Datasets:
skt
/

Modalities:
Text
Formats:
json
Languages:
Korean
ArXiv:
Libraries:
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pandas
License:
haebo1 commited on
Commit
7ee869e
1 Parent(s): f49a78e

remove python scripts (#7)

Browse files

- remove python scripts (603f5135e70b8b94e73a66ee66975979177acb8b)

Files changed (2) hide show
  1. dataset_infos.json +0 -224
  2. kobest_v1.py +0 -242
dataset_infos.json DELETED
@@ -1,224 +0,0 @@
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- {
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- "boolq": {
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- "description": " Korean Balanced Evaluation of Significant Tasks Benchmark\n",
4
- "citation": " TBD\n",
5
- "homepage": "https://github.com/SKT-LSL/KoBEST_datarepo",
6
- "license": "",
7
- "features": {
8
- "paragraph": {
9
- "dtype": "string",
10
- "id": null,
11
- "_type": "Value"
12
- },
13
- "question": {
14
- "dtype": "string",
15
- "id": null,
16
- "_type": "Value"
17
- },
18
- "label": {
19
- "num_classes": 2,
20
- "names": [
21
- "False",
22
- "True"
23
- ],
24
- "names_file": null,
25
- "id": null,
26
- "_type": "ClassLabel"
27
- }
28
- },
29
- "post_processed": null,
30
- "supervised_keys": null,
31
- "builder_name": "kobest_v1",
32
- "config_name": "boolq",
33
- "version": {
34
- "version_str": "1.0.0",
35
- "description": "",
36
- "major": 1,
37
- "minor": 0,
38
- "patch": 0
39
- }
40
- },
41
- "copa": {
42
- "description": " Korean Balanced Evaluation of Significant Tasks Benchmark\n",
43
- "citation": " TBD\n",
44
- "homepage": "https://github.com/SKT-LSL/KoBEST_datarepo",
45
- "license": "",
46
- "features": {
47
- "premise": {
48
- "dtype": "string",
49
- "id": null,
50
- "_type": "Value"
51
- },
52
- "question": {
53
- "dtype": "string",
54
- "id": null,
55
- "_type": "Value"
56
- },
57
- "alternative_1": {
58
- "dtype": "string",
59
- "id": null,
60
- "_type": "Value"
61
- },
62
- "alternative_2": {
63
- "dtype": "string",
64
- "id": null,
65
- "_type": "Value"
66
- },
67
- "label": {
68
- "num_classes": 2,
69
- "names": [
70
- "alternative_1",
71
- "alternative_2"
72
- ],
73
- "names_file": null,
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- "id": null,
75
- "_type": "ClassLabel"
76
- }
77
- },
78
- "post_processed": null,
79
- "supervised_keys": null,
80
- "builder_name": "kobest_v1",
81
- "config_name": "copa",
82
- "version": {
83
- "version_str": "1.0.0",
84
- "description": "",
85
- "major": 1,
86
- "minor": 0,
87
- "patch": 0
88
- }
89
- },
90
- "wic": {
91
- "description": " Korean Balanced Evaluation of Significant Tasks Benchmark\n",
92
- "citation": " TBD\n",
93
- "homepage": "https://github.com/SKT-LSL/KoBEST_datarepo",
94
- "license": "",
95
- "features": {
96
- "word": {
97
- "dtype": "string",
98
- "id": null,
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- "_type": "Value"
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- },
101
- "context_1": {
102
- "dtype": "string",
103
- "id": null,
104
- "_type": "Value"
105
- },
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- "context_2": {
107
- "dtype": "string",
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- "id": null,
109
- "_type": "Value"
110
- },
111
- "label": {
112
- "num_classes": 2,
113
- "names": [
114
- "False",
115
- "True"
116
- ],
117
- "names_file": null,
118
- "id": null,
119
- "_type": "ClassLabel"
120
- }
121
- },
122
- "post_processed": null,
123
- "supervised_keys": null,
124
- "builder_name": "kobest_v1",
125
- "config_name": "copa",
126
- "version": {
127
- "version_str": "1.0.0",
128
- "description": "",
129
- "major": 1,
130
- "minor": 0,
131
- "patch": 0
132
- }
133
- },
134
- "hellaswag": {
135
- "description": " Korean Balanced Evaluation of Significant Tasks Benchmark\n",
136
- "citation": " TBD\n",
137
- "homepage": "https://github.com/SKT-LSL/KoBEST_datarepo",
138
- "license": "",
139
- "features": {
140
- "context": {
141
- "dtype": "string",
142
- "id": null,
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- "_type": "Value"
144
- },
145
- "ending_1": {
146
- "dtype": "string",
147
- "id": null,
148
- "_type": "Value"
149
- },
150
- "ending_2": {
151
- "dtype": "string",
152
- "id": null,
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- "_type": "Value"
154
- },
155
- "ending_3": {
156
- "dtype": "string",
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- "id": null,
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- "_type": "Value"
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- },
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- "ending_4": {
161
- "dtype": "string",
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- "id": null,
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- "_type": "Value"
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- },
165
- "label": {
166
- "num_classes": 4,
167
- "names": [
168
- "ending_1",
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- "ending_2",
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- "ending_3",
171
- "ending_4"
172
- ],
173
- "names_file": null,
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- "id": null,
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- "_type": "ClassLabel"
176
- }
177
- },
178
- "post_processed": null,
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- "supervised_keys": null,
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- "builder_name": "kobest_v1",
181
- "config_name": "copa",
182
- "version": {
183
- "version_str": "1.0.0",
184
- "description": "",
185
- "major": 1,
186
- "minor": 0,
187
- "patch": 0
188
- }
189
- },
190
- "sentineg": {
191
- "description": " Korean Balanced Evaluation of Significant Tasks Benchmark\n",
192
- "citation": " TBD\n",
193
- "homepage": "https://github.com/SKT-LSL/KoBEST_datarepo",
194
- "license": "",
195
