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  2. README.md +186 -182
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.gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ .git
README.md CHANGED
@@ -1,165 +1,165 @@
1
  ---
2
  license: cc-by-4.0
3
  task_categories:
4
- - text-generation
5
  language:
6
- - as
7
- - bn
8
- - gu
9
- - en
10
- - hi
11
- - kn
12
- - ks
13
- - ml
14
- - mr
15
- - ne
16
- - or
17
- - pa
18
- - sa
19
- - sd
20
- - ta
21
- - te
22
- - ur
23
  tags:
24
- - language-modeling
25
- - casual-lm
26
- - llm
27
  pretty_name: sangraha
28
  dataset_info:
29
- - config_name: verified
30
- features:
31
- - name: doc_id
32
- dtype: string
33
- - name: type
34
- dtype: string
35
- - name: text
36
- dtype: string
37
- splits:
38
- - name: asm
39
- - name: ben
40
- - name: brx
41
- - name: doi
42
- - name: eng
43
- - name: gom
44
- - name: guj
45
- - name: hin
46
- - name: kan
47
- - name: kas
48
- - name: mai
49
- - name: mal
50
- - name: mar
51
- - name: mni
52
- - name: nep
53
- - name: ori
54
- - name: pan
55
- - name: san
56
- - name: sat
57
- - name: snd
58
- - name: tam
59
- - name: tel
60
- - name: urd
61
- - config_name: unverified
62
- features:
63
- - name: doc_id
64
- dtype: string
65
- - name: text
66
- dtype: string
67
- splits:
68
- - name: asm
69
- - name: ben
70
- - name: guj
71
- - name: hin
72
- - name: kan
73
- - name: mal
74
- - name: mar
75
- - name: nep
76
- - name: ori
77
- - name: pan
78
- - name: san
79
- - name: tam
80
- - name: tel
81
- - name: urd
82
  configs:
83
- - config_name: verified
84
- data_files:
85
- - split: asm
86
- path: verified/asm.*
87
- - split: ben
88
- path: verified/ben.*
89
- - split: brx
90
- path: verified/brx.*
91
- - split: doi
92
- path: verified/doi.*
93
- - split: eng
94
- path: verified/eng.*
95
- - split: gom
96
- path: verified/gom.*
97
- - split: guj
98
- path: verified/guj.*
99
- - split: hin
100
- path: verified/hin.*
101
- - split: kan
102
- path: verified/kan.*
103
- - split: kas
104
- path: verified/kas.*
105
- - split: mai
106
- path: verified/mai.*
107
- - split: mal
108
- path: verified/mal.*
109
- - split: mar
110
- path: verified/mar.*
111
- - split: mni
112
- path: verified/mni.*
113
- - split: nep
114
- path: verified/nep.*
115
- - split: ori
116
- path: verified/ori.*
117
- - split: pan
118
- path: verified/pan.*
119
- - split: san
120
- path: verified/san.*
121
- - split: sat
122
- path: verified/sat.*
123
- - split: snd
124
- path: verified/snd.*
125
- - split: tam
126
- path: verified/tam.*
127
- - split: tel
128
- path: verified/tel.*
129
- - split: urd
130
- path: verified/urd.*
131
- - config_name: unverified
132
- data_files:
133
- - split: asm
134
- path: unverified/asm.*
135
- - split: ben
136
- path: unverified/ben.*
137
- - split: guj
138
- path: unverified/guj.*
139
- - split: hin
140
- path: unverified/hin.*
141
- - split: kan
142
- path: unverified/kan.*
143
- - split: mal
144
- path: unverified/mal.*
145
- - split: mar
146
- path: unverified/mar.*
147
- - split: nep
148
- path: unverified/nep.*
149
- - split: ori
150
- path: unverified/ori.*
151
- - split: pan
152
- path: unverified/pan.*
153
- - split: san
154
- path: unverified/san.*
155
- - split: tam
156
- path: unverified/tam.*
157
- - split: tel
158
- path: unverified/tel.*
159
- - split: urd
160
- path: unverified/urd.*
161
  size_categories:
162
- - 100B<n<1T
163
  ---
164
 
165
  # Sangraha
@@ -171,6 +171,7 @@ size_categories:
171
  Sangraha is the largest high-quality, cleaned Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations.
172
 
173
  **Coming Soon**:
 
