README.md

metadata

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'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.