- "features": {
196
- "sentence": {
197
- "dtype": "string",
198
- "id": null,
199
- "_type": "Value"
200
- },
201
- "label": {
202
- "num_classes": 2,
203
- "names": [
204
- "negative",
205
- "positive"
206
- ],
207
- "names_file": null,
208
- "id": null,
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- "_type": "ClassLabel"
210
- }
211
- },
212
- "post_processed": null,
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- "supervised_keys": null,
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- "builder_name": "kobest_v1",
215
- "config_name": "copa",
216
- "version": {
217
- "version_str": "1.0.0",
218
- "description": "",
219
- "major": 1,
220
- "minor": 0,
221
- "patch": 0
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- }
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- }
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
kobest_v1.py DELETED
@@ -1,242 +0,0 @@
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- """Korean Balanced Evaluation of Significant Tasks"""
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-
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-
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- import csv
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- import os
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- import pandas as pd
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-
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- import datasets
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-
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-
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- _CITATAION = """\
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- @misc{https://doi.org/10.48550/arxiv.2204.04541,
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- doi = {10.48550/ARXIV.2204.04541},
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- url = {https://arxiv.org/abs/2204.04541},
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- author = {Kim, Dohyeong and Jang, Myeongjun and Kwon, Deuk Sin and Davis, Eric},
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- title = {KOBEST: Korean Balanced Evaluation of Significant Tasks},
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- publisher = {arXiv},
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- year = {2022},
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- }
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- """
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-
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- _DESCRIPTION = """\
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- The dataset contains data for KoBEST dataset
24
- """
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-
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- _URL = "https://github.com/SKT-LSL/KoBEST_datarepo/raw/main"
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-
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-
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- _DATA_URLS = {
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- "boolq": {
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- "train": _URL + "/v1.0/BoolQ/train.tsv",
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- "dev": _URL + "/v1.0/BoolQ/dev.tsv",
33
- "test": _URL + "/v1.0/BoolQ/test.tsv",
34
- },
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- "copa": {
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- "train": _URL + "/v1.0/COPA/train.tsv",
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- "dev": _URL + "/v1.0/COPA/dev.tsv",
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- "test": _URL + "/v1.0/COPA/test.tsv",
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- },
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- "sentineg": {
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- "train": _URL + "/v1.0/SentiNeg/train.tsv",
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- "dev": _URL + "/v1.0/SentiNeg/dev.tsv",
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- "test": _URL + "/v1.0/SentiNeg/test.tsv",
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- "test_originated": _URL + "/v1.0/SentiNeg/test.tsv",
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- },
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- "hellaswag": {
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- "train": _URL + "/v1.0/HellaSwag/train.tsv",
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- "dev": _URL + "/v1.0/HellaSwag/dev.tsv",
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- "test": _URL + "/v1.0/HellaSwag/test.tsv",
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- },
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- "wic": {
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- "train": _URL + "/v1.0/WiC/train.tsv",
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- "dev": _URL + "/v1.0/WiC/dev.tsv",
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- "test": _URL + "/v1.0/WiC/test.tsv",
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- },
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- }
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-
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- _LICENSE = "CC-BY-SA-4.0"
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-
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-
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- class KoBESTConfig(datasets.BuilderConfig):
62
- """Config for building KoBEST"""
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-
64
- def __init__(self, description, data_url, citation, url, **kwargs):
65
- """
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- Args:
67
- description: `string`, brief description of the dataset
68
- data_url: `dictionary`, dict with url for each split of data.
