---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: id
    dtype: string
  - name: dump
    dtype: string
  - name: url
    dtype: string
  - name: date
    dtype: string
  - name: file_path
    dtype: string
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: token_count
    dtype: int64
  splits:
  - name: train
    num_bytes: 51073574.99634302
    num_examples: 14874
  download_size: 30919243
  dataset_size: 51073574.99634302
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: odc-by
task_categories:
- text-generation
language:
- en
size_categories:
- 10K<n<100K
---

# FineWeb 10MT
Roughly 10 million tokens worth of English FineWeb data. Obtained by taking the [10BT Sample](https://huggingface.co/datasets/HuggingFaceFW/fineweb/viewer/sample-10BT) of [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb), shuffling it, sharding into 1000 shards, and selecting the first shard.

## Code
To reproduce FineWeb 10MT, simply use the following:

```python
from datasets import load_dataset

fineweb = load_dataset("HuggingFaceFW/fineweb", "sample-10BT", split="train").shuffle().shard(num_shards=1000, index=0)

token = "token"
fineweb.push_to_hub("OxxoCodes/fineweb-10MT", token=token)
```