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_Bengvsben_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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