69
- citation: `string`, citation for the dataset.
70
- url: `string`, url for information about the dataset.
71
- **kwrags: keyword arguments frowarded to super
72
- """
73
- super(KoBESTConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
74
- self.description = description
75
- self.data_url = data_url
76
- self.citation = citation
77
- self.url = url
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-
79
-
80
- class KoBEST(datasets.GeneratorBasedBuilder):
81
- BUILDER_CONFIGS = [
82
- KoBESTConfig(name=name, description=_DESCRIPTION, data_url=_DATA_URLS[name], citation=_CITATAION, url=_URL)
83
- for name in ["boolq", "copa", 'sentineg', 'hellaswag', 'wic']
84
- ]
85
- BUILDER_CONFIG_CLASS = KoBESTConfig
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-
87
- def _info(self):
88
- features = {}
89
- if self.config.name == "boolq":
90
- labels = ["False", "True"]
91
- features["paragraph"] = datasets.Value("string")
92
- features["question"] = datasets.Value("string")
93
- features["label"] = datasets.features.ClassLabel(names=labels)
94
-
95
- if self.config.name == "copa":
96
- labels = ["alternative_1", "alternative_2"]
97
- features["premise"] = datasets.Value("string")
98
- features["question"] = datasets.Value("string")
99
- features["alternative_1"] = datasets.Value("string")
100
- features["alternative_2"] = datasets.Value("string")
101
- features["label"] = datasets.features.ClassLabel(names=labels)
102
-
103
- if self.config.name == "wic":
104
- labels = ["False", "True"]
105
- features["word"] = datasets.Value("string")
106
- features["context_1"] = datasets.Value("string")
107
- features["context_2"] = datasets.Value("string")
108
- features["label"] = datasets.features.ClassLabel(names=labels)
109
-
110
- if self.config.name == "hellaswag":
111
- labels = ["ending_1", "ending_2", "ending_3", "ending_4"]
112
-
113
- features["context"] = datasets.Value("string")
114
- features["ending_1"] = datasets.Value("string")
115
- features["ending_2"] = datasets.Value("string")
116
- features["ending_3"] = datasets.Value("string")
117
- features["ending_4"] = datasets.Value("string")
118
- features["label"] = datasets.features.ClassLabel(names=labels)
119
-
120
- if self.config.name == "sentineg":
121
- labels = ["negative", "positive"]
122
- features["sentence"] = datasets.Value("string")
123
- features["label"] = datasets.features.ClassLabel(names=labels)
124
-
125
- return datasets.DatasetInfo(
126
- description=_DESCRIPTION, features=datasets.Features(features), homepage=_URL, citation=_CITATAION
127
- )
128
-
129
- def _split_generators(self, dl_manager):
130
-
131
- train = dl_manager.download_and_extract(self.config.data_url["train"])
132
- dev = dl_manager.download_and_extract(self.config.data_url["dev"])
133
- test = dl_manager.download_and_extract(self.config.data_url["test"])
134
-
135
- if self.config.data_url.get("test_originated"):
136
- test_originated = dl_manager.download_and_extract(self.config.data_url["test_originated"])
137
-
138
- return [
139
- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train, "split": "train"}),
140
- datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": dev, "split": "dev"}),
141
- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test, "split": "test"}),
142
