datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fineweb-edu
📚 FineWeb-Edu
1.3 trillion tokens of the finest educational data the 🌐 web has to offer
Paper: https://arxiv.org/abs/2406.17557
What is it?
📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.3 trillion version.
To enhance FineWeb's quality, we developed an educational quality classifier using annotations generated by LLama3-70B-Instruct. We… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu.fineweb-edu-translated
Helsinki-NLP/fineweb-edu-translated
fineweb-edu-tanslated is a collection of automatically translated documents from fineweb-edu.
Translations are based on OPUS-MT and HPLT-MT models.
The data in v1.0 covers 36,704,000 documents with over 28 billion space-searated tokens of English data translated into 36 languages.
The total v1.0 data set includes over 960 billion tokens and the translated documents are aligned across all languages.
In the v1.1 release, additional translations… See the full description on the dataset page: https://huggingface.co/datasets/Helsinki-NLP/fineweb-edu-translated.fineweb-edu-fortified
Fineweb-Edu-Fortified
The composition of fineweb-edu-fortified, produced by automatically clustering a 500k row sample in
Airtrain
What is it?
Fineweb-Edu-Fortified is a dataset derived from
Fineweb-Edu by applying exact-match
deduplication across the whole dataset and producing an embedding for each row. The number of times
the text from each row appears is also included as a count column. The embeddings were produced
using TaylorAI/bge-micro
Fineweb and… See the full description on the dataset page: https://huggingface.co/datasets/airtrain-ai/fineweb-edu-fortified.fineweb-edu-score-2
📚 FineWeb-Edu-score-2
1.3 trillion tokens of the finest educational data the 🌐 web has to offer
What is it?
📚 FineWeb-Edu dataset consists of 1.3T tokens (FineWeb-Edu) and 5.4T tokens of educational web pages filtered from 🍷 FineWeb dataset. This is the 5.4 trillion version.
Note: this version uses a lower educational score threshold = 2, which results in more documents, but lower quality compared to the 1.3T version. For more details check the… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu-score-2.fineweb-edu-100b-shufflefineweb-edu
FineWeb-Edu (Lance Format)
A Lance-formatted version of FineWeb-Edu — over 1.5 billion educational web passages with cleaned text, source metadata, language detection signals, and 384-dim text embeddings — available directly from the Hub at hf://datasets/lance-format/fineweb-edu/data/train.lance.
Key features
Cleaned passage text in the text column with the source url and title carried alongside.
Language detection signals (language, language_probability) for filtered… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/fineweb-edu.fineweb-edu
Pre-shuffled fineweb-edu dataset
fineweb-edu-gpt2fineweb-edu
📚 FineWeb-Edu
1.3 trillion tokens of the finest educational data the 🌐 web has to offer
Paper: https://arxiv.org/abs/2406.17557
What is it?
📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.3 trillion version.
To enhance FineWeb's quality, we developed an educational quality classifier using annotations generated by LLama3-70B-Instruct. We… See the full description on the dataset page: https://huggingface.co/datasets/chilomax/fineweb-edu.fineweb-edu-hindi
Fineweb-edu-hindi
Fineweb-edu-hindi is a synthetic dataset generated by translating the Fineweb-edu to Hindi Language using IndicTrans2.
The model variant used is IndicTrans2-en-indic-dist-200M. It contains about 300 Billion tokens in the Gemma-2-2b Tokenizer.
Hardware Resources:
The Google Cloud TPUs and the Google Cloud Platform was utilized for the dataset creation process.
Code:
Github: fineweb-translation
Contact:
If any queries or issues… See the full description on the dataset page: https://huggingface.co/datasets/KathirKs/fineweb-edu-hindi.fineweb_edu_100BT-shuffled
FineWeb-Edu 100BT (Shuffled)
A globally shuffled version of HuggingFaceFW/fineweb_edu_100BT.
Part of the Smol-Data collection — tried and tested mixes for strong pretraining.
Dataset Description
This dataset contains the same ~100B tokens as fineweb_edu_100BT but with all documents globally shuffled (seed=42). Use this version when you need randomized document ordering for pretraining.
How It Was Created
The unshuffled dataset was loaded into memory, shuffled… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb_edu_100BT-shuffled.FineWeb-Edu-10B-PMI-FilteredFineWeb-Edu-10B-ShuffledFineweb-Edu-Chinese-V2.1
Chinese Fineweb Edu Dataset V2.1 [中文] [English]
[OpenCSG Community] [👾github] [wechat] [Twitter]
📖Technical Report
The Chinese Fineweb Edu Dataset V2.1 is an enhanced version of the V2 dataset, designed specifically for natural language processing (NLP) tasks in the education sector. This version introduces two new data sources, map-cc and opencsg-cc, and retains data with scores ranging from 2 to 3. The dataset entries are organized into different folders… See the full description on the dataset page: https://huggingface.co/datasets/willRD/Fineweb-Edu-Chinese-V2.1.fineweb-edu-zh-chengyu-cpt
Fineweb-Edu Chinese — Chengyu-Tagged Continued-Pretraining Corpus
A 3.74M-document Chinese corpus (~7.8B tokens) for continued pretraining on
cultural knowledge in figurative language, built from the highest-quality
tier of opencsg/Fineweb-Edu-Chinese-V2.1.
