coder-pretrain-60gb / README.md
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---
license: other
language:
- en
size_categories:
- 10B<n<100B
task_categories:
- text-generation
tags:
- code
- pretraining
configs:
- config_name: default
data_files:
- split: train
path: final/train/*.parquet
- split: validation
path: final/validation/*.parquet
---
# Coding LLM Pretraining Corpus
Built with `build_pretrain_dataset.ipynb` + `finalize_local.py` (DuckDB).
## Composition
| Source | Collected rows | Collected size | Final rows | Final size |
| --- | --- | --- | --- | --- |
| code | 8,415,197 | 30.00 GB | 8,413,850 | 29.88 GB |
| web | 3,492,492 | 15.00 GB | 3,390,372 | 14.50 GB |
| math | 659,720 | 3.00 GB | 658,089 | 2.95 GB |
| wiki | 519,584 | 2.00 GB | 519,535 | 1.99 GB |
| docs | 4,504,069 | 10.00 GB | 4,289,545 | 9.74 GB |
**Total final corpus:** 59.06 GB of raw text
(17,271,391 documents) across
159 train shards and 1 validation shards.
91,189 documents were removed by dedup/decontamination.