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Datasets:
GEM
/
sportsett_basketball

Tasks:
Table to Text
Modalities:
Text
Languages:
English
Size:
1K - 10K
Tags:
data-to-text
Libraries:
Datasets
License:
Dataset card Viewer Files Community
5
ashishu007 commited on
Commit
499250a
•
1 Parent(s): a36901f

add json files

Browse files
Files changed (5) hide show
  1. .gitattributes +3 -0
  2. sportsett_basketball.py +584 -0
  3. test.json +3 -0
  4. train.json +3 -0
  5. validation.json +3 -0
.gitattributes CHANGED
@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ validation.json filter=lfs diff=lfs merge=lfs -text
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+ test.json filter=lfs diff=lfs merge=lfs -text
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+ train.json filter=lfs diff=lfs merge=lfs -text
sportsett_basketball.py ADDED
@@ -0,0 +1,584 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """TODO: Add a description here."""
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+
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+
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+ import csv
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+ import json
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+ import os
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+
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+ import datasets
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+
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+
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+ # TODO: Add BibTeX citation
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+ # Find for instance the citation on arxiv or on the dataset repo/website
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+ _CITATION = """\
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+ @inproceedings{thomson-etal-2020-sportsett,
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+ title = "{S}port{S}ett:Basketball - A robust and maintainable data-set for Natural Language Generation",
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+ author = "Thomson, Craig and
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+ Reiter, Ehud and
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+ Sripada, Somayajulu",
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+ booktitle = "Proceedings of the Workshop on Intelligent Information Processing and Natural Language Generation",
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+ month = sep,
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+ year = "2020",
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+ address = "Santiago de Compostela, Spain",
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+ publisher = "Association for Computational Lingustics",
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+ url = "https://aclanthology.org/2020.intellang-1.4",
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+ pages = "32--40",
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+ }
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+ """
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+
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+ # TODO: Add description of the dataset here
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+ # You can copy an official description
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+ _DESCRIPTION = """\
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+ SportSett:Basketball dataset for Data-to-Text Generation contains NBA games stats aligned with their human written summaries.
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+ """
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+
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+ # TODO: Add a link to an official homepage for the dataset here
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+ _HOMEPAGE = "https://github.com/nlgcat/sport_sett_basketball"
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+
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+ # TODO: Add the licence for the dataset here if you can find it
