Publish Custom GPT 40M Sangraha training snapshot
Browse filesApache 2.0 with sraivante copyright for original contributions; Sangraha raw corpus and derived tokens retain CC BY 4.0 attribution. Includes 699,050 documents, 411,919,454 train and 45,768,829 validation tokens, hashes, usage and measured conversion fidelity.
- .gitattributes +3 -60
- ATTRIBUTION.md +34 -0
- LICENSE +396 -0
- LICENSE-APACHE-2.0 +202 -0
- NOTICE +5 -0
- README.md +142 -0
- SHA256SUMS +14 -0
- artifact_integrity.json +58 -0
- bpe_tokenizer.json +0 -0
- provenance/data_audit.json +1404 -0
- provenance/upstream_README.md +348 -0
- raw/data-0.parquet +3 -0
- raw/data-1.parquet +3 -0
- tokens/train_ids.npy +3 -0
- tokens/val_ids.npy +3 -0
.gitattributes
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# Audio files - uncompressed
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ATTRIBUTION.md
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# Sangraha attribution and changes
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Corpus source: AI4Bharat, Sangraha (IndicLLMSuite).
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Source URL: https://huggingface.co/datasets/ai4bharat/sangraha
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Pinned revision: 8b813c3f62d37b2fa174d68c31e8b35ae2fe85e8
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Included source files: verified/eng/data-0.parquet and verified/eng/data-1.parquet.
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The source repository declares Creative Commons Attribution 4.0 International:
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https://creativecommons.org/licenses/by/4.0/
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The full license is preserved in LICENSE. Original content creators retain their rights.
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This release makes no claim that sraivante wrote the third-party source texts.
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Changes by sraivante / this release:
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- Selected two existing English shards for the project; raw bytes are unchanged.
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- Encoded the corpus with the project's custom 16,000-token byte-level BPE tokenizer,
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appended EOS after documents and split the token stream at 90% of total tokens.
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- Packaged the saved arrays, source identity, integrity hashes and original release documentation.
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No additional filtering, rewriting, redaction or deduplication was applied during publication.
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The tokenizer was fitted before the split; one document straddles the split.
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Please retain this attribution and cite the source authors' work:
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```bibtex
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@article{khan2024indicllmsuite,
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title = {IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages},
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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},
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year = {2024},
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journal = {arXiv preprint arXiv: 2403.06350}
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}
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```
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Copyright (c) 2026 sraivante, for original code, release documentation and original
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packaging contributions only, where applicable, under Apache License 2.0.
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See LICENSE-APACHE-2.0. This grant does not replace the corpus's CC BY 4.0 terms.
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LICENSE
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| 1 |
+
Attribution 4.0 International
|
| 2 |
+
|
| 3 |
+
=======================================================================
|
| 4 |
+
|
| 5 |
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Creative Commons Corporation ("Creative Commons") is not a law firm and
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does not provide legal services or legal advice. Distribution of
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Creative Commons public licenses does not create a lawyer-client or
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other relationship. Creative Commons makes its licenses and related
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information available on an "as-is" basis. Creative Commons gives no
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terms and conditions, or any related information. Creative Commons
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disclaims all liability for damages resulting from their use to the
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fullest extent possible.
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Using Creative Commons Public Licenses
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Creative Commons public licenses provide a standard set of terms and
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conditions that creators and other rights holders may use to share
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and certain other rights specified in the public license below. The
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following considerations are for informational purposes only, are not
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exhaustive, and do not form part of our licenses.
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Considerations for licensors: Our public licenses are
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Licensors should also secure all rights necessary before
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material as expected. Licensors should clearly mark any
|
| 33 |
+
material not subject to the license. This includes other CC-
|
| 34 |
+
licensed material, or material used under an exception or
|
| 35 |
+
limitation to copyright. More considerations for licensors:
|
| 36 |
+
wiki.creativecommons.org/Considerations_for_licensors
|
| 37 |
+
|
| 38 |
+
Considerations for the public: By using one of our public
|
| 39 |
+
licenses, a licensor grants the public permission to use the
|
| 40 |
+
licensed material under specified terms and conditions. If
|
| 41 |
+
the licensor's permission is not necessary for any reason--for
|
| 42 |
+
example, because of any applicable exception or limitation to
|
| 43 |
+
copyright--then that use is not regulated by the license. Our
|
| 44 |
+
licenses grant only permissions under copyright and certain
|
| 45 |
+
other rights that a licensor has authority to grant. Use of
|
| 46 |
+
the licensed material may still be restricted for other
|
| 47 |
+
reasons, including because others have copyright or other
|
| 48 |
+
rights in the material. A licensor may make special requests,
|
| 49 |
+
such as asking that all changes be marked or described.
|
| 50 |
+
Although not required by our licenses, you are encouraged to
|
| 51 |
+
respect those requests where reasonable. More considerations
|
| 52 |
+
for the public:
|
| 53 |
+
wiki.creativecommons.org/Considerations_for_licensees
|
| 54 |
+
|
| 55 |
+
=======================================================================
|
| 56 |
+
|
| 57 |
+
Creative Commons Attribution 4.0 International Public License
|
| 58 |
+
|
| 59 |
+
By exercising the Licensed Rights (defined below), You accept and agree
|
| 60 |
+
to be bound by the terms and conditions of this Creative Commons
|
| 61 |
+
Attribution 4.0 International Public License ("Public License"). To the
|
| 62 |
+
extent this Public License may be interpreted as a contract, You are
|
| 63 |
+
granted the Licensed Rights in consideration of Your acceptance of
|
| 64 |
+
these terms and conditions, and the Licensor grants You such rights in
|
| 65 |
+
consideration of benefits the Licensor receives from making the
|
| 66 |
+
Licensed Material available under these terms and conditions.
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
Section 1 -- Definitions.
|
| 70 |
+
|
| 71 |
+
a. Adapted Material means material subject to Copyright and Similar
|
| 72 |
+
Rights that is derived from or based upon the Licensed Material
|
| 73 |
+
and in which the Licensed Material is translated, altered,
|
| 74 |
+
arranged, transformed, or otherwise modified in a manner requiring
|
| 75 |
+
permission under the Copyright and Similar Rights held by the
|
| 76 |
+
Licensor. For purposes of this Public License, where the Licensed
|
| 77 |
+
Material is a musical work, performance, or sound recording,
|
| 78 |
+
Adapted Material is always produced where the Licensed Material is
|
| 79 |
+
synched in timed relation with a moving image.
|
| 80 |
+
|
| 81 |
+
b. Adapter's License means the license You apply to Your Copyright
|
| 82 |
+
and Similar Rights in Your contributions to Adapted Material in
|
| 83 |
+
accordance with the terms and conditions of this Public License.
|
| 84 |
+
|
| 85 |
+
c. Copyright and Similar Rights means copyright and/or similar rights
|
| 86 |
+
closely related to copyright including, without limitation,
|
| 87 |
+
performance, broadcast, sound recording, and Sui Generis Database
|
| 88 |
+
Rights, without regard to how the rights are labeled or
|
| 89 |
+
categorized. For purposes of this Public License, the rights
|
| 90 |
+
specified in Section 2(b)(1)-(2) are not Copyright and Similar
|
| 91 |
+
Rights.
