| --- |
| language: as |
| license: odc-by |
| task_categories: [text-generation] |
| size_categories: [1B-10B] |
| tags: [assamese, pretraining, monolingual, asm_Beng, indic] |
| --- |
| # 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 |
|
|
| ```python |
| 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 |
|
|
| ```bibtex |
| @misc{asm-corpus, |
| author = {Anand Dey}, |
| title = {AsmCorpus: An Assamese Pretraining Dataset}, |
| year = {2026}, |
| publisher = {HuggingFace}, |
| howpublished = {https://huggingface.co/datasets/ananddey/asm-corpus}, |
| } |
| ``` |
|
|