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+ _LICENSE = ""
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+
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+ # TODO: Add link to the official dataset URLs here
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+ # The HuggingFace dataset library don't host the datasets but only point to the original files
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+ # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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+ _URLs = {
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+ "train": "train.json",
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+ "validation": "validation.json",
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+ "test": "test.json"
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+ }
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+
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+
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+ # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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+ class SportSettBasketball(datasets.GeneratorBasedBuilder):
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+ """SportSett:Basketball datatset for Data-to-Text Generation."""
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+
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+ VERSION = datasets.Version("1.1.0")
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+
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+ def _info(self):
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+ features = datasets.Features(
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+ {
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+ "sportsett_id": datasets.Value("string"),
75
+ "gem_id": datasets.Value("string"),
76
+ "game": {
77
+ "day": datasets.Value("string"),
78
+ "month": datasets.Value("string"),
79
+ "year": datasets.Value("string"),
80
+ "dayname": datasets.Value("string"),
81
+ "season": datasets.Value("string"),
82
+ "stadium": datasets.Value("string"),
83
+ "city": datasets.Value("string"),
84
+ "state": datasets.Value("string"),
85
+ "attendance": datasets.Value("string"),
86
+ "capacity": datasets.Value("string"),
87
+ "game_id": datasets.Value("string")
88
+ },
89
+ "teams": {
90
+ "home": {
91
+ "name": datasets.Value("string"),
92
+ "place": datasets.Value("string"),
93
+ "conference": datasets.Value("string"),
94
+ "division": datasets.Value("string"),
95
+ "wins": datasets.Value("string"),
96
+ "losses": datasets.Value("string"),
97
+ "conference_standing": datasets.Value("int32"),
98
+ "game_number": datasets.Value("string"),
99
+ "previous_game_id": datasets.Value("string"),
100
+ "next_game_id": datasets.Value("string"),
101
+ "line_score": {
102
+ "game": {
103
+ "FG3A": datasets.Value("string"),
104
+ "FG3M": datasets.Value("string"),
105
+ "FG3_PCT": datasets.Value("string"),
106
+ "FGA": datasets.Value("string"),
107
+ "FGM": datasets.Value("string"),
108
+ "FG_PCT": datasets.Value("string"),
109
+ "FTA": datasets.Value("string"),
110
+ "FTM": datasets.Value("string"),
111
+ "FT_PCT": datasets.Value("string"),
112
+ "DREB": datasets.Value("string"),
113
+ "OREB": datasets.Value("string"),
114
+ "TREB": datasets.Value("string"),
115
+ "BLK": datasets.Value("string"),
116
+ "AST": datasets.Value("string"),
117
+ "STL": datasets.Value("string"),
118
+ "TOV": datasets.Value("string"),
119
+ "PF": datasets.Value("string"),
120
+ "PTS": datasets.Value("string"),
121
+ "MIN": datasets.Value("string")
122
+ },
123
+ "H1": {
124
+ "FG3A": datasets.Value("string"),
125
+ "FG3M": datasets.Value("string"),
126
+ "FG3_PCT": datasets.Value("string"),
127
+ "FGA": datasets.Value("string"),
128
+ "FGM": datasets.Value("string"),
129
+ "FG_PCT": datasets.Value("string"),
130
+ "FTA": datasets.Value("string"),
131
+ "FTM": datasets.Value("string"),
132
+ "FT_PCT": datasets.Value("string"),
133
+ "DREB": datasets.Value("string"),
134
+ "OREB": datasets.Value("string"),
135
+ "TREB": datasets.Value("string"),
136
+ "BLK": datasets.Value("string"),
137
+ "AST": datasets.Value("string"),
138