Each document is educational Chinese text containing at least one culturally
vetted chengyu, with an appended 【成语注释】 knowledge block listing every
matched idiom's figurative meaning(s) and classical source citation.
This is a… See the full description on the dataset page: https://huggingface.co/datasets/jiviteshjn/fineweb-edu-zh-chengyu-cpt.fineweb-edu-compliant-tagfineweb-edu-full-metadata[WIP]
FineWeb-Edu with Metadata
This repo contains 3 versions of the FineWeb-Edu v1 dataset:
fwedu1-metaonly/
fwedu1-text-content-zstd/
fineweb-edu-1.0.0-meta-and-text/
These are all joinable via the hash column, which is xxhash64 in pyspark, calculated on the text column. This hash is unique for all instances in the dataset. For convenience, this join is done for you in the third table
fwedu1-metaonly is just the metadata of the data exactly as it comes from the FineWeb-Edu v1… See the full description on the dataset page: https://huggingface.co/datasets/mmarone/fineweb-edu-full-metadata.FineWeb-Edu-10B-Nouns-Onlyfinewebedu-20B
FineWebEDU 20B
A copy of FineWebEDU-20B used for out tokenizer experiments. The subsets are as follows:
bytelevel: the full dataset tokenized using our bytelevel tokenizer
bytelevel-subset_1: a 100k-row subset of the bytelevel subset, used to train bytelevel models.
bytelevel-subset_2: a 100k-row subset of the bytelevel subset, used to extract llm predictions.
bytelevel-llm-data: a copy of bytelevel-subset_2 with lm predictions, used to train bytespan tokenizers… See the full description on the dataset page: https://huggingface.co/datasets/ByteSpanTokenisers/finewebedu-20B.fineweb-edu-format-topic
FineWeb-Edu w/ Topic and Format Annotations
FineWeb-Edu dataset consists of 1.3T tokens annotated for Topic and Format using wissamantoun/WebOrganizer-TopicClassifier-ModernBERT and wissamantoun/WebOrganizer-FormatClassifier-ModernBERT classifiers.
Similar to WebOrganizer/Corpus-200B but using FineEdu instead of DCLM.
Topic Labels:
Adult
Art & Design
Software Dev.
Crime & Law
Education & Jobs
Hardware
Entertainment
Social Life
Fashion & Beauty
Finance & Business
Food & Dining… See the full description on the dataset page: https://huggingface.co/datasets/wissamantoun/fineweb-edu-format-topic.fineweb-edu-micro
FineWeb-Edu Micro
This dataset is a subset of the FineWeb-Edu Sample-10BT, which contains passages that are at least 1000 tokens long, totalling about 1 Million tokens .
This dataset was primarily made to evaluate different RAG Chunking mechanisms in Chonkie
FineWeb-Edu-10B-Obfuscationfineweb-edu
📚 FineWeb-Edu
1.3 trillion tokens of the finest educational data the 🌐 web has to offer
Paper: https://arxiv.org/abs/2406.17557
What is it?
📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.3 trillion version.
To enhance FineWeb's quality, we developed an educational quality classifier using annotations generated by LLama3-70B-Instruct. We then… See the full description on the dataset page: https://huggingface.co/datasets/CharlesPing/fineweb-edu.fineweb-edu-highest-quality-2025
FineWeb-Edu Highest Quality Dataset (2025 Collection)
Dataset Summary
This dataset contains 4.17 billion tokens of the highest quality educational content, carefully filtered from the FineWeb-Edu dataset's 2025 Common Crawl snapshots. This represents the cream of the crop - only the top ~2% of documents that meet strict quality criteria.
Key Statistics
Total Tokens: 4,176,738,951
Total Documents: 1,477,151
Average Tokens per Document: 2,827
Storage Size: ~11… See the full description on the dataset page: https://huggingface.co/datasets/Yxanul/fineweb-edu-highest-quality-2025.fineweb-edu-100b-shufflefineweb-edufineweb-edu-dedup-10bfineweb-edu-dedup-45B
Fineweb-edu-dedup 45B
This dataset was filtered from HuggingFaceTB/smollm-corpus. We selected the fineweb-edu and further filtered with score > 3.0 to make the dataset with higher quality; there are 45B GPT2 tokens in this dataset.
Acknowledgement
We appreciate the efforts from HuggingFaceTB team to release these high-quality dataset and facilitate LLM community
fineweb-edu-1kfineweb-edu-2013-qwen2-7b
FineWeb-Edu 2013 with Qwen2-7B token counts
Every 2013 FineWeb-Edu document, prepared for continued pretraining, with token
counts computed by a pinned Qwen2-7B tokenizer.
The pipeline is year-agnostic: the year, source revision, tokenizer contract,
and selection rule all come from a config file. 2013 uses
processing_config.json. The 2017 companion dataset, which is large enough to
require shuffling and a token budget rather than retaining everything, is at… See the full description on the dataset page: https://huggingface.co/datasets/stevenyuan666/fineweb-edu-2013-qwen2-7b.