|
| 92 |
+
|
| 93 |
+
d. Effective Technological Measures means those measures that, in the
|
| 94 |
+
absence of proper authority, may not be circumvented under laws
|
| 95 |
+
fulfilling obligations under Article 11 of the WIPO Copyright
|
| 96 |
+
Treaty adopted on December 20, 1996, and/or similar international
|
| 97 |
+
agreements.
|
| 98 |
+
|
| 99 |
+
e. Exceptions and Limitations means fair use, fair dealing, and/or
|
| 100 |
+
any other exception or limitation to Copyright and Similar Rights
|
| 101 |
+
that applies to Your use of the Licensed Material.
|
| 102 |
+
|
| 103 |
+
f. Licensed Material means the artistic or literary work, database,
|
| 104 |
+
or other material to which the Licensor applied this Public
|
| 105 |
+
License.
|
| 106 |
+
|
| 107 |
+
g. Licensed Rights means the rights granted to You subject to the
|
| 108 |
+
terms and conditions of this Public License, which are limited to
|
| 109 |
+
all Copyright and Similar Rights that apply to Your use of the
|
| 110 |
+
Licensed Material and that the Licensor has authority to license.
|
| 111 |
+
|
| 112 |
+
h. Licensor means the individual(s) or entity(ies) granting rights
|
| 113 |
+
under this Public License.
|
| 114 |
+
|
| 115 |
+
i. Share means to provide material to the public by any means or
|
| 116 |
+
process that requires permission under the Licensed Rights, such
|
| 117 |
+
as reproduction, public display, public performance, distribution,
|
| 118 |
+
dissemination, communication, or importation, and to make material
|
| 119 |
+
available to the public including in ways that members of the
|
| 120 |
+
public may access the material from a place and at a time
|
| 121 |
+
individually chosen by them.
|
| 122 |
+
|
| 123 |
+
j. Sui Generis Database Rights means rights other than copyright
|
| 124 |
+
resulting from Directive 96/9/EC of the European Parliament and of
|
| 125 |
+
the Council of 11 March 1996 on the legal protection of databases,
|
| 126 |
+
as amended and/or succeeded, as well as other essentially
|
| 127 |
+
equivalent rights anywhere in the world.
|
| 128 |
+
|
| 129 |
+
k. You means the individual or entity exercising the Licensed Rights
|
| 130 |
+
under this Public License. Your has a corresponding meaning.
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
Section 2 -- Scope.
|
| 134 |
+
|
| 135 |
+
a. License grant.
|
| 136 |
+
|
| 137 |
+
1. Subject to the terms and conditions of this Public License,
|
| 138 |
+
the Licensor hereby grants You a worldwide, royalty-free,
|
| 139 |
+
non-sublicensable, non-exclusive, irrevocable license to
|
| 140 |
+
exercise the Licensed Rights in the Licensed Material to:
|
| 141 |
+
|
| 142 |
+
a. reproduce and Share the Licensed Material, in whole or
|
| 143 |
+
in part; and
|
| 144 |
+
|
| 145 |
+
b. produce, reproduce, and Share Adapted Material.
|
| 146 |
+
|
| 147 |
+
2. Exceptions and Limitations. For the avoidance of doubt, where
|
| 148 |
+
Exceptions and Limitations apply to Your use, this Public
|
| 149 |
+
License does not apply, and You do not need to comply with
|
| 150 |
+
its terms and conditions.
|
| 151 |
+
|
| 152 |
+
3. Term. The term of this Public License is specified in Section
|
| 153 |
+
6(a).
|
| 154 |
+
|
| 155 |
+
4. Media and formats; technical modifications allowed. The
|
| 156 |
+
Licensor authorizes You to exercise the Licensed Rights in
|
| 157 |
+
all media and formats whether now known or hereafter created,
|
| 158 |
+
and to make technical modifications necessary to do so. The
|
| 159 |
+
Licensor waives and/or agrees not to assert any right or
|
| 160 |
+
authority to forbid You from making technical modifications
|
| 161 |
+
necessary to exercise the Licensed Rights, including
|
| 162 |
+
technical modifications necessary to circumvent Effective
|
| 163 |
+
Technological Measures. For purposes of this Public License,
|
| 164 |
+
simply making modifications authorized by this Section 2(a)
|
| 165 |
+
(4) never produces Adapted Material.
|
| 166 |
+
|
| 167 |
+
5. Downstream recipients.
|
| 168 |
+
|
| 169 |
+
a. Offer from the Licensor -- Licensed Material. Every
|
| 170 |
+
recipient of the Licensed Material automatically
|
| 171 |
+
receives an offer from the Licensor to exercise the
|
| 172 |
+
Licensed Rights under the terms and conditions of this
|
| 173 |
+
Public License.
|
| 174 |
+
|
| 175 |
+
b. No downstream restrictions. You may not offer or impose
|
| 176 |
+
any additional or different terms or conditions on, or
|
| 177 |
+
apply any Effective Technological Measures to, the
|
| 178 |
+
Licensed Material if doing so restricts exercise of the
|
| 179 |
+
Licensed Rights by any recipient of the Licensed
|
| 180 |
+
Material.
|
| 181 |
+
|
| 182 |
+
6. No endorsement. Nothing in this Public License constitutes or
|
| 183 |
+
may be construed as permission to assert or imply that You
|
| 184 |
+
are, or that Your use of the Licensed Material is, connected
|
| 185 |
+
with, or sponsored, endorsed, or granted official status by,
|
| 186 |
+
the Licensor or others designated to receive attribution as
|
| 187 |
+
provided in Section 3(a)(1)(A)(i).
|
| 188 |
+
|
| 189 |
+
b. Other rights.
|
| 190 |
+
|
| 191 |
+
1. Moral rights, such as the right of integrity, are not
|
| 192 |
+
licensed under this Public License, nor are publicity,
|
| 193 |
+
privacy, and/or other similar personality rights; however, to
|
| 194 |
+
the extent possible, the Licensor waives and/or agrees not to
|
| 195 |
+
assert any such rights held by the Licensor to the limited
|
| 196 |
+
extent necessary to allow You to exercise the Licensed
|
| 197 |
+
Rights, but not otherwise.
|
| 198 |
+
|
| 199 |
+
2. Patent and trademark rights are not licensed under this
|
| 200 |
+
Public License.
|
| 201 |
+
|
| 202 |
+
3. To the extent possible, the Licensor waives any right to
|
| 203 |
+
collect royalties from You for the exercise of the Licensed
|
| 204 |
+
Rights, whether directly or through a collecting society
|
| 205 |
+
under any voluntary or waivable statutory or compulsory
|
| 206 |
+
licensing scheme. In all other cases the Licensor expressly
|
| 207 |
+
reserves any right to collect such royalties.
|
| 208 |
+
|
| 209 |
+
|
| 210 |
+
Section 3 -- License Conditions.
