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.chinese-fineweb-edu
This version is deprecated. We recommend you to use the newest version Fineweb-edu-chinese-v2.1 !
Chinese Fineweb Edu Dataset [中文] [English]
[OpenCSG Community] [👾github] [wechat] [Twitter]
📖Technical Report
Chinese Fineweb Edu dataset is a meticulously constructed high-quality Chinese pre-training corpus, specifically designed for natural language processing tasks in the education domain. This dataset undergoes a rigorous selection and… See the full description on the dataset page: https://huggingface.co/datasets/opencsg/chinese-fineweb-edu.finepdfs-edu
📚 FinePDFs-Edu
350B+ of highly educational tokens from PDFs 📄
What is it?
📚 FinePDFs-Edu dataset consists of 350B+ tokens of educational PDFs filtered from 📄 FinePDFs dataset covering 69 languages.
FinePDFs was created using the formula inspired from FineWeb-Edu, we developed an educational quality classifier using annotations generated by Qwen3-235B-A22B-Instruct-2507 for each of 69 languages present in this dataset.
We then used this classifier to retain only the… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu.stackv2_edu_filtered
Stack V2 Edu
Description
We filter the Stack V2 to only include code from openly licensed repositories, based on the license detection performed by the creators of Stack V2. When multiple licenses are detected in a single repository, we ensure that all of the licenses are on the Blue Oak Council certified license list. Per-document license information is available in the license entry of the metadata field of each example. Code for collecting, processing, and preparing… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/stackv2_edu_filtered.finetranslations-edu-zhtw
Dataset Card for finetranslations-edu-zhtw
✅ 狀態：翻譯已完成 —— 上游 HuggingFaceFW/finetranslations-edu 的 108,882,733 列已全數翻譯完成（逐檔清點兩邊 parquet footer，列數完全相符），共 8,195 個分片、約 1.26 TB。
⚠️ 但尚未經過人工抽查驗證。翻譯全程自動化，使用前請自行評估品質。
📖 finetranslations-edu-zhtw 是以 HuggingFaceFW/finetranslations-edu 為來源，將其 translated_chunks（原始多語言教育類網頁內容、先被 pivot 翻譯成英文的版本）進一步翻譯成繁體中文的資料集。
Dataset Details
Dataset Description
HuggingFaceFW/finetranslations-edu 收錄了原本以英文以外語言（og_language，涵蓋約 200… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/finetranslations-edu-zhtw.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/chilomax/fineweb-edu.finetranslations-edu
💬 FineTranslations
The world's knowledge in 1+1T tokens of parallel text
NOTE: this is the Edu version of the dataset, containing only the top 10% scoring data based on an educational classifier applied to the English translations. It has no splits. For the base dataset, see here.
What is it?
This dataset contains over 1 trillion tokens of parallel text in English and 500+ languages. It was obtained by translating data from 🥂 FineWeb2 into English using… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/finetranslations-edu.chinese-fineweb-edu-v2
This version is deprecated. We recommend you to use the newest version Fineweb-edu-chinese-v2.1 !
Chinese Fineweb Edu Dataset V2 [中文] [English]
[OpenCSG Community] [👾github] [wechat] [Twitter]
📖Technical Report
Chinese Fineweb Edu Dataset V2 is a comprehensive upgrade of the original Chinese Fineweb Edu, designed and optimized for natural language processing (NLP) tasks in the education sector. This high-quality Chinese pretraining dataset has… See the full description on the dataset page: https://huggingface.co/datasets/opencsg/chinese-fineweb-edu-v2.CrawlPT_dedup
CrawlPT (deduplicated)
CrawlPT is a generic Portuguese corpus extracted from various web pages.
This version is deduplicated using MinHash algorithm and Locality Sensitive Hashing, following the approach of Lee et al. (2022).
The raw version is also available here.
Dataset Details
Dataset is composed by three corpora:
brWaC, C100-PT, OSCAR-2301.
brWaC: a web corpus for Brazilian Portuguese from 120,000 different websites.
C100-PT: Portuguese subset from CC-100. C100 was… See the full description on the dataset page: https://huggingface.co/datasets/eduagarcia/CrawlPT_dedup.mga-fineweb-edu
Massive Genre-Audience Augment Fineweb-Edu Corpus
This dataset is a synthetic pretraining corpus described in paper Reformulation for Pretraining Data Augmentation.
Overview of synthesis framework. Our method expands the original corpus through a two-stage synthesis process.
Each document is reformulated to 5 new documents, achieving 3.9× token number expansion while maintaining diversity through massive (genre, audience) pairs.
We build MGACorpus based on SmolLM Corpus… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance-Seed/mga-fineweb-edu.LegalPT
LegalPT
LegalPT aggregates the maximum amount of publicly available legal data in Portuguese, drawing from varied sources including legislation, jurisprudence, legal articles, and government documents.
This is the raw version. Deduplicated version is available here.
