---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: id
    dtype: string
  - name: metadata
    struct:
    - name: date
      dtype: timestamp[us]
    - name: dump
      dtype: string
    - name: file_path
      dtype: string
    - name: int_score
      dtype: int64
    - name: language
      dtype: string
    - name: language_score
      dtype: float64
    - name: score
      dtype: float64
    - name: token_count
      dtype: int64
    - name: url
      dtype: string
  splits:
  - name: train
    num_bytes: 1833008872.5409107
    num_examples: 362119
  download_size: 728580318
  dataset_size: 1833008872.5409107
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

## Qwark Corpus

1 billion of the highest quality tokens on the internet, based on [HuggingFaceTB/smollm-corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus)'s `fineweb-edu-dedup` subset.

Filtering process:

1. Stream dataset until 1M samples have been selected (keep only items with < 50,000 length).
2. Combine with a selection of 4K educational TED-talks.
3. Filter and remove items containing strange characters.
4.