|
| 211 |
+
|
| 212 |
+
Your exercise of the Licensed Rights is expressly made subject to the
|
| 213 |
+
following conditions.
|
| 214 |
+
|
| 215 |
+
a. Attribution.
|
| 216 |
+
|
| 217 |
+
1. If You Share the Licensed Material (including in modified
|
| 218 |
+
form), You must:
|
| 219 |
+
|
| 220 |
+
a. retain the following if it is supplied by the Licensor
|
| 221 |
+
with the Licensed Material:
|
| 222 |
+
|
| 223 |
+
i. identification of the creator(s) of the Licensed
|
| 224 |
+
Material and any others designated to receive
|
| 225 |
+
attribution, in any reasonable manner requested by
|
| 226 |
+
the Licensor (including by pseudonym if
|
| 227 |
+
designated);
|
| 228 |
+
|
| 229 |
+
ii. a copyright notice;
|
| 230 |
+
|
| 231 |
+
iii. a notice that refers to this Public License;
|
| 232 |
+
|
| 233 |
+
iv. a notice that refers to the disclaimer of
|
| 234 |
+
warranties;
|
| 235 |
+
|
| 236 |
+
v. a URI or hyperlink to the Licensed Material to the
|
| 237 |
+
extent reasonably practicable;
|
| 238 |
+
|
| 239 |
+
b. indicate if You modified the Licensed Material and
|
| 240 |
+
retain an indication of any previous modifications; and
|
| 241 |
+
|
| 242 |
+
c. indicate the Licensed Material is licensed under this
|
| 243 |
+
Public License, and include the text of, or the URI or
|
| 244 |
+
hyperlink to, this Public License.
|
| 245 |
+
|
| 246 |
+
2. You may satisfy the conditions in Section 3(a)(1) in any
|
| 247 |
+
reasonable manner based on the medium, means, and context in
|
| 248 |
+
which You Share the Licensed Material. For example, it may be
|
| 249 |
+
reasonable to satisfy the conditions by providing a URI or
|
| 250 |
+
hyperlink to a resource that includes the required
|
| 251 |
+
information.
|
| 252 |
+
|
| 253 |
+
3. If requested by the Licensor, You must remove any of the
|
| 254 |
+
information required by Section 3(a)(1)(A) to the extent
|
| 255 |
+
reasonably practicable.
|
| 256 |
+
|
| 257 |
+
4. If You Share Adapted Material You produce, the Adapter's
|
| 258 |
+
License You apply must not prevent recipients of the Adapted
|
| 259 |
+
Material from complying with this Public License.
|
| 260 |
+
|
| 261 |
+
|
| 262 |
+
Section 4 -- Sui Generis Database Rights.
|
| 263 |
+
|
| 264 |
+
Where the Licensed Rights include Sui Generis Database Rights that
|
| 265 |
+
apply to Your use of the Licensed Material:
|
| 266 |
+
|
| 267 |
+
a. for the avoidance of doubt, Section 2(a)(1) grants You the right
|
| 268 |
+
to extract, reuse, reproduce, and Share all or a substantial
|
| 269 |
+
portion of the contents of the database;
|
| 270 |
+
|
| 271 |
+
b. if You include all or a substantial portion of the database
|
| 272 |
+
contents in a database in which You have Sui Generis Database
|
| 273 |
+
Rights, then the database in which You have Sui Generis Database
|
| 274 |
+
Rights (but not its individual contents) is Adapted Material; and
|
| 275 |
+
|
| 276 |
+
c. You must comply with the conditions in Section 3(a) if You Share
|
| 277 |
+
all or a substantial portion of the contents of the database.
|
| 278 |
+
|
| 279 |
+
For the avoidance of doubt, this Section 4 supplements and does not
|
| 280 |
+
replace Your obligations under this Public License where the Licensed
|
| 281 |
+
Rights include other Copyright and Similar Rights.
|
| 282 |
+
|
| 283 |
+
|
| 284 |
+
Section 5 -- Disclaimer of Warranties and Limitation of Liability.
|
| 285 |
+
|
| 286 |
+
a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
|
| 287 |
+
EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
|
| 288 |
+
AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
|
| 289 |
+
ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
|
| 290 |
+
IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
|
| 291 |
+
WARRANTIES OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR
|
| 292 |
+
PURPOSE, NON-INFRINGEMENT, ABSENCE OF LATENT OR OTHER DEFECTS,
|
| 293 |
+
ACCURACY, OR THE PRESENCE OR ABSENCE OF ERRORS, WHETHER OR NOT
|
| 294 |
+
KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
|
| 295 |
+
ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU.
|
| 296 |
+
|
| 297 |
+
b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE
|
| 298 |
+
TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION,
|
| 299 |
+
NEGLIGENCE) OR OTHERWISE FOR ANY DIRECT, SPECIAL, INDIRECT,
|
| 300 |
+
INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES,
|
| 301 |
+
COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR
|
| 302 |
+
USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN
|
| 303 |
+
ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR
|
| 304 |
+
DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR
|
| 305 |
+
IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
|
| 306 |
+
|
| 307 |
+
c. The disclaimer of warranties and limitation of liability provided
|
| 308 |
+
above shall be interpreted in a manner that, to the extent
|
| 309 |
+
possible, most closely approximates an absolute disclaimer and
|
| 310 |
+
waiver of all liability.
|
| 311 |
+
|
| 312 |
+
|
| 313 |
+
Section 6 -- Term and Termination.
|
| 314 |
+
|
| 315 |
+
a. This Public License applies for the term of the Copyright and
|
| 316 |
+
Similar Rights licensed here. However, if You fail to comply with
|
| 317 |
+
this Public License, then Your rights under this Public License
|
| 318 |
+
terminate automatically.
|
| 319 |
+
|
| 320 |
+
b. Where Your right to use the Licensed Material has terminated under
|
| 321 |
+
Section 6(a), it reinstates:
|
| 322 |
+
|
| 323 |
+
1. automatically as of the date the violation is cured, provided
|
| 324 |
+
it is cured within 30 days of Your discovery of the
|
| 325 |
+
violation; or
|
| 326 |
+
|
| 327 |
+
2. upon express reinstatement by the Licensor.
|
| 328 |
+
|
| 329 |
+
For the avoidance of doubt, this Section 6(b) does not affect any
|
| 330 |
+
right the Licensor may have to seek remedies for Your violations
|
| 331 |
+
of this Public License.
|
| 332 |
+
|
| 333 |
+
c. For the avoidance of doubt, the Licensor may also offer the
|
| 334 |
+
Licensed Material under separate terms or conditions or stop
|
| 335 |
+
distributing the Licensed Material at any time; however, doing so
|
| 336 |
+
will not terminate this Public License.
|
| 337 |
+
|
| 338 |
+
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
|
| 339 |
+
License.
|
| 340 |
+
|
| 341 |
+
|
| 342 |
+
Section 7 -- Other Terms and Conditions.
|
| 343 |
+
|
| 344 |
+
a. The Licensor shall not be bound by any additional or different
|
| 345 |
+
terms or conditions communicated by You unless expressly agreed.