+ "STL": datasets.Value("string"),
139
+ "TOV": datasets.Value("string"),
140
+ "PTS": datasets.Value("string"),
141
+ "MIN": datasets.Value("string")
142
+ },
143
+ "H2": {
144
+ "FG3A": datasets.Value("string"),
145
+ "FG3M": datasets.Value("string"),
146
+ "FG3_PCT": datasets.Value("string"),
147
+ "FGA": datasets.Value("string"),
148
+ "FGM": datasets.Value("string"),
149
+ "FG_PCT": datasets.Value("string"),
150
+ "FTA": datasets.Value("string"),
151
+ "FTM": datasets.Value("string"),
152
+ "FT_PCT": datasets.Value("string"),
153
+ "DREB": datasets.Value("string"),
154
+ "OREB": datasets.Value("string"),
155
+ "TREB": datasets.Value("string"),
156
+ "BLK": datasets.Value("string"),
157
+ "AST": datasets.Value("string"),
158
+ "STL": datasets.Value("string"),
159
+ "TOV": datasets.Value("string"),
160
+ "PTS": datasets.Value("string"),
161
+ "MIN": datasets.Value("string")
162
+ },
163
+ "Q1": {
164
+ "FG3A": datasets.Value("string"),
165
+ "FG3M": datasets.Value("string"),
166
+ "FG3_PCT": datasets.Value("string"),
167
+ "FGA": datasets.Value("string"),
168
+ "FGM": datasets.Value("string"),
169
+ "FG_PCT": datasets.Value("string"),
170
+ "FTA": datasets.Value("string"),
171
+ "FTM": datasets.Value("string"),
172
+ "FT_PCT": datasets.Value("string"),
173
+ "DREB": datasets.Value("string"),
174
+ "OREB": datasets.Value("string"),
175
+ "TREB": datasets.Value("string"),
176
+ "BLK": datasets.Value("string"),
177
+ "AST": datasets.Value("string"),
178
+ "STL": datasets.Value("string"),
179
+ "TOV": datasets.Value("string"),
180
+ "PTS": datasets.Value("string"),
181
+ "MIN": datasets.Value("string")
182
+ },
183
+ "Q2": {
184
+ "FG3A": datasets.Value("string"),
185
+ "FG3M": datasets.Value("string"),
186
+ "FG3_PCT": datasets.Value("string"),
187
+ "FGA": datasets.Value("string"),
188
+ "FGM": datasets.Value("string"),
189
+ "FG_PCT": datasets.Value("string"),
190
+ "FTA": datasets.Value("string"),
191
+ "FTM": datasets.Value("string"),
192
+ "FT_PCT": datasets.Value("string"),
193
+ "DREB": datasets.Value("string"),
194
+ "OREB": datasets.Value("string"),
195
+ "TREB": datasets.Value("string"),
196
+ "BLK": datasets.Value("string"),
197
+ "AST": datasets.Value("string"),
198
+ "STL": datasets.Value("string"),
199
+ "TOV": datasets.Value("string"),
200
+ "PTS": datasets.Value("string"),
201
+ "MIN": datasets.Value("string")
202
+ },
203
+ "Q3": {
204
+ "FG3A": datasets.Value("string"),
205
+ "FG3M": datasets.Value("string"),
206
+ "FG3_PCT": datasets.Value("string"),
207
+ "FGA": datasets.Value("string"),
208
+ "FGM": datasets.Value("string"),
209
+ "FG_PCT": datasets.Value("string"),
210
+ "FTA": datasets.Value("string"),
211
+ "FTM": datasets.Value("string"),
212
+ "FT_PCT": datasets.Value("string"),
213
+ "DREB": datasets.Value("string"),
214
+ "OREB": datasets.Value("string"),
215
+ "TREB": datasets.Value("string"),
216
+ "BLK": datasets.Value("string"),
217
+ "AST": datasets.Value("string"),
218
+ "STL": datasets.Value("string"),
219
+ "TOV": datasets.Value("string"),
220
+ "PTS": datasets.Value("string"),
221
+ "MIN": datasets.Value("string")
222
+ },
223
+ "Q4": {
224
+ "FG3A": datasets.Value("string"),
225
+ "FG3M": datasets.Value("string"),
226
+ "FG3_PCT": datasets.Value("string"),
227
+ "FGA": datasets.Value("string"),
228
+ "FGM": datasets.Value("string"),
229
+ "FG_PCT": datasets.Value("string"),
230
+ "FTA": datasets.Value("string"),
231
+ "FTM": datasets.Value("string"),
232
+ "FT_PCT": datasets.Value("string"),
233
+ "DREB": datasets.Value("string"),
234
+ "OREB": datasets.Value("string"),
235
+ "TREB": datasets.Value("string"),
236
+ "BLK": datasets.Value("string"),
237
+ "AST": datasets.Value("string"),
238
+ "STL": datasets.Value("string"),
239
+ "TOV": datasets.Value("string"),
240
+ "PTS": datasets.Value("string"),
241
+ "MIN": datasets.Value("string")
242
+ },
243
+ "OT": {
244
+ "FG3A": datasets.Value("string"),
245
+ "FG3M": datasets.Value("string"),
246
+ "FG3_PCT": datasets.Value("string"),
247
+ "FGA": datasets.Value("string"),
248
+ "FGM": datasets.Value("string"),
249
+ "FG_PCT": datasets.Value("string"),
250
+ "FTA": datasets.Value("string"),
251
