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---
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. |