BPCC / README.md
pranjalchitale's picture
Added Distilled Models
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---
configs:
- config_name: bpcc-seed-latest
data_files:
- split: asm_Beng
path: "bpcc-seed-latest/asm_Beng.tsv"
- split: ben_Beng
path: "bpcc-seed-latest/ben_Beng.tsv"
- split: brx_Deva
path: "bpcc-seed-latest/brx_Deva.tsv"
- split: doi_Deva
path: "bpcc-seed-latest/doi_Deva.tsv"
- split: gom_Deva
path: "bpcc-seed-latest/gom_Deva.tsv"
- split: guj_Gujr
path: "bpcc-seed-latest/guj_Gujr.tsv"
- split: hin_Deva
path: "bpcc-seed-latest/hin_Deva.tsv"
- split: kan_Knda
path: "bpcc-seed-latest/kan_Knda.tsv"
- split: kas_Arab
path: "bpcc-seed-latest/kas_Arab.tsv"
- split: mai_Deva
path: "bpcc-seed-latest/mai_Deva.tsv"
- split: mal_Mlym
path: "bpcc-seed-latest/mal_Mlym.tsv"
- split: mar_Deva
path: "bpcc-seed-latest/mar_Deva.tsv"
- split: mni_Mtei
path: "bpcc-seed-latest/mni_Mtei.tsv"
- split: npi_Deva
path: "bpcc-seed-latest/npi_Deva.tsv"
- split: ory_Orya
path: "bpcc-seed-latest/ory_Orya.tsv"
- split: pan_Guru
path: "bpcc-seed-latest/pan_Guru.tsv"
- split: san_Deva
path: "bpcc-seed-latest/san_Deva.tsv"
- split: snd_Deva
path: "bpcc-seed-latest/snd_Deva.tsv"
- split: tam_Taml
path: "bpcc-seed-latest/tam_Taml.tsv"
- split: tel_Telu
path: "bpcc-seed-latest/tel_Telu.tsv"
- split: urd_Arab
path: "bpcc-seed-latest/urd_Arab.tsv"
- config_name: bpcc-seed-v1
data_files:
- split: asm_Beng
path: "bpcc-seed-v1/asm_Beng.tsv"
- split: ben_Beng
path: "bpcc-seed-v1/ben_Beng.tsv"
- split: brx_Deva
path: "bpcc-seed-v1/brx_Deva.tsv"
- split: doi_Deva
path: "bpcc-seed-v1/doi_Deva.tsv"
- split: gom_Deva
path: "bpcc-seed-v1/gom_Deva.tsv"
- split: guj_Gujr
path: "bpcc-seed-v1/guj_Gujr.tsv"
- split: hin_Deva
path: "bpcc-seed-v1/hin_Deva.tsv"
- split: kan_Knda
path: "bpcc-seed-v1/kan_Knda.tsv"
- split: kas_Arab
path: "bpcc-seed-v1/kas_Arab.tsv"
- split: mai_Deva
path: "bpcc-seed-v1/mai_Deva.tsv"
- split: mal_Mlym
path: "bpcc-seed-v1/mal_Mlym.tsv"
- split: mar_Deva
path: "bpcc-seed-v1/mar_Deva.tsv"
- split: mni_Mtei
path: "bpcc-seed-v1/mni_Mtei.tsv"
- split: npi_Deva
path: "bpcc-seed-v1/npi_Deva.tsv"
- split: ory_Orya
path: "bpcc-seed-v1/ory_Orya.tsv"
- split: pan_Guru
path: "bpcc-seed-v1/pan_Guru.tsv"
- split: san_Deva
path: "bpcc-seed-v1/san_Deva.tsv"
- split: snd_Deva
path: "bpcc-seed-v1/snd_Deva.tsv"
- split: tam_Taml
path: "bpcc-seed-v1/tam_Taml.tsv"
- split: tel_Telu
path: "bpcc-seed-v1/tel_Telu.tsv"
- split: urd_Arab
path: "bpcc-seed-v1/urd_Arab.tsv"
- config_name: daily
data_files:
- split: asm_Beng
path: "daily/asm_Beng.tsv"
- split: ben_Beng
path: "daily/ben_Beng.tsv"
- split: brx_Deva
path: "daily/brx_Deva.tsv"
- split: doi_Deva