+ "FTM": datasets.Value("string"),
252
+ "FT_PCT": datasets.Value("string"),
253
+ "DREB": datasets.Value("string"),
254
+ "OREB": datasets.Value("string"),
255
+ "TREB": datasets.Value("string"),
256
+ "BLK": datasets.Value("string"),
257
+ "AST": datasets.Value("string"),
258
+ "STL": datasets.Value("string"),
259
+ "TOV": datasets.Value("string"),
260
+ "PTS": datasets.Value("string"),
261
+ "MIN": datasets.Value("string")
262
+ }
263
+ },
264
+ "box_score": [
265
+ {
266
+ "first_name": datasets.Value("string"),
267
+ "last_name": datasets.Value("string"),
268
+ "name": datasets.Value("string"),
269
+ "starter": datasets.Value("string"),
270
+ "MIN": datasets.Value("string"),
271
+ "FGM": datasets.Value("string"),
272
+ "FGA": datasets.Value("string"),
273
+ "FG_PCT": datasets.Value("string"),
274
+ "FG3M": datasets.Value("string"),
275
+ "FG3A": datasets.Value("string"),
276
+ "FG3_PCT": datasets.Value("string"),
277
+ "FTM": datasets.Value("string"),
278
+ "FTA": datasets.Value("string"),
279
+ "FT_PCT": datasets.Value("string"),
280
+ "OREB": datasets.Value("string"),
281
+ "DREB": datasets.Value("string"),
282
+ "TREB": datasets.Value("string"),
283
+ "AST": datasets.Value("string"),
284
+ "STL": datasets.Value("string"),
285
+ "BLK": datasets.Value("string"),
286
+ "TOV": datasets.Value("string"),
287
+ "PF": datasets.Value("string"),
288
+ "PTS": datasets.Value("string"),
289
+ "+/-": datasets.Value("string"),
290
+ "DOUBLE": datasets.Value("string")
291
+ }
292
+ ],
293
+ "next_game": {
294
+ "day": datasets.Value("string"),
295
+ "month": datasets.Value("string"),
296
+ "year": datasets.Value("string"),
297
+ "dayname": datasets.Value("string"),
298
+ "stadium": datasets.Value("string"),
299
+ "city": datasets.Value("string"),
300
+ "opponent_name": datasets.Value("string"),
301
+ "opponent_place": datasets.Value("string"),
302
+ "is_home": datasets.Value("string"),
303
+ }
304
+ },
305
+ "vis": {
306
+ "name": datasets.Value("string"),
307
+ "place": datasets.Value("string"),
308
+ "conference": datasets.Value("string"),
309
+ "division": datasets.Value("string"),
310
+ "wins": datasets.Value("string"),
311
+ "losses": datasets.Value("string"),
312
+ "conference_standing": datasets.Value("int32"),
313
+ "game_number": datasets.Value("string"),
314
+ "previous_game_id": datasets.Value("string"),
315
+ "next_game_id": datasets.Value("string"),
316
+ "line_score": {
317
+ "game": {
318
+ "FG3A": datasets.Value("string"),
319
+ "FG3M": datasets.Value("string"),
320
+ "FG3_PCT": datasets.Value("string"),
321
+ "FGA": datasets.Value("string"),
322
+ "FGM": datasets.Value("string"),
323
+ "FG_PCT": datasets.Value("string"),
324
+ "FTA": datasets.Value("string"),
325
+ "FTM": datasets.Value("string"),
326
+ "FT_PCT": datasets.Value("string"),
327
+ "DREB": datasets.Value("string"),
328
+ "OREB": datasets.Value("string"),
329
+ "TREB": datasets.Value("string"),
330
+ "BLK": datasets.Value("string"),
331
+ "AST": datasets.Value("string"),
332
+ "STL": datasets.Value("string"),
333
+ "TOV": datasets.Value("string"),
334
+ "PF": datasets.Value("string"),
335
+ "PTS": datasets.Value("string"),
336
+ "MIN": datasets.Value("string")
337
+ },
338
+ "H1": {
339
+ "FG3A": datasets.Value("string"),
340
+ "FG3M": datasets.Value("string"),
341
+ "FG3_PCT": datasets.Value("string"),
342
+ "FGA": datasets.Value("string"),
343
+ "FGM": datasets.Value("string"),
344
+ "FG_PCT": datasets.Value("string"),
345
+ "FTA": datasets.Value("string"),
346
+ "FTM": datasets.Value("string"),
347
+ "FT_PCT": datasets.Value("string"),
348
+ "DREB": datasets.Value("string"),
349
+ "OREB": datasets.Value("string"),
350
+ "TREB": datasets.Value("string"),
351
+ "BLK": datasets.Value("string"),
352
+ "AST": datasets.Value("string"),
353
+ "STL": datasets.Value("string"),
354
+ "TOV": datasets.Value("string"),
355
+ "PTS": datasets.Value("string"),
356
+ "MIN": datasets.Value("string")
357
+ },
358
+ "H2": {
359
+ "FG3A": datasets.Value("string"),
360
+ "FG3M": datasets.Value("string"),
361
+ "FG3_PCT": datasets.Value("string"),
362
+ "FGA": datasets.Value("string"),
363
+ "FGM": datasets.Value("string"),
364