|
| 346 |
+
|
| 347 |
+
b. Any arrangements, understandings, or agreements regarding the
|
| 348 |
+
Licensed Material not stated herein are separate from and
|
| 349 |
+
independent of the terms and conditions of this Public License.
|
| 350 |
+
|
| 351 |
+
|
| 352 |
+
Section 8 -- Interpretation.
|
| 353 |
+
|
| 354 |
+
a. For the avoidance of doubt, this Public License does not, and
|
| 355 |
+
shall not be interpreted to, reduce, limit, restrict, or impose
|
| 356 |
+
conditions on any use of the Licensed Material that could lawfully
|
| 357 |
+
be made without permission under this Public License.
|
| 358 |
+
|
| 359 |
+
b. To the extent possible, if any provision of this Public License is
|
| 360 |
+
deemed unenforceable, it shall be automatically reformed to the
|
| 361 |
+
minimum extent necessary to make it enforceable. If the provision
|
| 362 |
+
cannot be reformed, it shall be severed from this Public License
|
| 363 |
+
without affecting the enforceability of the remaining terms and
|
| 364 |
+
conditions.
|
| 365 |
+
|
| 366 |
+
c. No term or condition of this Public License will be waived and no
|
| 367 |
+
failure to comply consented to unless expressly agreed to by the
|
| 368 |
+
Licensor.
|
| 369 |
+
|
| 370 |
+
d. Nothing in this Public License constitutes or may be interpreted
|
| 371 |
+
as a limitation upon, or waiver of, any privileges and immunities
|
| 372 |
+
that apply to the Licensor or You, including from the legal
|
| 373 |
+
processes of any jurisdiction or authority.
|
| 374 |
+
|
| 375 |
+
|
| 376 |
+
=======================================================================
|
| 377 |
+
|
| 378 |
+
Creative Commons is not a party to its public
|
| 379 |
+
licenses. Notwithstanding, Creative Commons may elect to apply one of
|
| 380 |
+
its public licenses to material it publishes and in those instances
|
| 381 |
+
will be considered the “Licensor.” The text of the Creative Commons
|
| 382 |
+
public licenses is dedicated to the public domain under the CC0 Public
|
| 383 |
+
Domain Dedication. Except for the limited purpose of indicating that
|
| 384 |
+
material is shared under a Creative Commons public license or as
|
| 385 |
+
otherwise permitted by the Creative Commons policies published at
|
| 386 |
+
creativecommons.org/policies, Creative Commons does not authorize the
|
| 387 |
+
use of the trademark "Creative Commons" or any other trademark or logo
|
| 388 |
+
of Creative Commons without its prior written consent including,
|
| 389 |
+
without limitation, in connection with any unauthorized modifications
|
| 390 |
+
to any of its public licenses or any other arrangements,
|
| 391 |
+
understandings, or agreements concerning use of licensed material. For
|
| 392 |
+
the avoidance of doubt, this paragraph does not form part of the
|
| 393 |
+
public licenses.
|
| 394 |
+
|
| 395 |
+
Creative Commons may be contacted at creativecommons.org.
|
| 396 |
+
|
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|
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Apache License
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NOTICE
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
AI4Bharat Sangraha English subset and derived token streams: CC BY 4.0.
|
| 2 |
+
See ATTRIBUTION.md, LICENSE and provenance/upstream_README.md.
|
| 3 |
+
Copyright (c) 2026 sraivante applies only to original project code, release
|
| 4 |
+
documentation and original packaging contributions where applicable, licensed
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| 5 |
+
under Apache License 2.0 (LICENSE-APACHE-2.0). Source texts are third-party works.
|
README.md
ADDED
|
@@ -0,0 +1,142 @@
|
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|
|
| 1 |
+
---
|
| 2 |
+
pretty_name: Custom GPT 40M Sangraha Subset
|
| 3 |
+
license: cc-by-4.0
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
task_categories:
|
| 7 |
+
- text-generation
|
| 8 |
+
tags:
|
| 9 |
+
- language-modeling
|
| 10 |
+
- sangraha
|
| 11 |
+
- tokenized
|
| 12 |
+
- provenance
|
| 13 |
+
size_categories:
|
| 14 |
+
- 100K<n<1M
|
| 15 |
+
configs:
|
| 16 |
+
- config_name: corpus
|
| 17 |
+
default: true
|
| 18 |
+
data_files:
|
| 19 |
+
- split: corpus
|
| 20 |
+
path: raw/*.parquet
|
| 21 |
+
dataset_info:
|
| 22 |
+
config_name: corpus
|
| 23 |
+
features:
|
| 24 |
+
- name: doc_id
|
| 25 |
+
dtype: string
|
| 26 |
+
- name: text
|
| 27 |
+
dtype: string
|
| 28 |
+
- name: type
|
| 29 |
+
dtype: string
|
| 30 |
+
splits:
|
| 31 |
+
- name: corpus
|
| 32 |
+
num_examples: 699050
|
| 33 |
+
---
|
| 34 |
+
|
| 35 |
+
# Custom GPT 40M — Sangraha training snapshot
|
| 36 |
+
|
| 37 |
+
This repository preserves the raw English corpus and saved token streams associated with **[sraivante/Custom-GPT-40M-Base](https://huggingface.co/sraivante/Custom-GPT-40M-Base)**, a 39.85M-parameter model trained from scratch in the CUSTOM_LLM3 / CUSTOM_LLM_OLLAMA_IMPORT project.
|
| 38 |
+
|
| 39 |
+
The corpus is an unchanged two-shard subset of **AI4Bharat Sangraha**, not original writing by sraivante. Original article authors, publishers, speakers and other contributors retain their rights. The corpus and its tokenized representation retain **CC BY 4.0** terms and upstream attribution.
|
| 40 |
+
|
| 41 |
+
## Contents
|
| 42 |
+
|
| 43 |
+
| Artifact | Records / tokens | Storage |
|
| 44 |
+
|---|---:|---|
|
| 45 |
+
| `raw/data-0.parquet` | 349,525 documents | Original Parquet |
|
| 46 |
+
| `raw/data-1.parquet` | 349,525 documents | Original Parquet |
|
| 47 |
+
| `tokens/train_ids.npy` | 411,919,454 tokens | One-dimensional uint16 NumPy array |
|
| 48 |
+
| `tokens/val_ids.npy` | 45,768,829 tokens | One-dimensional uint16 NumPy array |
|
| 49 |
+
| `bpe_tokenizer.json` | 16,000 vocabulary entries | Original tokenizer |
|
| 50 |
+
| `provenance/data_audit.json` | Hashes, source identity, split details and verification | JSON |
|
| 51 |
+
|
| 52 |
+
The raw corpus contains **699,050 documents**: 689,417 tagged `web`, 9,578 `pdf` and 55 `speech`. Its exact original fields are:
|
| 53 |
+
|
| 54 |
+
| Field | Type | Meaning |
|
| 55 |
+
|---|---|---|
|
| 56 |
+
| `doc_id` | string | Original upstream document identifier |
|
| 57 |
+
| `text` | string | Extracted text used for tokenization |
|
| 58 |
+
| `type` | string | Upstream content category |
|
| 59 |
+
|
| 60 |
+
No null values were found in these three columns. The combined encoded corpus contains **457,688,283 tokens**, including 699,050 document-ending EOS markers.