174
  - Sangraha Synthetic - Translated and Romanised English Wikimedia data.
175
  - Sangraha Verified - Hindi YouTube transcribed data.
176
 
@@ -180,7 +181,9 @@ Sangraha is the largest high-quality, cleaned Indic language pretraining data co
180
  - Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite);
181
 
182
  ## Getting Started
 
183
  You can download the dataset using Hugging Face datasets:
 
184
  ```python
185
  from datasets import load_dataset
186
 
@@ -188,50 +191,51 @@ dataset = load_dataset("ai4bharat/sangraha")
188
  ```
189
 
190
  ## Background
 
191
  Sangraha contains three broad components:
 
192
  - **Sangraha Verified**: Containing scraped data from "human-verified" Websites, OCR-extracted data from high quality Indic language PDFs, transcribed data from various Indic language videos, podcasts, movies, courses, etc.
193
  - **Sangraha Unverfied**: High quality Indic language data extracted from existing multilingual corpora employing perplexity filtering using n-gram language models trained on Sangraha Verified.
194
  - **Sangraha Synthetic**: WikiMedia English translated to 14 Indic languages and further "romanised" from 14 languages by transliteration to English.
195
 
196
  ## Data Statistics
197
 
198
- | **Lang Code** | **Verified** | **Synthetic** | **Unverified** | **Total Tokens (in Millions)** |
199
- |------|----------|----------|---------|--------------|
200
- | asm | 292.1 | 11,696.4 | 17.5 | 12,006.0 |
201
- | ben | 10,604.4 | 13,814.1 | 5,608.8 | 30,027.5 |
202
- | brx | 1.5 | - | - | 1.5 |
203
- | doi | 0.06 | - | - | 0.06 |
204
- | eng | 12,759.9 | - | - | 12,759.9 |
205
- | gom | 10.1 | - | - | 10.1 |
206
- | guj | 3,647.9 | 12,934.5 | 597.0 | 17,179.4 |
207
- | hin | 12,617.3 | 9,578.7 | 12,348.3| 34,544.3 |
208
- | kan | 1,778.3 | 12,087.4 | 388.8 | 14,254.5 |
209
- | kas | 0.5 | - | - | 0.5 |
210
- | mai | 14.6 | - | - | 14.6 |
211
- | mal | 2,730.8 | 13,130.0 | 547.8 | 16,408.6 |
212
- | mar | 2,827.0 | 10,816.7 | 652.1 | 14,295.8 |
213
- | mni | 7.4 | - | - | 7.4 |
214
- | npi | 1,822.5 | 10,588.7 | 485.5 | 12,896.7 |
215
- | ori | 1,177.1 | 11,338.0 | 23.7 | 12,538.8 |
216
- | pan | 1,075.3 | 9,969.6 | 136.9 | 11,181.8 |
217
- | san | 1,329.0 | 13,553.5 | 9.8 | 14,892.3 |
218
- | sat | 0.3 | - | - | 0.3 |
219
- | snd | 258.2 | - | - | 258.2 |
220
- | tam | 3,985.1 | 11,859.3 | 1,515.9 | 17,360.3 |
221
- | urd | 3,658.1 | 9,415.8 | 1,328.2 | 14,402.1 |
222
- | tel | 3,706.8 | 11,924.5 | 647.4 | 16,278.7 |
223
- | **Total** | **64,306.1** | **162,707.9** | **24,307.7** | **251,321.0** |
224
-
225
 
226
  To cite Sangraha, please use:
227
 
228
  ```
229
  @misc{khan2024indicllmsuite,
230
- title={IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages},
231
  author={Mohammed Safi Ur Rahman Khan and Priyam Mehta and Ananth Sankar and Umashankar Kumaravelan and Sumanth Doddapaneni and Suriyaprasaad G and Varun Balan G and Sparsh Jain and Anoop Kunchukuttan and Pratyush Kumar and Raj Dabre and Mitesh M. Khapra},
232
  year={2024},
233
  eprint={2403.06350},
234
  archivePrefix={arXiv},
235
  primaryClass={cs.CL}
236
  }
237
- ```
 