+ "FG_PCT": datasets.Value("string"),
365
+ "FTA": datasets.Value("string"),
366
+ "FTM": datasets.Value("string"),
367
+ "FT_PCT": datasets.Value("string"),
368
+ "DREB": datasets.Value("string"),
369
+ "OREB": datasets.Value("string"),
370
+ "TREB": datasets.Value("string"),
371
+ "BLK": datasets.Value("string"),
372
+ "AST": datasets.Value("string"),
373
+ "STL": datasets.Value("string"),
374
+ "TOV": datasets.Value("string"),
375
+ "PTS": datasets.Value("string"),
376
+ "MIN": datasets.Value("string")
377
+ },
378
+ "Q1": {
379
+ "FG3A": datasets.Value("string"),
380
+ "FG3M": datasets.Value("string"),
381
+ "FG3_PCT": datasets.Value("string"),
382
+ "FGA": datasets.Value("string"),
383
+ "FGM": datasets.Value("string"),
384
+ "FG_PCT": datasets.Value("string"),
385
+ "FTA": datasets.Value("string"),
386
+ "FTM": datasets.Value("string"),
387
+ "FT_PCT": datasets.Value("string"),
388
+ "DREB": datasets.Value("string"),
389
+ "OREB": datasets.Value("string"),
390
+ "TREB": datasets.Value("string"),
391
+ "BLK": datasets.Value("string"),
392
+ "AST": datasets.Value("string"),
393
+ "STL": datasets.Value("string"),
394
+ "TOV": datasets.Value("string"),
395
+ "PTS": datasets.Value("string"),
396
+ "MIN": datasets.Value("string")
397
+ },
398
+ "Q2": {
399
+ "FG3A": datasets.Value("string"),
400
+ "FG3M": datasets.Value("string"),
401
+ "FG3_PCT": datasets.Value("string"),
402
+ "FGA": datasets.Value("string"),
403
+ "FGM": datasets.Value("string"),
404
+ "FG_PCT": datasets.Value("string"),
405
+ "FTA": datasets.Value("string"),
406
+ "FTM": datasets.Value("string"),
407
+ "FT_PCT": datasets.Value("string"),
408
+ "DREB": datasets.Value("string"),
409
+ "OREB": datasets.Value("string"),
410
+ "TREB": datasets.Value("string"),
411
+ "BLK": datasets.Value("string"),
412
+ "AST": datasets.Value("string"),
413
+ "STL": datasets.Value("string"),
414
+ "TOV": datasets.Value("string"),
415
+ "PTS": datasets.Value("string"),
416
+ "MIN": datasets.Value("string")
417
+ },
418
+ "Q3": {
419
+ "FG3A": datasets.Value("string"),
420
+ "FG3M": datasets.Value("string"),
421
+ "FG3_PCT": datasets.Value("string"),
422
+ "FGA": datasets.Value("string"),
423
+ "FGM": datasets.Value("string"),
424
+ "FG_PCT": datasets.Value("string"),
425
+ "FTA": datasets.Value("string"),
426
+ "FTM": datasets.Value("string"),
427
+ "FT_PCT": datasets.Value("string"),
428
+ "DREB": datasets.Value("string"),
429
+ "OREB": datasets.Value("string"),
430
+ "TREB": datasets.Value("string"),
431
+ "BLK": datasets.Value("string"),
432
+ "AST": datasets.Value("string"),
433
+ "STL": datasets.Value("string"),
434
+ "TOV": datasets.Value("string"),
435
+ "PTS": datasets.Value("string"),
436
+ "MIN": datasets.Value("string")
437
+ },
438
+ "Q4": {
439
+ "FG3A": datasets.Value("string"),
440
+ "FG3M": datasets.Value("string"),
441
+ "FG3_PCT": datasets.Value("string"),
442
+ "FGA": datasets.Value("string"),
443
+ "FGM": datasets.Value("string"),
444
+ "FG_PCT": datasets.Value("string"),
445
+ "FTA": datasets.Value("string"),
446
+ "FTM": datasets.Value("string"),
447
+ "FT_PCT": datasets.Value("string"),
448
+ "DREB": datasets.Value("string"),
449
+ "OREB": datasets.Value("string"),
450
+ "TREB": datasets.Value("string"),
451
+ "BLK": datasets.Value("string"),
452
+ "AST": datasets.Value("string"),
453
+ "STL": datasets.Value("string"),
454
+ "TOV": datasets.Value("string"),
455
+ "PTS": datasets.Value("string"),
456
+ "MIN": datasets.Value("string")
457
+ },
458
+ "OT": {
459
+ "FG3A": datasets.Value("string"),
460
+ "FG3M": datasets.Value("string"),
461
+ "FG3_PCT": datasets.Value("string"),
462
+ "FGA": datasets.Value("string"),
463
+ "FGM": datasets.Value("string"),
464
+ "FG_PCT": datasets.Value("string"),
465
+ "FTA": datasets.Value("string"),
466
+ "FTM": datasets.Value("string"),
467
+ "FT_PCT": datasets.Value("string"),
468
+ "DREB": datasets.Value("string"),
469
+ "OREB": datasets.Value("string"),
470
+ "TREB": datasets.Value("string"),
471
+ "BLK": datasets.Value("string"),
472
+ "AST": datasets.Value("string"),
473
+ "STL": datasets.Value("string"),
474
+ "TOV": datasets.Value("string"),
475
+ "PTS": datasets.Value("string"),
476
