---
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.