path: "daily/doi_Deva.tsv"
- split: gom_Deva
path: "daily/gom_Deva.tsv"
- split: guj_Gujr
path: "daily/guj_Gujr.tsv"
- split: hin_Deva
path: "daily/hin_Deva.tsv"
- split: kan_Knda
path: "daily/kan_Knda.tsv"
- split: kas_Arab
path: "daily/kas_Arab.tsv"
- split: mai_Deva
path: "daily/mai_Deva.tsv"
- split: mal_Mlym
path: "daily/mal_Mlym.tsv"
- split: mar_Deva
path: "daily/mar_Deva.tsv"
- split: mni_Mtei
path: "daily/mni_Mtei.tsv"
- split: npi_Deva
path: "daily/npi_Deva.tsv"
- split: ory_Orya
path: "daily/ory_Orya.tsv"
- split: pan_Guru
path: "daily/pan_Guru.tsv"
- split: san_Deva
path: "daily/san_Deva.tsv"
- split: snd_Deva
path: "daily/snd_Deva.tsv"
- split: tam_Taml
path: "daily/tam_Taml.tsv"
- split: tel_Telu
path: "daily/tel_Telu.tsv"
- split: urd_Arab
path: "daily/urd_Arab.tsv"
- config_name: daily
data_files:
- split: asm_Beng
path: "wiki/asm_Beng.tsv"
- split: ben_Beng
path: "wiki/ben_Beng.tsv"
- split: brx_Deva
path: "wiki/brx_Deva.tsv"
- split: doi_Deva
path: "wiki/doi_Deva.tsv"
- split: gom_Deva
path: "wiki/gom_Deva.tsv"
- split: guj_Gujr
path: "wiki/guj_Gujr.tsv"
- split: hin_Deva
path: "wiki/hin_Deva.tsv"
- split: kan_Knda
path: "wiki/kan_Knda.tsv"
- split: kas_Arab
path: "wiki/kas_Arab.tsv"
- split: mai_Deva
path: "wiki/mai_Deva.tsv"
- split: mal_Mlym
path: "wiki/mal_Mlym.tsv"
- split: mar_Deva
path: "wiki/mar_Deva.tsv"
- split: mni_Mtei
path: "wiki/mni_Mtei.tsv"
- split: npi_Deva
path: "wiki/npi_Deva.tsv"
- split: ory_Orya
path: "wiki/ory_Orya.tsv"
- split: pan_Guru
path: "wiki/pan_Guru.tsv"
- split: san_Deva
path: "wiki/san_Deva.tsv"
- split: snd_Deva
path: "wiki/snd_Deva.tsv"
- split: tam_Taml
path: "wiki/tam_Taml.tsv"
- split: tel_Telu
path: "wiki/tel_Telu.tsv"
- split: urd_Arab
path: "wiki/urd_Arab.tsv"
- config_name: comparable
data_files:
- split: asm_Beng
path: "comparable/asm_Beng.tsv"
- split: ben_Beng
path: "comparable/ben_Beng.tsv"
- split: brx_Deva
path: "comparable/brx_Deva.tsv"
- split: guj_Gujr
path: "comparable/guj_Gujr.tsv"
- split: hin_Deva
path: "comparable/hin_Deva.tsv"
- split: kan_Knda
path: "comparable/kan_Knda.tsv"
- split: mai_Deva
path: "comparable/mai_Deva.tsv"
- split: mal_Mlym
path: "comparable/mal_Mlym.tsv"
- split: mar_Deva
path: "comparable/mar_Deva.tsv"
- split: mni_Beng
path: "comparable/mni_Beng.tsv"
- split: npi_Deva
path: "comparable/npi_Deva.tsv"
- split: ory_Orya
path: "comparable/ory_Orya.tsv"
- split: pan_Guru
path: "comparable/pan_Guru.tsv"
- split: san_Deva
path: "comparable/san_Deva.tsv"
- split: tam_Taml
path: "comparable/tam_Taml.tsv"
- split: tel_Telu
path: "comparable/tel_Telu.tsv"
- split: urd_Arab
path: "comparable/urd_Arab.tsv"
- config_name: ilci
data_files:
- split: asm_Beng