|
| 61 |
+
|
| 62 |
+
## Source and attribution
|
| 63 |
+
|
| 64 |
+
- Dataset: [AI4Bharat Sangraha](https://huggingface.co/datasets/ai4bharat/sangraha)
|
| 65 |
+
- Pinned revision: `8b813c3f62d37b2fa174d68c31e8b35ae2fe85e8`
|
| 66 |
+
- Source files: [verified/eng/data-0.parquet](https://huggingface.co/datasets/ai4bharat/sangraha/blob/8b813c3f62d37b2fa174d68c31e8b35ae2fe85e8/verified/eng/data-0.parquet) and [verified/eng/data-1.parquet](https://huggingface.co/datasets/ai4bharat/sangraha/blob/8b813c3f62d37b2fa174d68c31e8b35ae2fe85e8/verified/eng/data-1.parquet)
|
| 67 |
+
- Upstream license: [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/)
|
| 68 |
+
- Research paper: [IndicLLMSuite](https://arxiv.org/abs/2403.06350)
|
| 69 |
+
- Preserved upstream description and citation: [provenance/upstream_README.md](provenance/upstream_README.md)
|
| 70 |
+
- Credit and modification statement: [ATTRIBUTION.md](ATTRIBUTION.md)
|
| 71 |
+
|
| 72 |
+
Both raw files are byte-for-byte identical to that upstream revision, verified using the upstream LFS SHA-256 identifiers. Raw data was not rewritten, shuffled or filtered for this release.
|
| 73 |
+
|
| 74 |
+
The tokenized files are the project's saved arrays. They encode the original text in shard order with one `<eos>` token after each document. This tokenization and the train/validation split are transformations of the upstream corpus.
|
| 75 |
+
|
| 76 |
+
## Splitting and historical identity
|
| 77 |
+
|
| 78 |
+
The notebook concatenates `data-0.parquet` then `data-1.parquet`, encodes texts using its custom BPE tokenizer, appends EOS, and cuts at `floor(0.9 * total_tokens)`. The training array is the prefix and validation is the suffix.
|
| 79 |
+
|
| 80 |
+
**The split is not document-disjoint.** Document index 629,027, counting from zero, contributes 1,620 tokens to training and its remaining 294 tokens to validation. The tokenizer is fitted before this split in the notebook and can therefore learn vocabulary from validation text.
|
| 81 |
+
|
| 82 |
+
Raw documents are exposed as a single `corpus` split. This avoids assigning entire documents to token-level train/validation splits they do not exactly match. Use the saved arrays for the exact training/validation boundaries.
|
| 83 |
+
|
| 84 |
+
The packaged raw hashes match the upstream snapshot. All 261 deterministic sampled documents, including shard endpoints and the split-boundary document, reproduced their saved token spans exactly. This was a sample-based token reconstruction check, not a complete re-tokenization. The arrays have complete SHA-256 hashes and are copied unchanged from the local training artifacts. Their counts, matching samples, notebook and checkpoint metadata support the association with the run; the historical run has no external file-access log.
|
| 85 |
+
|
| 86 |
+
There is no separate test split or instruction fine-tuning dataset for this model. The reported validation loss uses random token windows from `val_ids.npy`.
|
| 87 |
+
|
| 88 |
+
## Load the corpus
|
| 89 |
+
|
| 90 |
+
```python
|
| 91 |
+
from datasets import load_dataset
|
| 92 |
+
|
| 93 |
+
corpus = load_dataset(
|
| 94 |
+
"sraivante/Custom-GPT-40M-Sangraha-Subset",
|
| 95 |
+
"corpus",
|
| 96 |
+
split="corpus",
|
| 97 |
+
streaming=True,
|
| 98 |
+
)
|
| 99 |
+
row = next(iter(corpus))
|
| 100 |
+
print(row.keys()) # doc_id, text, type
|
| 101 |
+
```
|
| 102 |
+
|
| 103 |
+
## Load the exact token streams
|
| 104 |
+
|
| 105 |
+
```python
|
| 106 |
+
import numpy as np
|
| 107 |
+
from huggingface_hub import hf_hub_download
|
| 108 |
+
from tokenizers import Tokenizer
|
| 109 |
+
|
| 110 |
+
repo = "sraivante/Custom-GPT-40M-Sangraha-Subset"
|
| 111 |
+
train_path = hf_hub_download(repo, "tokens/train_ids.npy", repo_type="dataset")
|
| 112 |
+
val_path = hf_hub_download(repo, "tokens/val_ids.npy", repo_type="dataset")
|
| 113 |
+
tok_path = hf_hub_download(repo, "bpe_tokenizer.json", repo_type="dataset")
|
| 114 |
+
|
| 115 |
+
train = np.load(train_path, mmap_mode="r", allow_pickle=False)
|
| 116 |
+
val = np.load(val_path, mmap_mode="r", allow_pickle=False)
|
| 117 |
+
tokenizer = Tokenizer.from_file(tok_path)
|
| 118 |
+
|
| 119 |
+
assert train.shape == (411919454,)
|
| 120 |
+
assert val.shape == (45768829,)
|
| 121 |
+
# Next-token training window; promote uint16 IDs to int64 for PyTorch.
|
| 122 |
+
x = train[:256].astype("int64")
|
| 123 |
+
y = train[1:257].astype("int64")
|
| 124 |
+
```
|
| 125 |
+
|
| 126 |
+
Special tokens: `<unk>=0`, `<pad>=1`, `<bos>=2`, `<eos>=3`. The tokenizer uses byte-level BPE with `add_prefix_space=True`; it does not automatically insert BOS or EOS. The corpus tokenizer was trained on text with line breaks normalized for tokenizer training, while the saved token arrays encode original text. Not every possible character is necessarily covered by its learned vocabulary.
|
| 127 |
+
|
| 128 |
+
The raw files and arrays require approximately 2.11 GB together, before any Arrow cache or model files. Pin a repository commit in `revision=...` for later reproducibility; file hashes are also included in `SHA256SUMS`.
|
| 129 |
+
|
| 130 |
+
## Appropriate uses and limitations
|
| 131 |
+
|
| 132 |
+
This snapshot supports reproducibility, English causal language modeling and small-model experiments. It represents only two English shards of Sangraha. It is not a representative sample of all English or all of Sangraha, and it contains no instruction/response annotations.
|
| 133 |
+
|
| 134 |
+
Web articles, PDF extractions and transcriptions may contain mistakes, duplicated text, extraction noise, biases, offensive material, and names or other personal information that was present in the public sources. No additional de-identification, redaction, deduplication or content moderation was performed for this publication. The data should not be treated as verified ground truth or an independent downstream benchmark.
