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AsmCorpus — Assamese Pretraining Dataset

The largest open monolingual Assamese corpus for LLM pretraining.

  • Documents: 2.37M
  • Characters: 11B
  • GPT-2 tokens: ~3.7B | Gemma 4 E2B tokens: ~5.8B
  • Format: Parquet (text column only)
  • License: ODC-By 1.0

Usage

from datasets import load_dataset

ds = load_dataset("ananddey/asm-corpus", split="train", streaming=True)
for doc in ds:
    print(doc["text"])

How It Was Built

All documents passed through language detection, quality filtering, PII redaction, and global deduplication before inclusion. See the source repository for the full pipeline code.

Quality Notes

  • ~90% of volume is machine-translated encyclopedia content — more formal register than natural web text
  • No detectable Bengali contamination (GlotLID asm_Beng vs ben_Beng)
  • 87% document retention through all quality filters

Citation

@misc{asm-corpus,
  author = {Anand Dey},
  title = {AsmCorpus: An Assamese Pretraining Dataset},
  year = {2026},
  publisher = {HuggingFace},
  howpublished = {https://huggingface.co/datasets/ananddey/asm-corpus},
}
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