path: "ilci/asm_Beng.tsv"
- split: ben_Beng
path: "ilci/ben_Beng.tsv"
- split: brx_Deva
path: "ilci/brx_Deva.tsv"
- split: gom_Deva
path: "ilci/gom_Deva.tsv"
- split: guj_Gujr
path: "ilci/guj_Gujr.tsv"
- split: hin_Deva
path: "ilci/hin_Deva.tsv"
- split: kan_Knda
path: "ilci/kan_Knda.tsv"
- split: mal_Mlym
path: "ilci/mal_Mlym.tsv"
- split: mar_Deva
path: "ilci/mar_Deva.tsv"
- split: mni_Beng
path: "ilci/mni_Beng.tsv"
- split: mni_Mtei
path: "ilci/mni_Mtei.tsv"
- split: npi_Deva
path: "ilci/npi_Deva.tsv"
- split: pan_Guru
path: "ilci/pan_Guru.tsv"
- split: tam_Taml
path: "ilci/tam_Taml.tsv"
- split: tel_Telu
path: "ilci/tel_Telu.tsv"
- split: urd_Arab
path: "ilci/urd_Arab.tsv"
- config_name: nllb-seed
data_files:
- split: kas_Arab
path: "nllb_seed/kas_Arab.tsv"
- split: kas_Deva
path: "nllb_seed/kas_Deva.tsv"
- split: mni_Beng
path: "nllb_seed/mni_Beng.tsv"
- config_name: massive
data_files:
- split: ben_beng
path: "massive/ben_Beng.tsv"
- split: hin_Deva
path: "massive/hin_Deva.tsv"
- split: kan_Knda
path: "massive/kan_Knda.tsv"
- split: mal_Mlym
path: "massive/mal_Mlym.tsv"
- split: tam_Taml
path: "massive/tam_Taml.tsv"
- split: tel_Telu
path: "massive/tel_Telu.tsv"
- split: urd_Arab
path: "massive/urd_Arab.tsv"
- config_name: nllb-filtered
data_files:
- split: asm_Beng
path: "nllb_filtered/asm_Beng.tsv"
- split: ben_Beng
path: "nllb_filtered/ben_Beng.tsv"
- split: guj_Gujr
path: "nllb_filtered/guj_Gujr.tsv"
- split: hin_Deva
path: "nllb_filtered/hin_Deva.tsv"
- split: kan_Knda
path: "nllb_filtered/kan_Knda.tsv"
- split: kas_Arab
path: "nllb_filtered/kas_Arab.tsv"
- split: mai_Deva
path: "nllb_filtered/mai_Deva.tsv"
- split: mal_Mlym
path: "nllb_filtered/mal_Mlym.tsv"
- split: mar_Deva
path: "nllb_filtered/mar_Deva.tsv"
- split: npi_Deva
path: "nllb_filtered/npi_Deva.tsv"
- split: ory_Orya
path: "nllb_filtered/ory_Orya.tsv"
- split: pan_Guru
path: "nllb_filtered/pan_Guru.tsv"
- split: san_Deva
path: "nllb_filtered/san_Deva.tsv"
- split: tam_Taml
path: "nllb_filtered/tam_Taml.tsv"
- split: tel_Telu
path: "nllb_filtered/tel_Telu.tsv"
- split: urd_Arab
path: "nllb_filtered/urd_Arab.tsv"
- config_name: samanantar-filtered
data_files:
- split: asm_Beng
path: "samanantar_v0.3_filtered/asm_Beng.tsv"
- split: ben_Beng
path: "samanantar_v0.3_filtered/ben_Beng.tsv"
- split: guj_Gujr
path: "samanantar_v0.3_filtered/guj_Gujr.tsv"
- split: hin_Deva
path: "samanantar_v0.3_filtered/hin_Deva.tsv"
- split: kan_Knda
path: "samanantar_v0.3_filtered/kan_Knda.tsv"
- split: mal_Mlym
path: "samanantar_v0.3_filtered/mal_Mlym.tsv"
- split: mar_Deva
path: "samanantar_v0.3_filtered/mar_Deva.tsv"
- split: ory_Orya
path: "samanantar_v0.3_filtered/ory_Orya.tsv"