|
| 135 |
+
|
| 136 |
+
## Copyright and licensing
|
| 137 |
+
|
| 138 |
+
The **corpus and token arrays are CC BY 4.0**; preserve AI4Bharat / Sangraha attribution, acknowledge original content creators, link the license and state your modifications. See [LICENSE](LICENSE) and [ATTRIBUTION.md](ATTRIBUTION.md).
|
| 139 |
+
|
| 140 |
+
**Copyright (c) 2026 sraivante** applies only to original project code, original release documentation and original packaging contributions where copyright exists. Those contributions are licensed under [Apache License 2.0](LICENSE-APACHE-2.0). This does not transfer ownership of, or relicense, the third-party text. The model weights have their own Apache-2.0 release.
|
| 141 |
+
|
| 142 |
+
Snapshot version: **2026-09-25**. Model, dataset, tokenizer, source revision and hashes are linked for this authorized release.
|
SHA256SUMS
ADDED
|
@@ -0,0 +1,14 @@
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|
| 1 |
+
b8318ac40ad81eb21cc8f20261fc3242cba76119cac05cf5f717b7c6f16d497d .gitattributes
|
| 2 |
+
9fe9c519e898fa33a38f294604ff1a8057d7f5f2b853191893d0d81e5568911a artifact_integrity.json
|
| 3 |
+
54db7ec78aa51785651c913cdac0580ede00d574c2bf48727e95b9099824710e ATTRIBUTION.md
|
| 4 |
+
178a7ba7499dc94c3dbe3c52f1ba5e5db3c737018b9b361211ea8b6f28a7f60f bpe_tokenizer.json
|
| 5 |
+
9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411 LICENSE
|
| 6 |
+
3ddf9be5c28fe27dad143a5dc76eea25222ad1dd68934a047064e56ed2fa40c5 LICENSE-APACHE-2.0
|
| 7 |
+
88663b3c4f85e0f0abb019f0cf456c30f7069ca990f56d6731441bc240b02816 NOTICE
|
| 8 |
+
59eb225e402099af329eb8fcbdea3316061b4d60af45dad0f98c68a31e0df103 provenance/data_audit.json
|
| 9 |
+
93803f5c71a78da1a22ddf1753f0e4114cb837b3ac8e789b4ec2a88a12ddb637 provenance/upstream_README.md
|
| 10 |
+
3c080ef54239f17351162353e9ee957f9fdd6d158570e27186480805231bdade raw/data-0.parquet
|
| 11 |
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5fadacb535e8eeb17326cf909e86e54aa49d8ad189da73e5801a08e358f5375e raw/data-1.parquet
|
| 12 |
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dbff7dd854e5ec60d86902c83d895bfe76c699dcf83580126f85dc3a8900cf38 README.md
|
| 13 |
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11268ecb2281adf1cdc6340df8f9517931afa2af166aa5099a114edb69e6210b tokens/train_ids.npy
|
| 14 |
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c9f6e7c13916ce8987a9caa80bfef4957e648ade97f30ffbb9ebacd943e736ee tokens/val_ids.npy
|
artifact_integrity.json
ADDED
|
@@ -0,0 +1,58 @@
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|
| 1 |
+
{
|
| 2 |
+
"version": "2026-09-25",
|
| 3 |
+
"covers": "All payload files except artifact_integrity.json and SHA256SUMS",
|
| 4 |
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"files": {
|
| 5 |
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".gitattributes": {
|
| 6 |
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"bytes": 141,
|
| 7 |
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| 8 |
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| 9 |
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"ATTRIBUTION.md": {
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| 10 |
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|
| 11 |
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"sha256": "54db7ec78aa51785651c913cdac0580ede00d574c2bf48727e95b9099824710e"
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| 12 |
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| 13 |
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"bpe_tokenizer.json": {
|
| 14 |
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"bytes": 1107259,
|
| 15 |
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"sha256": "178a7ba7499dc94c3dbe3c52f1ba5e5db3c737018b9b361211ea8b6f28a7f60f"
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| 16 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 24 |
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| 25 |
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"NOTICE": {
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| 26 |
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|
| 27 |
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| 28 |
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|
| 30 |
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|
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| 34 |
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| 38 |
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| 39 |
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|
| 42 |
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|
| 43 |
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| 44 |
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| 46 |
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| 47 |
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| 48 |
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|
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"tokens/train_ids.npy": {
|
| 50 |
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"bytes": 823839036,
|
| 51 |
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| 52 |
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|
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"tokens/val_ids.npy": {
|
| 54 |
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|
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|
| 56 |
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|
| 57 |
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|
| 58 |
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}
|
bpe_tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
provenance/data_audit.json
ADDED
|
@@ -0,0 +1,1404 @@
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| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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| 4 |
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| 5 |
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
+
"CUSTOM_LLM_OLLAMA_IMPORT"
|
| 9 |
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],
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| 10 |
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|
| 11 |
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|
| 12 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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"training_notebook_sha256": "6dcddbcbec22b59c15ba360021f3e9495539383fb24448a946c2d1dd660d1aca",
|
| 1401 |
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"both_source_notebooks_identical": true,
|
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"notebook_saved_outputs": 0,
|
| 1403 |
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"copyright_scope": "sraivante: original model, training code and release documentation only; Sangraha and underlying texts retain upstream attribution and CC BY 4.0 terms."