+ "MIN": datasets.Value("string")
477
+ }
478
+ },
479
+ "box_score": [
480
+ {
481
+ "first_name": datasets.Value("string"),
482
+ "last_name": datasets.Value("string"),
483
+ "name": datasets.Value("string"),
484
+ "starter": datasets.Value("string"),
485
+ "MIN": datasets.Value("string"),
486
+ "FGM": datasets.Value("string"),
487
+ "FGA": datasets.Value("string"),
488
+ "FG_PCT": datasets.Value("string"),
489
+ "FG3M": datasets.Value("string"),
490
+ "FG3A": datasets.Value("string"),
491
+ "FG3_PCT": datasets.Value("string"),
492
+ "FTM": datasets.Value("string"),
493
+ "FTA": datasets.Value("string"),
494
+ "FT_PCT": datasets.Value("string"),
495
+ "OREB": datasets.Value("string"),
496
+ "DREB": datasets.Value("string"),
497
+ "TREB": datasets.Value("string"),
498
+ "AST": datasets.Value("string"),
499
+ "STL": datasets.Value("string"),
500
+ "BLK": datasets.Value("string"),
501
+ "TOV": datasets.Value("string"),
502
+ "PF": datasets.Value("string"),
503
+ "PTS": datasets.Value("string"),
504
+ "+/-": datasets.Value("string"),
505
+ "DOUBLE": datasets.Value("string")
506
+ }
507
+ ],
508
+ "next_game": {
509
+ "day": datasets.Value("string"),
510
+ "month": datasets.Value("string"),
511
+ "year": datasets.Value("string"),
512
+ "dayname": datasets.Value("string"),
513
+ "stadium": datasets.Value("string"),
514
+ "city": datasets.Value("string"),
515
+ "opponent_name": datasets.Value("string"),
516
+ "opponent_place": datasets.Value("string"),
517
+ "is_home": datasets.Value("string"),
518
+ }
519
+ }
520
+ },
521
+ "summaries": datasets.Sequence(datasets.Value("string")),
522
+ }
523
+ )
524
+ return datasets.DatasetInfo(
525
+ description=_DESCRIPTION,
526
+ features=features,
527
+ supervised_keys=None,
528
+ homepage=_HOMEPAGE,
529
+ license=_LICENSE,
530
+ citation=_CITATION,
531
+ )
532
+
533
+ def _split_generators(self, dl_manager):
534
+ """Returns SplitGenerators."""
535
+ # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
536
+ # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
537
+
538
+ # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
539
+ # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
540
+ # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
541
+ data_dir = dl_manager.download_and_extract(_URLs)
542
+ return [
543
+ datasets.SplitGenerator(
544
+ name=datasets.Split.TRAIN,
545
+ # These kwargs will be passed to _generate_examples
546
+ gen_kwargs={
547
+ "filepath": data_dir["train"],
548
+ "split": "train",
549
+ },
550
+ ),
551
+ datasets.SplitGenerator(
552
+ name=datasets.Split.TEST,
553
+ # These kwargs will be passed to _generate_examples
554
+ gen_kwargs={
555
+ "filepath": data_dir["test"],
556
+ "split": "test"
557
+ },
558
+ ),
559
+ datasets.SplitGenerator(
560
+ name=datasets.Split.VALIDATION,
561
+ # These kwargs will be passed to _generate_examples
562
+ gen_kwargs={
563
+ "filepath": data_dir["validation"],
564
+ "split": "validation",
565
+ },
566
+ ),
567
+ ]
568
+
569
+ def _generate_examples(
570
+ self, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
571
+ ):
572
+ """ Yields examples as (key, example) tuples. """
573
+ # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
574
+ # The `key` is here for legacy reason (tfds) and is not important in itself.
575
+
576
+ js = json.load(open(filepath, encoding="utf-8"))
577
+ for id_, data in enumerate(js):
578
+ yield id_, {
579
+ "sportsett_id": data["sportsett_id"],
580
+ "gem_id": data["gem_id"],
581
+ "game": data["game"],
582
+ "teams": data["teams"],
583
+ "summaries": data["summaries"],
584
+ }
test.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0948fc0e2fd5a990b546c51f5042f73d66d61c32538f8505c62a66778080e558
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+ size 50605513
train.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:01c3e3326b51c0aba353f4f0e4945477fd3750d5a545a998202e51ad57b0fdef
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+ size 155510661
validation.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:087f1e21e13884a3cefb7c4758efecd460772581e42f34cfc28c0da7555f4144
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+ size 50931310