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IndicWikiBio.py DELETED
@@ -1,108 +0,0 @@
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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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- _CITATION = """\
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- @inproceedings{Kumar2022IndicNLGSM,
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- title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
9
- author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
10
- year={2022},
11
- url = "https://arxiv.org/abs/2203.05437"
12
- }
13
- """
14
-
15
- _DESCRIPTION = """\
16
- This is the WikiBio dataset released as part of IndicNLG Suite. Each
17
- example has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine
18
- languages including as, bn, hi, kn, ml, or, pa, ta, te. The total
19
- size of the dataset is 57,426.
20
- """
21
- _HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite"
22
-
23
- _LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
24
-
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- _URL = "https://huggingface.co/datasets/ai4bharat/IndicWikiBio/resolve/main/data/{}_WikiBio_v{}.zip"
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-
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-
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- _LANGUAGES = [
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- "as",
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- "bn",
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- "hi",
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- "kn",
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- "ml",
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- "or",
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- "pa",
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- "ta",
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- "te"
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- ]
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-
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-
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- class WikiBio(datasets.GeneratorBasedBuilder):
42
- VERSION = datasets.Version("1.0.0")
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-
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- BUILDER_CONFIGS = [
45
- datasets.BuilderConfig(
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- name="{}".format(lang),
47
- version=datasets.Version("1.0.0")
48
- )
49
- for lang in _LANGUAGES
50
- ]
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-
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- def _info(self):
53
- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=datasets.Features(
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- {
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- "id": datasets.Value("string"),
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- "infobox": datasets.Value("string"),
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- "serialized_infobox": datasets.Value("string"),
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- "summary": datasets.Value("string")
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- }
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- ),
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- supervised_keys=None,
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- homepage=_HOMEPAGE,
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- citation=_CITATION,
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- license=_LICENSE,
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- version=self.VERSION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- lang = str(self.config.name)
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- url = _URL.format(lang, self.VERSION.version_str[:-2])
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-
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- data_dir = dl_manager.download_and_extract(url)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, lang + "_train" + ".jsonl"),
81
- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.TEST,
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, lang + "_test" + ".jsonl"),
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- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.VALIDATION,
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, lang + "_val" + ".jsonl"),
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- },
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- ),
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- ]
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-
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- def _generate_examples(self, filepath):
98
- """Yields examples as (key, example) tuples."""
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- with open(filepath, encoding="utf-8") as f:
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- for idx_, row in enumerate(f):
101
- data = json.loads(row)
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- yield idx_, {
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- "id": data["id"],
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- "infobox": data["infobox"],
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- "serialized_infobox": data["serialized_infobox"],
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- "summary": data["summary"]
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-
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md DELETED
@@ -1,206 +0,0 @@
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- ---
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- annotations_creators:
3
- - no-annotation
4
- language_creators:
5
- - found
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- language:
7
- - as
8
- - bn
9
- - hi
10
- - kn
11
- - ml
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- - or
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- - pa
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- - ta
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- - te
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- license:
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- - cc-by-nc-4.0
18
- multilinguality:
19
- - multilingual
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- pretty_name: IndicWikiBio
21
- size_categories:
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- - 1960<n<11,502
23
- source_datasets:
24
- - none. Originally generated from www.wikimedia.org.
25
- task_categories:
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- - conditional-text-generation
27
- task_ids:
28
- - conditional-text-generation-other-wikibio
29
- ---
30
-
31
- # Dataset Card for "IndicWikiBio"
32
-
33
- ## Table of Contents
34
- - [Dataset Card Creation Guide](#dataset-card-creation-guide)
35
- - [Table of Contents](#table-of-contents)
36
- - [Dataset Description](#dataset-description)
37
- - [Dataset Summary](#dataset-summary)
38
- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
39
- - [Languages](#languages)
40
- - [Dataset Structure](#dataset-structure)
41
- - [Data Instances](#data-instances)
42
- - [Data Fields](#data-fields)
43
- - [Data Splits](#data-splits)
44
- - [Dataset Creation](#dataset-creation)
45
- - [Curation Rationale](#curation-rationale)
46
- - [Source Data](#source-data)
47
- - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
48
- - [Who are the source language producers?](#who-are-the-source-language-producers)
49
- - [Annotations](#annotations)
50
- - [Annotation process](#annotation-process)
51
- - [Who are the annotators?](#who-are-the-annotators)
52
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
53
- - [Considerations for Using the Data](#considerations-for-using-the-data)
54
- - [Social Impact of Dataset](#social-impact-of-dataset)
55
- - [Discussion of Biases](#discussion-of-biases)
56
- - [Other Known Limitations](#other-known-limitations)
57
- - [Additional Information](#additional-information)
58
- - [Dataset Curators](#dataset-curators)
59
- - [Licensing Information](#licensing-information)
60
- - [Citation Information](#citation-information)
61
- - [Contributions](#contributions)
62
-
63
- ## Dataset Description
64
-
65
- - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
66
- - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
67
- - **Point of Contact:**
68
-
69
- ### Dataset Summary
70
-
71
- The WikiBio dataset released as part of IndicNLG Suite. Each
72
- example has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine
73
- languages including as, bn, hi, kn, ml, or, pa, ta, te. The total
74
- size of the dataset is 57,426.