|
| 1404 |
+
}
|
provenance/upstream_README.md
ADDED
|
@@ -0,0 +1,348 @@
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|
|
|
| 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 |
+
- config_name: synthetic
|
| 83 |
+
features:
|
| 84 |
+
- name: doc_id
|
| 85 |
+
dtype: string
|
| 86 |
+
- name: text
|
| 87 |
+
dtype: string
|
| 88 |
+
splits:
|
| 89 |
+
- name: asm_Beng
|
| 90 |
+
- name: asm_Latn
|
| 91 |
+
- name: ben_Beng
|
| 92 |
+
- name: ben_Latn
|
| 93 |
+
- name: guj_Gujr
|
| 94 |
+
- name: guj_Latn
|
| 95 |
+
- name: hin_Deva
|
| 96 |
+
- name: hin_Latn
|
| 97 |
+
- name: kan_Knda
|
| 98 |
+
- name: kan_Latn
|
| 99 |
+
- name: mal_Mlym
|
| 100 |
+
- name: mal_Latn
|
| 101 |
+
- name: mar_Deva
|
| 102 |
+
- name: mar_Latn
|
| 103 |
+
- name: npi_Deva
|
| 104 |
+
- name: npi_Latn
|
| 105 |
+
- name: ory_Orya
|
| 106 |
+
- name: ory_Latn
|
| 107 |
+
- name: pan_Guru
|
| 108 |
+
- name: pan_Latn
|
| 109 |
+
- name: san_Deva
|
| 110 |
+
- name: san_Latn
|
| 111 |
+
- name: tam_Taml
|
| 112 |
+
- name: tam_Latn
|
| 113 |
+
- name: tel_Telu
|
| 114 |
+
- name: tel_Latn
|
| 115 |
+
- name: urd_Arab
|
| 116 |
+
- name: urd_Latn
|
| 117 |
+
|
| 118 |
+
configs:
|
| 119 |
+
- config_name: verified
|
| 120 |
+
data_files:
|
| 121 |
+
- split: asm
|
| 122 |
+
path: verified/asm/*.parquet
|
| 123 |
+
- split: ben
|
| 124 |
+
path: verified/ben/*.parquet
|
| 125 |
+
- split: brx
|
| 126 |
+
path: verified/brx/*.parquet
|
| 127 |
+
- split: doi
|
| 128 |
+
path: verified/doi/*.parquet
|
| 129 |
+
- split: eng
|
| 130 |
+
path: verified/eng/*.parquet
|
| 131 |
+
- split: gom
|
| 132 |
+
path: verified/gom/*.parquet
|
| 133 |
+
- split: guj
|
| 134 |
+
path: verified/guj/*.parquet
|
| 135 |
+
- split: hin
|
| 136 |
+
path: verified/hin/*.parquet
|
| 137 |
+
- split: kan
|
| 138 |
+
path: verified/kan/*.parquet
|
| 139 |
+
- split: kas
|
| 140 |
+
path: verified/kas/*.parquet
|
| 141 |
+
- split: mai
|
| 142 |
+
path: verified/mai/*.parquet
|
| 143 |
+
- split: mal
|
| 144 |
+
path: verified/mal/*.parquet
|
| 145 |
+
- split: mar
|
| 146 |
+
path: verified/mar/*.parquet
|
| 147 |
+
- split: mni
|
| 148 |
+
path: verified/mni/*.parquet
|
| 149 |
+
- split: nep
|
| 150 |
+
path: verified/nep/*.parquet
|
| 151 |
+
- split: ori
|
| 152 |
+
path: verified/ori/*.parquet
|
| 153 |
+
- split: pan
|
| 154 |
+
path: verified/pan/*.parquet
|
| 155 |
+
- split: san
|
| 156 |
+
path: verified/san/*.parquet
|
| 157 |
+
- split: sat
|
| 158 |
+
path: verified/sat/*.parquet
|
| 159 |
+
- split: snd
|
| 160 |
+
path: verified/snd/*.parquet
|
| 161 |
+
- split: tam
|
| 162 |
+
path: verified/tam/*.parquet
|
| 163 |
+
- split: tel
|
| 164 |
+
path: verified/tel/*.parquet
|
| 165 |
+
- split: urd
|
| 166 |
+
path: verified/urd/*.parquet
|
| 167 |
+
- config_name: unverified
|
| 168 |
+
data_files:
|
| 169 |
+
- split: asm
|
| 170 |
+
path: unverified/asm/*.parquet
|
| 171 |
+
- split: ben
|
| 172 |
+
path: unverified/ben/*.parquet
|
| 173 |
+
- split: guj
|
| 174 |
+
path: unverified/guj/*.parquet
|
| 175 |
+
- split: hin
|
| 176 |
+
path: unverified/hin/*.parquet
|
| 177 |
+
- split: kan
|
| 178 |
+
path: unverified/kan/*.parquet
|
| 179 |
+
- split: mal
|
| 180 |
+
path: unverified/mal/*.parquet
|
| 181 |
+
- split: mar
|
| 182 |
+
path: unverified/mar/*.parquet
|
| 183 |
+
- split: nep
|
| 184 |
+
path: unverified/nep/*.parquet
|
| 185 |
+
- split: ori
|
| 186 |
+
path: unverified/ori/*.parquet
|
| 187 |
+
- split: pan
|
| 188 |
+
path: unverified/pan/*.parquet
|
| 189 |
+
- split: san
|
| 190 |
+
path: unverified/san/*.parquet
|
| 191 |
+
- split: tam
|
| 192 |
+
path: unverified/tam/*.parquet
|
| 193 |
+
- split: tel
|
| 194 |
+
path: unverified/tel/*.parquet
|
| 195 |
+
- split: urd
|
| 196 |
+
path: unverified/urd/*.parquet
|
| 197 |
+
- config_name: synthetic
|
| 198 |
+
data_files:
|
| 199 |
+
- split: asm_Beng
|
| 200 |
+
path: synthetic/asm_Beng/*.parquet
|
| 201 |
+
- split: asm_Latn
|
| 202 |
+
path: synthetic/asm_Latn/*.parquet
|
| 203 |
+
- split: ben_Beng
|
| 204 |
+
path: synthetic/ben_Beng/*.parquet
|
| 205 |
+
- split: ben_Latn
|
| 206 |
+
path: synthetic/ben_Latn/*.parquet
|
| 207 |
+
- split: guj_Gujr
|
| 208 |
+
path: synthetic/guj_Gujr/*.parquet
|
| 209 |
+
- split: guj_Latn
|
| 210 |
+
path: synthetic/guj_Latn/*.parquet
|
| 211 |
+
- split: hin_Deva
|
| 212 |
+
path: synthetic/hin_Deva/*.parquet
|
| 213 |
+
- split: hin_Latn
|
| 214 |
+
path: synthetic/hin_Latn/*.parquet
|
| 215 |
+
- split: kan_Knda
|
| 216 |
+
path: synthetic/kan_Knda/*.parquet
|
| 217 |
+
- split: kan_Latn
|
| 218 |
+
path: synthetic/kan_Latn/*.parquet
|
| 219 |
+
- split: mal_Mlym
|
| 220 |
+
path: synthetic/mal_Mlym/*.parquet
|
| 221 |
+
- split: mal_Latn
|
| 222 |
+
path: synthetic/mal_Latn/*.parquet
|
| 223 |
+
- split: mar_Deva
|
| 224 |
+
path: synthetic/mar_Deva/*.parquet
|
| 225 |
+
- split: mar_Latn
|
| 226 |
+
path: synthetic/mar_Latn/*.parquet
|
| 227 |
+
- split: npi_Deva
|
| 228 |
+
path: synthetic/npi_Deva/*.parquet
|
| 229 |
+
- split: npi_Latn
|
| 230 |
+
path: synthetic/npi_Latn/*.parquet
|
| 231 |
+
- split: ory_Orya
|
| 232 |
+
path: synthetic/ory_Orya/*.parquet
|
| 233 |
+
- split: ory_Latn
|
| 234 |
+
path: synthetic/ory_Latn/*.parquet
|
| 235 |
+
- split: pan_Guru
|
| 236 |
+
path: synthetic/pan_Guru/*.parquet
|
| 237 |
+
- split: pan_Latn
|
| 238 |
+
path: synthetic/pan_Latn/*.parquet
|
| 239 |
+
- split: san_Deva
|
| 240 |
+
path: synthetic/san_Deva/*.parquet
|
| 241 |
+
- split: san_Latn
|
| 242 |
+
path: synthetic/san_Latn/*.parquet
|
| 243 |
+
- split: tam_Taml
|
| 244 |
+
path: synthetic/tam_Taml/*.parquet
|
| 245 |
+
- split: tam_Latn
|
| 246 |
+
path: synthetic/tam_Latn/*.parquet
|
| 247 |
+
- split: tel_Telu
|
| 248 |
+
path: synthetic/tel_Telu/*.parquet
|
| 249 |
+
- split: tel_Latn
|
| 250 |
+
path: synthetic/tel_Latn/*.parquet
|
| 251 |
+
- split: urd_Arab
|
| 252 |
+
path: synthetic/urd_Arab/*.parquet
|
| 253 |
+
- split: urd_Latn
|
| 254 |
+
path: synthetic/urd_Latn/*.parquet
|
| 255 |
+
|
| 256 |
+
size_categories:
|
| 257 |
+
- 100B<n<1T
|
| 258 |
+
---
|
| 259 |
+
|
| 260 |
+
# Sangraha
|
| 261 |
+
|
| 262 |
+
<p align="center">
|
| 263 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ef3cd11e695b35aa48bebc/nDnyidcqIOLAP9dTw9GrK.png" />
|
| 264 |
+
</p>
|
| 265 |
+
|
| 266 |
+
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.
