codelion/fineweb-edu-1B
Sampling Methodology This dataset was created using reservoir sampling, a statistically unbiased random sampling algorithm that guarantees each sample from the source dataset has an equal probability of being included. This ensures the 1B token sample is representative of the full dataset's characteristics. Source Dataset: HuggingFaceFW/fineweb-edu Sample Size: 1B tokens Content: Curated educational web resources Reservoir sampling enables rapid experimentation and ablation… See the full description on the dataset page: https://huggingface.co/datasets/codelion/fineweb-edu-1B.
| Author / organization | codelion |
|---|---|
| Downloads | 353 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 7 July 2025 |
| Last updated at source | 2 November 2025 |
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353 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- codelion/gpt-2-70mModel · used to train
- codelion/dhara-70mModel · used to train
Recent changes
- 16 Oct 2026 Description: Sampling Methodology This dataset was created using reservoir sampling, a statistically unbiased random sampling algorithm that guarantees each sample from the source dataset has an equal probability of being included. This ensures the 1B t → Sampling Methodology This dataset was created using reservoir sampling, a statistically unbiased random sampling algorithm that guarantees each sample from the source dataset has an equal probability of being included. This ensures the 1B t
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