1
  ---
2
  license: cc-by-4.0
3
  task_categories:
4
+ - text-generation
5
  language:
6
+ - as
7
+ - bn
8
+ - gu
9
+ - en
10
+ - hi
11
+ - kn
12
+ - ks
13
+ - ml
14
+ - mr
15
+ - ne
16
+ - or
17
+ - pa
18
+ - sa
19
+ - sd
20
+ - ta
21
+ - te
22
+ - ur
23
  tags:
24
+ - language-modeling
25
+ - casual-lm
26
+ - llm
27
  pretty_name: sangraha
28
  dataset_info:
29
+ - config_name: verified
30
+ features:
31
+ - name: doc_id
32
+ dtype: string
33
+ - name: type
34
+ dtype: string
35
+ - name: text
36
+ dtype: string
37
+ splits:
38
+ - name: asm
39
+ - name: ben
40
+ - name: brx
41
+ - name: doi
42
+ - name: eng
43
+ - name: gom
44
+ - name: guj
45
+ - name: hin
46
+ - name: kan
47
+ - name: kas
48
+ - name: mai
49
+ - name: mal
50
+ - name: mar
51
+ - name: mni
52
+ - name: nep
53
+ - name: ori
54
+ - name: pan
55
+ - name: san
56
+ - name: sat
57
+ - name: snd
58
+ - name: tam
59
+ - name: tel
60
+ - name: urd
61
+ - config_name: unverified
62
+ features:
63
+ - name: doc_id
64
+ dtype: string
65
+ - name: text
66
+ dtype: string
67
+ splits:
68
+ - name: asm
69
+ - name: ben
70
+ - name: guj
71
+ - name: hin
72
+ - name: kan
73
+ - name: mal
74
+ - name: mar
75
+ - name: nep
76
+ - name: ori
77
+ - name: pan
78
+ - name: san
79
+ - name: tam
80
+ - name: tel
81
+ - name: urd
82
  configs:
83
+ - config_name: verified
84
+ data_files:
85
+ - split: asm
86
+ path: verified/asm/asm.*
87
+ - split: ben
88
+ path: verified/ben/ben.*
89
+ - split: brx
90
+ path: verified/brx/brx.*
91
+ - split: doi
92
+ path: verified/doi/doi.*
93
+ - split: eng
94
+ path: verified/eng/eng.*
95
+ - split: gom
96
+ path: verified/gom/gom.*
97
+ - split: guj
98
+ path: verified/guj/guj.*
99
+ - split: hin
100
+ path: verified/hin/hin.*
101
+ - split: kan
102
+ path: verified/kan/kan.*
103
+ - split: kas
104
+ path: verified/kas/kas.*
105
+ - split: mai
106
+ path: verified/mai/mai.*
107
+ - split: mal
108
+ path: verified/mal/mal.*
109
+ - split: mar
110
+ path: verified/mar/mar.*
111
+ - split: mni
112
+ path: verified/mni/mni.*
113
+ - split: nep
114
+ path: verified/nep/nep.*
115
+ - split: ori
116
+ path: verified/ori/ori.*
117
+ - split: pan
118
+ path: verified/pan/pan.*
119
+ - split: san
120
+ path: verified/san/san.*
121
+ - split: sat
122
+ path: verified/sat/sat.*
123
+ - split: snd
124
+ path: verified/snd/snd.*
125
+ - split: tam
126
+ path: verified/tam/tam.*
127
+ - split: tel
128
+ path: verified/tel/tel.*
129
+ - split: urd
130
+ path: verified/urd/urd.*
131
+ - config_name: unverified
132
+ data_files:
133
+ - split: asm
134
+ path: unverified/asm/asm.*
135
+ - split: ben
136
+ path: unverified/ben/ben.*
137
+ - split: guj
138
+ path: unverified/guj/guj.*
139
+ - split: hin
140
+ path: unverified/hin/hin.*
141
+ - split: kan
142
+ path: unverified/kan/kan.*
143
+ - split: mal
144
+ path: unverified/mal/mal.*
145
+ - split: mar
146
+ path: unverified/mar/mar.*
147
+ - split: nep
148
+ path: unverified/nep/nep.*
149
+ - split: ori
150
+ path: unverified/ori/ori.*
151
+ - split: pan
152
+ path: unverified/pan/pan.*
153
+ - split: san
154
+ path: unverified/san/san.*
155
+ - split: tam
156
+ path: unverified/tam/tam.*
157
+ - split: tel
158
+ path: unverified/tel/tel.*
159
+ - split: urd
160
+ path: unverified/urd/urd.*
161
  size_categories:
162
+ - 100B<n<1T
163
  ---
164
 
