 |
+
"application/vnd.jupyter.widget-view+json": {
|
300 |
+
"model_id": "33f3bd1d30d54874b990c17e34b44bb8",
|
301 |
+
"version_major": 2,
|
302 |
+
"version_minor": 0
|
303 |
+
},
|
304 |
+
"text/plain": [
|
305 |
+
"Uploading the dataset shards: 0%| | 0/1 [00:00<?, ?it/s]"
|
306 |
+
]
|
307 |
+
},
|
308 |
+
"metadata": {},
|
309 |
+
"output_type": "display_data"
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"data": {
|
313 |
+
"application/vnd.jupyter.widget-view+json": {
|
314 |
+
"model_id": "17dae484d5ef4a7bb1b2204da34da4ca",
|
315 |
+
"version_major": 2,
|
316 |
+
"version_minor": 0
|
317 |
+
},
|
318 |
+
"text/plain": [
|
319 |
+
"Creating parquet from Arrow format: 0ba [00:00, ?ba/s]"
|
320 |
+
]
|
321 |
+
},
|
322 |
+
"metadata": {},
|
323 |
+
"output_type": "display_data"
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"name": "stderr",
|
327 |
+
"output_type": "stream",
|
328 |
+
"text": [
|
329 |
+
"No files have been modified since last commit. Skipping to prevent empty commit.\n"
|
330 |
+
]
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"data": {
|
334 |
+
"application/vnd.jupyter.widget-view+json": {
|
335 |
+
"model_id": "491d1a420a6246fb9d74201437e0d490",
|
336 |
+
"version_major": 2,
|
337 |
+
"version_minor": 0
|
338 |
+
},
|
339 |
+
"text/plain": [
|
340 |
+
"Uploading the dataset shards: 0%| | 0/1 [00:00<?, ?it/s]"
|
341 |
+
]
|
342 |
+
},
|
343 |
+
"metadata": {},
|
344 |
+
"output_type": "display_data"
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"data": {
|
348 |
+
"application/vnd.jupyter.widget-view+json": {
|
349 |
+
"model_id": "ea3ec39f1ba145c6a5457bc34912cf72",
|
350 |
+
"version_major": 2,
|
351 |
+
"version_minor": 0
|
352 |
+
},
|
353 |
+
"text/plain": [
|
354 |
+
"Creating parquet from Arrow format: 0%| | 0/217 [00:00<?, ?ba/s]"
|
355 |
+
]
|
356 |
+
},
|
357 |
+
"metadata": {},
|
358 |
+
"output_type": "display_data"
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"data": {
|
362 |
+
"text/plain": [
|
363 |
+
"CommitInfo(commit_url='https://huggingface.co/datasets/soldni/jeopardy/commit/1618cf7f59f5e0a5132eb99cd43b3180e359fe78', commit_message='Upload dataset', commit_description='', oid='1618cf7f59f5e0a5132eb99cd43b3180e359fe78', pr_url=None, pr_revision=None, pr_num=None)"
|
364 |
+
]
|
365 |
+
},
|
366 |
+
"execution_count": 10,
|
367 |
+
"metadata": {},
|
368 |
+
"output_type": "execute_result"
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"source": [
|
372 |
+
"all_questions = []\n",
|
373 |
+
"mosaicml_gauntlet = []\n",
|
374 |
+
"for row in old_questions:\n",
|
375 |
+
" key = ' '.join([ch for ch in f\"{row['context']} {row['continuation']}\" if ch not in punctuation and ch not in whitespace])\n",
|
376 |
+
" all_questions.append(row)\n",
|
377 |
+
" row['mosaicml_gauntlet'] = key in new_questions\n",
|
378 |
+
" if row['mosaicml_gauntlet']:\n",
|
379 |
+
" mosaicml_gauntlet.append(row)\n",
|
380 |
+
"\n",
|
381 |
+
"mosaicml_gauntlet_dataset = datasets.Dataset.from_list(mosaicml_gauntlet)\n",
|
382 |
+
"all_questions_dataset = datasets.Dataset.from_list(all_questions)\n",
|
383 |
+
"\n",
|
384 |
+
"mosaicml_gauntlet_dataset.push_to_hub(\n",
|
385 |
+
" \"soldni/jeopardy\",\n",
|
386 |
+
" config_name=\"mosaicml_gauntlet\",\n",
|
387 |
+
" data_dir=\"data/mosaicml_gauntlet\"\n",
|
388 |
+
")\n",
|
389 |
+
"all_questions_dataset.push_to_hub(\n",
|
390 |
+
" \"soldni/jeopardy\",\n",
|
391 |
+
" config_name=\"all_questions\",\n",
|
392 |
+
" data_dir=\"data/all_questions\"\n",
|
393 |
+
")\n"
|
394 |
+
]
|
395 |
+
}
|
396 |
+
],
|
397 |
+
"metadata": {
|
398 |
+
"kernelspec": {
|
399 |
+
"display_name": "dolma",
|
400 |
+
"language": "python",
|
401 |
+
"name": "python3"
|
402 |
+
},
|
403 |
+
"language_info": {
|
404 |
+
"codemirror_mode": {
|
405 |
+
"name": "ipython",
|
406 |
+
"version": 3
|
407 |
+
},
|
408 |
+
"file_extension": ".py",
|
409 |
+
"mimetype": "text/x-python",
|
410 |
+
"name": "python",
|
411 |
+
"nbconvert_exporter": "python",
|
412 |
+
"pygments_lexer": "ipython3",
|
413 |
+
"version": "3.11.9"
|
414 |
+
}
|
415 |
+
},
|
416 |
+
"nbformat": 4,
|
417 |
+
"nbformat_minor": 2
|
418 |
+
}
|
raw/JEOPARDY_QUESTIONS1.json.zst
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1e5f60ba1add9d242c6d78ad74dae10002fc2a492a769efc7df9530640cb25a7
|
3 |
+
size 8613817
|
raw/test.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|