- datasets.SplitGenerator(name="test_originated", gen_kwargs={"filepath": test_originated, "split": "test_originated"}),
143
- ]
144
-
145
- return [
146
- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train, "split": "train"}),
147
- datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": dev, "split": "dev"}),
148
- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test, "split": "test"}),
149
- ]
150
-
151
- def _generate_examples(self, filepath, split):
152
- if self.config.name == "boolq":
153
- df = pd.read_csv(filepath, sep="\t")
154
- df = df.dropna()
155
- df = df[['Text', 'Question', 'Answer']]
156
-
157
- df = df.rename(columns={
158
- 'Text': 'paragraph',
159
- 'Question': 'question',
160
- 'Answer': 'label',
161
- })
162
- df['label'] = [0 if str(s) == 'False' else 1 for s in df['label'].tolist()]
163
-
164
- elif self.config.name == "copa":
165
- df = pd.read_csv(filepath, sep="\t")
166
- df = df.dropna()
167
- df = df[['sentence', 'question', '1', '2', 'Answer']]
168
-
169
- df = df.rename(columns={
170
- 'sentence': 'premise',
171
- 'question': 'question',
172
- '1': 'alternative_1',
173
- '2': 'alternative_2',
174
- 'Answer': 'label',
175
- })
176
- df['label'] = [i-1 for i in df['label'].tolist()]
177
-
178
- elif self.config.name == "wic":
179
- df = pd.read_csv(filepath, sep="\t")
180
- df = df.dropna()
181
- df = df[['Target', 'SENTENCE1', 'SENTENCE2', 'ANSWER']]
182
-
183
- df = df.rename(columns={
184
- 'Target': 'word',
185
- 'SENTENCE1': 'context_1',
186
- 'SENTENCE2': 'context_2',
187
- 'ANSWER': 'label',
188
- })
189
- df['label'] = [0 if str(s) == 'False' else 1 for s in df['label'].tolist()]
190
-
191
- elif self.config.name == "hellaswag":
192
- df = pd.read_csv(filepath, sep="\t")
193
- df = df.dropna()
194
- df = df[['context', 'choice1', 'choice2', 'choice3', 'choice4', 'label']]
195
-
196
- df = df.rename(columns={
197
- 'context': 'context',
198
- 'choice1': 'ending_1',
199
- 'choice2': 'ending_2',
200
- 'choice3': 'ending_3',
201
- 'choice4': 'ending_4',
202
- 'label': 'label',
203
- })
204
-
205
- elif self.config.name == "sentineg":
206
- df = pd.read_csv(filepath, sep="\t")
207
- df = df.dropna()
208
-
209
- if split == "test_originated":
210
- df = df[['Text_origin', 'Label_origin']]
211
-
212
- df = df.rename(columns={
213
- 'Text_origin': 'sentence',
214
- 'Label_origin': 'label',
215
- })
216
- else:
217
- df = df[['Text', 'Label']]
218
-
219
- df = df.rename(columns={
220
- 'Text': 'sentence',
221
- 'Label': 'label',
222
- })
223
-
224
- else:
225
- raise NotImplementedError
226
-
227
- for id_, row in df.iterrows():
228
- features = {key: row[key] for key in row.keys()}
229
- yield id_, features
230
-
231
-
232
- if __name__ == "__main__":
233
- for config_name in ["boolq", "copa", 'sentineg', 'hellaswag', 'wic']:
234
- dataset = datasets.load_dataset("kobest_v1.py", config_name, ignore_verifications=True)
235
- os.makedirs(config_name, exist_ok=True)
236
- for split, split_dataset in dataset.items():
237
- split_dataset.to_json(f"{config_name}/{split}.jsonl")
238
- # for task in ['boolq', 'copa', 'wic', 'hellaswag', 'sentineg']:
239
- # dataset = datasets.load_dataset("kobest_v1.py", task, ignore_verifications=True)
240
- # print(dataset)
241
- # print(dataset['train']['label'])
242
-