75
-
76
-
77
- ### Supported Tasks and Leaderboards
78
-
79
- **Tasks:** WikiBio
80
-
81
- **Leaderboards:** Currently there is no Leaderboard for this dataset.
82
-
83
- ### Languages
84
- - `Assamese (as)`
85
- - `Bengali (bn)`
86
- - `Kannada (kn)`
87
- - `Hindi (hi)`
88
- - `Malayalam (ml)`
89
- - `Oriya (or)`
90
- - `Punjabi (pa)`
91
- - `Tamil (ta)`
92
- - `Telugu (te)`
93
-
94
- ## Dataset Structure
95
-
96
- ### Data Instances
97
-
98
- One random example from the `hi` dataset is given below in JSON format.
99
- ```
100
- {
101
- "id": 26,
102
- "infobox": "name_1:सी॰\tname_2:एल॰\tname_3:रुआला\toffice_1:सांसद\toffice_2:-\toffice_3:मिजोरम\toffice_4:लोक\toffice_5:सभा\toffice_6:निर्वाचन\toffice_7:क्षेत्र\toffice_8:।\toffice_9:मिजोरम\tterm_1:2014\tterm_2:से\tterm_3:2019\tnationality_1:भारतीय",
103
- "serialized_infobox": "<TAG> name </TAG> सी॰ एल॰ रुआला <TAG> office </TAG> सांसद - मिजोरम लोक सभा निर्वाचन क्षेत्र । मिजोरम <TAG> term </TAG> 2014 से 2019 <TAG> nationality </TAG> भारतीय",
104
- "summary": "सी॰ एल॰ रुआला भारत की सोलहवीं लोक सभा के सांसद हैं।"
105
- }
106
-
107
- ```
108
-
109
- ### Data Fields
110
- - `id (string)`: Unique identifier.
111
- - `infobox (string)`: Raw Infobox.
112
- - `serialized_infobox (string)`: Serialized Infobox as input.
113
- - `summary (string)`: Summary of Infobox/First line of Wikipedia page.
114
-
115
-
116
- ### Data Splits
117
-
118
- Here is the number of samples in each split for all the languages.
119
-
120
-
121
-
122
-
123
- Language | ISO 639-1 Code | Train | Test | Val |
124
- ---------- | ---------- | ---------- | ---------- | ---------- |
125
- Assamese | as | 1,300 | 391 | 381 |
126
- Bengali | bn | 4,615 | 1,521 | 1,567 |
127
- Hindi | hi | 5,684 | 1,919 | 1,853 |
128
- Kannada | kn | 1,188 | 389 | 383 |
129
- Malayalam | ml | 5,620 | 1,835 | 1,896 |
130
- Oriya | or | 1,687 | 558 | 515 |
131
- Punjabi | pa | 3,796 | 1,227 | 1,331 |
132
- Tamil | ta | 8,169 | 2,701 | 2,632 |
133
- Telugu | te | 2,594 | 854 | 820 |
134
-
135
-
136
- ## Dataset Creation
137
-
138
- ### Curation Rationale
139
-
140
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
141
-
142
- ### Source Data
143
-
144
- None
145
-
146
- #### Initial Data Collection and Normalization
147
-
148
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
149
-
150
-
151
- #### Who are the source language producers?
152
-
153
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
154
-
155
-
156
- ### Annotations
157
- [More information needed]
158
- #### Annotation process
159
- [More information needed]
160
-
161
- #### Who are the annotators?
162
-
163
- [More information needed]
164
-
165
- ### Personal and Sensitive Information
166
-
167
- [More information needed]
168
-
169
- ## Considerations for Using the Data
170
-
171
- ### Social Impact of Dataset
172
-
173
- [More information needed]
174
-
175
- ### Discussion of Biases
176
-
177
- [More information needed]
178
-
179
- ### Other Known Limitations
180
-
181
- [More information needed]
182
-
183
- ## Additional Information
184
-
185
- ### Dataset Curators
186
-
187
- [More information needed]
188
-
189
- ### Licensing Information
190
-
191
- Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
192
- ### Citation Information
193
-
194
- If you use any of the datasets, models or code modules, please cite the following paper:
195
- ```
196
- @inproceedings{Kumar2022IndicNLGSM,
197
- title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
198
- author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
199
- year={2022},
200
- url = "https://arxiv.org/abs/2203.05437",
201
- ```
202
-
203
-
204
- ### Contributions
205
-
206
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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