---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 226904274735
    num_examples: 59250976
  - name: test
    num_bytes: 23231219
    num_examples: 6000
  download_size: 125258815784
  dataset_size: 226927505954
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- text-generation
language:
- en
- hi
tags:
- english
- hindi
- math
- python
- code
pretty_name: yalm_pretrain_mix5
size_categories:
- 10M<n<100M
---
# YALM Pretraining Data - 5

The _YALM Pretraining Data - 5_ is a mix of English, Hindi, Math and Python Code taken from various sources for the Language modeling task and development of YALM(Yet Another Language Model).

Total Samples: 59M (~36B tokens with sample packing at 2048 Context)

Test Split: 6k Samples

Shuffle Seed: 101

Datasets:
- English(70%):
    - [openbmb/Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb)
        - Language: English
        - Subset: en
        - Sources: fineweb

- Hindi(20%):
    - [zicsx/mC4-Hindi-Cleaned](https://huggingface.co/datasets/zicsx/mC4-Hindi-Cleaned)
        - Language: Hindi
    
    - [anirudhlakhotia/baarat-batched-hindi-pre-training](https://huggingface.co/datasets/anirudhlakhotia/baarat-batched-hindi-pre-training)
        - Language: Hindi

- Math(5%):
    - [HuggingFaceTB/finemath](https://huggingface.co/datasets/HuggingFaceTB/finemath)
        - Language: English
        - Subset: finemath-4plus

- Code(5%):
    - [Avelina/python-edu-cleaned](https://huggingface.co/datasets/Avelina/python-edu-cleaned)
        - Language: Python