- split: pan_Guru
path: "samanantar_v0.3_filtered/pan_Guru.tsv"
- split: tam_Taml
path: "samanantar_v0.3_filtered/tam_Taml.tsv"
- split: tel_Telu
path: "samanantar_v0.3_filtered/tel_Telu.tsv"
- config_name: samanantar++
data_files:
- split: asm_Beng
path: "samanantar_v2/asm_Beng.tsv"
- split: ben_Beng
path: "samanantar_v2/ben_Beng.tsv"
- split: guj_Gujr
path: "samanantar_v2/guj_Gujr.tsv"
- split: hin_Deva
path: "samanantar_v2/hin_Deva.tsv"
- split: kan_Knda
path: "samanantar_v2/kan_Knda.tsv"
- split: mal_Mlym
path: "samanantar_v2/mal_Mlym.tsv"
- split: mar_Deva
path: "samanantar_v2/mar_Deva.tsv"
- split: npi_Deva
path: "samanantar_v2/npi_Deva.tsv"
- split: ory_Orya
path: "samanantar_v2/ory_Orya.tsv"
- split: pan_Guru
path: "samanantar_v2/pan_Guru.tsv"
- split: tam_Taml
path: "samanantar_v2/tam_Taml.tsv"
- split: tel_Telu
path: "samanantar_v2/tel_Telu.tsv"
- split: urd_Arab
path: "samanantar_v2/urd_Arab.tsv"
---
# BPCC Dataset
## Training
Bharat Parallel Corpus Collection (BPCC) is a comprehensive and publicly available parallel corpus that includes both existing and new data for all 22 scheduled Indic languages. It is comprised of two parts: BPCC-Mined and BPCC-Human, totaling approximately 230 million bitext pairs. BPCC-Mined contains about 228 million pairs, with nearly 126 million pairs newly added as a part of this work. On the other hand, BPCC-Human consists of 2.2 million gold standard English-Indic pairs, with an additional 644K bitext pairs from English Wikipedia sentences (forming the BPCC-H-Wiki subset) and 139K sentences covering everyday use cases (forming the BPCC-H-Daily subset). It is worth highlighting that BPCC provides the first available datasets for 7 languages and significantly increases the available data for all languages covered.
You can find the contribution from different sources in the following table:
<table>
<tbody>
<tr>
<td rowspan="4">BPCC-Mined</th>
<td rowspan="2">Existing</th>
<td>Samanantar</th>
<td>19.4M</th>
</tr>
<tr>
<td>NLLB</th>
<td>85M</th>
</tr>
<tr>
<td rowspan="2">Newly Added</th>
<td>Samanantar++</th>
<td>121.6M</th>
</tr>
<tr>
<td>Comparable</th>
<td>4.3M</th>
</tr>
<tr>
<td rowspan="5">BPCC-Human</td>
<td rowspan="3">Existing</td>
<td>NLLB</td>
<td>18.5K</td>
</tr>
<tr>
<td>ILCI</td>
<td>1.3M</td>
</tr>
<tr>
<td>Massive</td>
<td>115K</td>
</tr>
<tr>
<td rowspan="2">Newly Added</td>
<td>Wiki</td>
<td>644K</td>
</tr>
<tr>
<td>Daily</td>
<td>139K</td>
</tr>
</tbody>
</table>
Additionally, we provide augmented back-translation data generated by our intermediate IndicTrans2 models for training purposes. Please refer our paper for more details on the selection of sample proportions and sources.