|
| 267 |
+
|
| 268 |
+
|
| 269 |
+
**More information**:
|
| 270 |
+
|
| 271 |
+
- For detailed information on the curation and cleaning process of Sangraha, please checkout our paper [on Arxiv](https://arxiv.org/abs/2403.06350);
|
| 272 |
+
- Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite);
|
| 273 |
+
|
| 274 |
+
## Getting Started
|
| 275 |
+
|
| 276 |
+
For downloading the entire Sangraha:
|
| 277 |
+
|
| 278 |
+
```python
|
| 279 |
+
from datasets import load_dataset
|
| 280 |
+
|
| 281 |
+
dataset = load_dataset("ai4bharat/sangraha")
|
| 282 |
+
```
|
| 283 |
+
|
| 284 |
+
For downloading a subset (Verified/Unverified) of Sangraha:
|
| 285 |
+
|
| 286 |
+
```python
|
| 287 |
+
from datasets import load_dataset
|
| 288 |
+
|
| 289 |
+
dataset = load_dataset("ai4bharat/sangraha", data_dir="<subset_name>")
|
| 290 |
+
# for example: dataset = load_dataset("ai4bharat/sangraha", data_dir="verified")
|
| 291 |
+
```
|
| 292 |
+
|
| 293 |
+
For downloading one language from a subset of Sangraha:
|
| 294 |
+
|
| 295 |
+
```python
|
| 296 |
+
from datasets import load_dataset
|
| 297 |
+
|
| 298 |
+
dataset = load_dataset("ai4bharat/sangraha", data_dir="<subset_name>/<lang_code>")
|
| 299 |
+
# for example: dataset = load_dataset("ai4bharat/sangraha", data_dir="verified/asm")
|
| 300 |
+
```
|
| 301 |
+
|
| 302 |
+
## Background
|
| 303 |
+
|
| 304 |
+
Sangraha contains three broad components:
|
| 305 |
+
|
| 306 |
+
- **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.
|
| 307 |
+
- **Sangraha Unverfied**: High quality Indic language data extracted from existing multilingual corpora employing perplexity filtering using n-gram language models trained on Sangraha Verified.
|
| 308 |
+
- **Sangraha Synthetic**: WikiMedia English translated to 14 Indic languages and further "romanised" from 14 languages by transliteration to English.
|
| 309 |
+
|
| 310 |
+
## Data Statistics
|
| 311 |
+
|
| 312 |
+
| **Lang Code** | **Verified** | **Synthetic** | **Unverified** | **Total Tokens (in Millions)** |
|
| 313 |
+
| ------------- | ------------ | ------------- | -------------- | ------------------------------ |
|
| 314 |
+
| asm | 292.1 | 11,696.4 | 17.5 | 12,006.0 |
|
| 315 |
+
| ben | 10,604.4 | 13,814.1 | 5,608.8 | 30,027.5 |
|
| 316 |
+
| brx | 1.5 | - | - | 1.5 |
|
| 317 |
+
| doi | 0.06 | - | - | 0.06 |
|
| 318 |
+
| eng | 12,759.9 | - | - | 12,759.9 |
|
| 319 |
+
| gom | 10.1 | - | - | 10.1 |
|
| 320 |
+
| guj | 3,647.9 | 12,934.5 | 597.0 | 17,179.4 |
|
| 321 |
+
| hin | 12,617.3 | 9,578.7 | 12,348.3 | 34,544.3 |
|
| 322 |
+
| kan | 1,778.3 | 12,087.4 | 388.8 | 14,254.5 |
|
| 323 |
+
| kas | 0.5 | - | - | 0.5 |
|
| 324 |
+
| mai | 14.6 | - | - | 14.6 |
|
| 325 |
+
| mal | 2,730.8 | 13,130.0 | 547.8 | 16,408.6 |
|
| 326 |
+
| mar | 2,827.0 | 10,816.7 | 652.1 | 14,295.8 |
|
| 327 |
+
| mni | 7.4 | - | - | 7.4 |
|
| 328 |
+
| npi | 1,822.5 | 10,588.7 | 485.5 | 12,896.7 |
|
| 329 |
+
| ori | 1,177.1 | 11,338.0 | 23.7 | 12,538.8 |
|
| 330 |
+
| pan | 1,075.3 | 9,969.6 | 136.9 | 11,181.8 |
|
| 331 |
+
| san | 1,329.0 | 13,553.5 | 9.8 | 14,892.3 |
|
| 332 |
+
| sat | 0.3 | - | - | 0.3 |
|
| 333 |
+
| snd | 258.2 | - | - | 258.2 |
|
| 334 |
+
| tam | 3,985.1 | 11,859.3 | 1,515.9 | 17,360.3 |
|
| 335 |
+
| urd | 3,658.1 | 9,415.8 | 1,328.2 | 14,402.1 |
|
| 336 |
+
| tel | 3,706.8 | 11,924.5 | 647.4 | 16,278.7 |
|
| 337 |
+
| **Total** | **64,306.1** | **162,707.9** | **24,307.7** | **251,321.0** |
|
| 338 |
+
|
| 339 |
+
To cite Sangraha, please use:
|
| 340 |
+
|
| 341 |
+
```
|
| 342 |
+
@article{khan2024indicllmsuite,
|
| 343 |
+
title = {IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages},
|
| 344 |
+
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},
|
| 345 |
+
year = {2024},
|
| 346 |
+
journal = {arXiv preprint arXiv: 2403.06350}
|
| 347 |
+
}
|
| 348 |
+
```
|
raw/data-0.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:3c080ef54239f17351162353e9ee957f9fdd6d158570e27186480805231bdade
|
| 3 |
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size 595992578
|
raw/data-1.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:5fadacb535e8eeb17326cf909e86e54aa49d8ad189da73e5801a08e358f5375e
|
| 3 |
+
size 594978085
|
tokens/train_ids.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:11268ecb2281adf1cdc6340df8f9517931afa2af166aa5099a114edb69e6210b
|
| 3 |
+
size 823839036
|
tokens/val_ids.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:c9f6e7c13916ce8987a9caa80bfef4957e648ade97f30ffbb9ebacd943e736ee
|
| 3 |
+
size 91537786
|