kp7742/YALM-pretrain5-60M

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
    • Language: English
    • Subset: en
    • Sources: fineweb

• Hindi(20%):

  • zicsx/mC4-Hindi-Cleaned

    • Language: Hindi

  • anirudhlakhotia/baarat-batched-hindi-pre-training

    • Language: Hindi

• Math(5%):

  • HuggingFaceTB/finemath
    • Language: English
    • Subset: finemath-4plus

• Code(5%):

  • Avelina/python-edu-cleaned
    • Language: Python