<table>
<tbody>
<tr>
<td>English BT data (English Original)</td>
<td>401.9M</td>
</tr>
<tr>
<td>Indic BT data (Indic Original)</td>
<td>400.9M</td>
</tr>
</tbody>
</table>
<br>
## Evaluation
IN22 test set is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages. It has been created from three distinct subsets, namely IN22-Wiki, IN22-Web and IN22-Conv. The Wikipedia and Web sources subsets offer diverse content spanning news, entertainment, culture, legal, and India-centric topics. IN22-Wiki and IN22-Web have been combined and considered for evaluation purposes and released as IN22-Gen. Meanwhile, IN22-Conv the conversation domain subset is designed to assess translation quality in typical day-to-day conversational-style applications.
<table>
<tbody>
<tr>
<td>IN22-Gen (IN22-Wiki + IN22-Web)</td>
<td>1024 sentences</td>
<td>🤗 <a href="https://huggingface.co/datasets/ai4bharat/IN22-Gen">ai4bharat/IN22-Gen</td>
</tr>
<tr>
<td>IN22-Conv</td>
<td>1503 sentences</td>
<td>🤗 <a href="https://huggingface.co/datasets/ai4bharat/IN22-Conv">ai4bharat/IN22-Conv</td>
</tr>
</tbody>
</table>
## LICENSE
The following table lists the licenses associated with the different artifacts released as a part of this work:
| Artifact | LICENSE |
| ----------------------------------------------------- | --------------------------------------------------------------------- |
| Existing Mined Corpora (NLLB & Samanantar) | [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) |
| Existing Seed Corpora (NLLB-Seed, ILCI, MASSIVE) | [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) |
| Newly Added Mined Corpora (Samanantar++ & Comparable) | [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) |
| Newly Added Seed Corpora (BPCC-H-Wiki & BPCC-H-Daily) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| Newly Created IN-22 test set (IN22-Gen & IN22-Conv) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| Back-translation data (BPCC-BT) | [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) |
| Model checkpoints | [MIT](https://github.com/ai4bharat/IndicTrans2/blob/main/LICENSE) |
The mined corpora collection (BPCC-Mined), existing seed corpora (NLLB-Seed, ILCI, MASSIVE), Backtranslation data (BPCC-BT), are released under the following licensing scheme:
- We do not own any of the text from which this data has been extracted.
- We license the actual packaging of this data under the Creative Commons [CC0 license (“no rights reserved”)](https://creativecommons.org/share-your-work/public-domain/cc0/).
- To the extent possible under law, [AI4Bharat](https://ai4bharat.iitm.ac.in/) has waived all copyright and related or neighboring rights to BPCC-Mined, existing seed corpora (NLLB-Seed, ILCI, MASSIVE) and BPCC-BT.
## Citation
```bibtex
@article{gala2023indictrans,
title={IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages},
author={Jay Gala and Pranjal A Chitale and A K Raghavan and Varun Gumma and Sumanth Doddapaneni and Aswanth Kumar M and Janki Atul Nawale and Anupama Sujatha and Ratish Puduppully and Vivek Raghavan and Pratyush Kumar and Mitesh M Khapra and Raj Dabre and Anoop Kunchukuttan},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2023},
url={https://openreview.net/forum?id=vfT4YuzAYA},
note={}
}
```