| --- |
| language: |
| - en |
| pretty_name: DepthBench FineWeb-Edu 100BT Tokenized |
| task_categories: |
| - text-generation |
| --- |
| |
| # DepthBench FineWeb-Edu 100BT Tokenized |
|
|
| This repository contains the tokenized FineWeb-Edu 100BT sample used by |
| DepthBench pretraining experiments. |
|
|
| ## Splits |
|
|
| - `train/`: 139 shards, 99,585,913,529 tokens, and 97,045,608 documents. |
| - `eval/`: `013_00008`, containing 234,993,701 tokens and 225,078 documents. |
|
|
| All remaining source shards are assigned to training. Each source document is |
| terminated by an EOS token before documents are concatenated. |
|
|
| ## Format |
|
|
| Each shard contains: |
|
|
| - `*.npy`: a flat `uint16` array of concatenated token IDs. |
| - `*.csv.gz`: document-boundary metadata. |
| - `*.meta.json`: token counts, document counts, split, and source-shard metadata. |
|
|
| The tokenizer is included as |
| `tokenizer/allenai_gpt-neox-olmo-dolma-v1_5.json`. It has a vocabulary size of |
| 50,280 and uses token ID 50,279 as EOS. |
|
|
| ```python |
| import numpy as np |
| |
| tokens = np.load("train/000_00000.npy", mmap_mode="r") |
| print(tokens.dtype, tokens.shape) |
| ``` |
|
|
| ## Source |
|
|
| The source text is the 100BT sample of |
| [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu). |
| Users are responsible for complying with the source dataset's terms and |
| licenses. |
|
|
