Fineweb Edu 10M: A 10-Million-Token Sample of Educational Web Text

HuggingFaceFW/fineweb-edu provides a 10-million-token sample of curated educational web resources, created by author codelion. The dataset was generated using reservoir sampling to ensure representativeness and was last updated on November 2, 2025.

Use Cases

• Training language models on educational text based on the described web resource content.
• Conducting ablation studies on model performance using a statistically unbiased sample.
• Analyzing the characteristics of educational web content as mentioned in the description.
• Benchmarking text processing pipelines against a curated educational corpus.

Strengths

• Contains 10 million tokens, providing a substantial text sample.
• Created using reservoir sampling, a statistically unbiased random sampling algorithm.
• Sample is representative of the full source dataset's characteristics.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The full dataset's size, row count, and file formats are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

HuggingFaceFW/fineweb-edu

Collection Method

Created using reservoir sampling from the source dataset.

Freshness

Last updated 2025-11-02 15:56:42; freshness should be verified.