Datasets:
File size: 4,579 Bytes
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---
license: cc-by-4.0
task_categories:
- text-generation
language:
- as
- bn
- gu
- en
- hi
- kn
- ks
- ml
- mr
- ne
- or
- pa
- sa
- sd
- ta
- te
- ur
tags:
- language-modeling
- casual-lm
- llm
pretty_name: sangraha
dataset_info:
- config_name: verified
features:
- name: doc_id
dtype: string
- name: type
dtype: string
- name: text
dtype: string
splits:
- name: asm
- name: ben
- name: brx
- name: doi
- name: eng
- name: gom
- name: guj
- name: hin
- name: kan
- name: kas
- name: mai
- name: mal
- name: mar
- name: mni
- name: nep
- name: ori
- name: pan
- name: san
- name: sat
- name: snd
- name: tam
- name: tel
- name: urd
- config_name: unverified
features:
- name: doc_id
dtype: string
- name: text
dtype: string
splits:
- name: asm
- name: ben
- name: guj
- name: hin
- name: kan
- name: mal
- name: mar
- name: nep
- name: ori
- name: pan
- name: san
- name: tam
- name: tel
- name: urd
configs:
- config_name: verified
data_files:
- split: asm
path: verified/asm.*
- split: ben
path: verified/ben.*
- split: brx
path: verified/brx.*
- split: doi
path: verified/doi.*
- split: eng
path: verified/eng.*
- split: gom
path: verified/gom.*
- split: guj
path: verified/guj.*
- split: hin
path: verified/hin.*
- split: kan
path: verified/kan.*
- split: kas
path: verified/kas.*
- split: mai
path: verified/mai.*
- split: mal
path: verified/mal.*
- split: mar
path: verified/mar.*
- split: mni
path: verified/mni.*
- split: nep
path: verified/nep.*
- split: ori
path: verified/ori.*
- split: pan
path: verified/pan.*
- split: san
path: verified/san.*
- split: sat
path: verified/sat.*
- split: snd
path: verified/snd.*
- split: tam
path: verified/tam.*
- split: tel
path: verified/tel.*
- split: urd
path: verified/urd.*
- config_name: unverified
data_files:
- split: asm
path: unverified/asm.*
- split: ben
path: unverified/ben.*
- split: guj
path: unverified/guj.*
- split: hin
path: unverified/hin.*
- split: kan
path: unverified/kan.*
- split: mal
path: unverified/mal.*
- split: mar
path: unverified/mar.*
- split: nep
path: unverified/nep.*
- split: ori
path: unverified/ori.*
- split: pan
path: unverified/pan.*
- split: san
path: unverified/san.*
- split: tam
path: unverified/tam.*
- split: tel
path: unverified/tel.*
- split: urd
path: unverified/urd.*
---
# Sangraha
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ef3cd11e695b35aa48bebc/nDnyidcqIOLAP9dTw9GrK.png" />
</p>
Sangraha is the largest Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations.
**Coming Soon**:
- Sangraha Synthetic
- Sangraha Verified - Hindi YouTube data
More information:
- Read more about Sangraha [on Arxiv](https://arxiv.org/);
- Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite);
## Getting Started
You can download the dataset using Hugging Face datasets:
```python
from datasets import load_dataset
ds = load_dataset("cerebras/SlimPajama-627B")
```
## Background
Sangraha contains three broad components:
- **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.
- **Sangraha Unverfied**: High quality Indic language data extracted from existing multilingual corpora employing perplexity filtering using n-gram language models trained on Sangraha Verified.
- **Sangraha Synthetic**: WikiMedia English translated to 14 Indic languages and further "romanised" from 14 languages by transliteration to English.
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