165
  # Sangraha
 
171
  Sangraha is the largest high-quality, cleaned Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations.
172
 
173
  **Coming Soon**:
174
+
175
  - Sangraha Synthetic - Translated and Romanised English Wikimedia data.
176
  - Sangraha Verified - Hindi YouTube transcribed data.
177
 
 
181
  - Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite);
182
 
183
  ## Getting Started
184
+
185
  You can download the dataset using Hugging Face datasets:
186
+
187
  ```python
188
  from datasets import load_dataset
189
 
 
191
  ```
192
 
193
  ## Background
194
+
195
  Sangraha contains three broad components:
196
+
197
  - **Sangraha Verified**: Containing scraped data from "human-verified" Websites, OCR-extracted data from high quality Indic language PDFs, transcribed data from various Indic language videos, podcasts, movies, courses, etc.
198
  - **Sangraha Unverfied**: High quality Indic language data extracted from existing multilingual corpora employing perplexity filtering using n-gram language models trained on Sangraha Verified.
199
  - **Sangraha Synthetic**: WikiMedia English translated to 14 Indic languages and further "romanised" from 14 languages by transliteration to English.
200
 
201
  ## Data Statistics
202
 
203
+ | **Lang Code** | **Verified** | **Synthetic** | **Unverified** | **Total Tokens (in Millions)** |
204
+ | ------------- | ------------ | ------------- | -------------- | ------------------------------ |
205
+ | asm | 292.1 | 11,696.4 | 17.5 | 12,006.0 |
206
+ | ben | 10,604.4 | 13,814.1 | 5,608.8 | 30,027.5 |
207
+ | brx | 1.5 | - | - | 1.5 |
208
+ | doi | 0.06 | - | - | 0.06 |
209
+ | eng | 12,759.9 | - | - | 12,759.9 |
210
+ | gom | 10.1 | - | - | 10.1 |
211
+ | guj | 3,647.9 | 12,934.5 | 597.0 | 17,179.4 |
212
+ | hin | 12,617.3 | 9,578.7 | 12,348.3 | 34,544.3 |
213
+ | kan | 1,778.3 | 12,087.4 | 388.8 | 14,254.5 |
214
+ | kas | 0.5 | - | - | 0.5 |
215
+ | mai | 14.6 | - | - | 14.6 |
216
+ | mal | 2,730.8 | 13,130.0 | 547.8 | 16,408.6 |
217
+ | mar | 2,827.0 | 10,816.7 | 652.1 | 14,295.8 |
218
+ | mni | 7.4 | - | - | 7.4 |
219
+ | npi | 1,822.5 | 10,588.7 | 485.5 | 12,896.7 |
220
+ | ori | 1,177.1 | 11,338.0 | 23.7 | 12,538.8 |
221
+ | pan | 1,075.3 | 9,969.6 | 136.9 | 11,181.8 |
222
+ | san | 1,329.0 | 13,553.5 | 9.8 | 14,892.3 |
223
+ | sat | 0.3 | - | - | 0.3 |
224
+ | snd | 258.2 | - | - | 258.2 |
225
+ | tam | 3,985.1 | 11,859.3 | 1,515.9 | 17,360.3 |
226
+ | urd | 3,658.1 | 9,415.8 | 1,328.2 | 14,402.1 |
227
+ | tel | 3,706.8 | 11,924.5 | 647.4 | 16,278.7 |
228
+ | **Total** | **64,306.1** | **162,707.9** | **24,307.7** | **251,321.0** |
 
229
 
230
  To cite Sangraha, please use:
231
 
232
  ```
233
  @misc{khan2024indicllmsuite,
234
+ title={IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages},
235
  author={Mohammed Safi Ur Rahman Khan and Priyam Mehta and Ananth Sankar and Umashankar Kumaravelan and Sumanth Doddapaneni and Suriyaprasaad G and Varun Balan G and Sparsh Jain and Anoop Kunchukuttan and Pratyush Kumar and Raj Dabre and Mitesh M. Khapra},
236
  year={2024},
237
  eprint={2403.06350},
238
  archivePrefix={arXiv},
239
  primaryClass={cs.CL}
240
  }
241
+ ```
unverified/{asm.parquet → asm/asm-0.parquet} RENAMED
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