Dataset Details
Dataset is composed by six corpora:
Ulysses-Tesemõ, MultiLegalPile (PT), ParlamentoPT,
Iudicium Textum, Acordãos TCU, and
DataSTF.
MultiLegalPile (Paper): a multilingual corpus of legal… See the full description on the dataset page: https://huggingface.co/datasets/eduagarcia/LegalPT.IndustryCorpus_education[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_education.Fineweb-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.mirror-eduagarcia__CrawlPT_dedup
CrawlPT (deduplicated)
CrawlPT is a generic Portuguese corpus extracted from various web pages.
This version is deduplicated using MinHash algorithm and Locality Sensitive Hashing, following the approach of Lee et al. (2022).
The raw version is also available here.
Dataset Details
Dataset is composed by three corpora:
brWaC, C100-PT, OSCAR-2301.
brWaC: a web corpus for Brazilian Portuguese from 120,000 different websites.
C100-PT: Portuguese subset from CC-100.… See the full description on the dataset page: https://huggingface.co/datasets/leeaandrob/mirror-eduagarcia__CrawlPT_dedup.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-arabic
fineweb-edu-arabic
Arabic translation of FineWeb-Edu (sample/350BT subset, filtered to language_score > 0.9), translated with Seed-X-PPO-7B using greedy decoding. Documents were split into ~490-token chunks, translated, and reassembled. Each row is one complete document. A companion corpus translated with the same pipeline is available at dclm-pro-arabic.
Details
Documents: 82,840,410 (27.9% of the source subset, uniformly sampled)
Arabic tokens: ~170B (Seed-X… See the full description on the dataset page: https://huggingface.co/datasets/SultanR/fineweb-edu-arabic.curio-rewrite-non-edu-dataset
Curio Rewrite — Non-Educational
Portuguese web texts (non-educational subset, sampled from ClassiCC) rewritten by Qwen2.5-7B-Instruct under four prompt styles. Companion to the educational subset; used to train the Curio rewrite models.
Config
Prompt style
Rows
easy
Simple vocabulary, child-friendly paraphrase
22,237,886
medium
Moderate paraphrase
14,698,285
hard
Sophisticated paraphrase
18,576,570
qa
Reformatted as question/answer
18,664,285
Fields… See the full description on the dataset page: https://huggingface.co/datasets/ClassiCC-Corpus/curio-rewrite-non-edu-dataset.DeepSWEGym2-Edu
Dataset Description
This dataset is a filtered and deduplicated version of a merge containing many high quality SWE datasets, it aims to improve benchmark results on DeepSWE-style problems, benchmarks, and general coding skills.
It is specifically filtered for rows with complex/long code problems in the original datasets, having an average row size of 291.74kb, a total uncompressed size of 14.93GB, and a total of 53649 examples.
Dataset Details
Curated by:… See the full description on the dataset page: https://huggingface.co/datasets/MoreThought/DeepSWEGym2-Edu.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 then… See the full description on the dataset page: https://huggingface.co/datasets/CharlesPing/fineweb-edu.Omni-Edu
Omni-Edu — Core V6 SFT mixture
69,999 supervised instruction examples (~158M characters) covering K-12 subject
competence, curriculum grounding, diagnostic reasoning, pedagogical action and
general-purpose instruction. 12,146 rows (17.4%) are multimodal; every image
referenced by the JSONL ships in this repository under images/.
This is the system-prompted assembly of the v6 core mixture: every row carries
an explicit system message, and the non-system turns are byte-identical… See the full description on the dataset page: https://huggingface.co/datasets/lhpku20010120/Omni-Edu.fineweb-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
DeepSWEGym-Edu
Dataset Description
This dataset is a heavily filtered version of all the SWE-bench/SWE-smith-lang datasets (expect php) merged together (originally 88k rows total), it aims to improve benchmark results on DeepSWE-style problems, benchmarks, and general coding skills.
It is specifically filtered for rows with very complex/long code problems in the original datasets, having an average row size of 101.81kb, a total uncompressed size of 4.29GB, and 42529 examples total.… See the full description on the dataset page: https://huggingface.co/datasets/MoreThought/DeepSWEGym-Edu.FineWeb-Edu-Quality4plus
📘 FineWeb-Edu-Quality4plus
Overview
FineWeb-Edu-Quality4plus is a high-quality filtered subset of the original
HuggingFaceFW/fineweb-edu dataset (ODC-By License).
This subset retains only samples with:
quality_score ≥ 4
The goal is to provide a cleaner and more reliable dataset suitable for
language model pre-training, instruction tuning, education-related NLP,
and quality-sensitive downstream tasks.
This work is independent and not affiliated with the official FineWeb… See the full description on the dataset page: https://huggingface.co/datasets/Morton-Li/FineWeb-Edu-Quality4plus.cultura_ru_edu
Cultura-Ru-Edu
The Cultura-Ru-Edu dataset consists of Russian educational web pages filtered from the uonlp/CulturaX dataset.
The dataset creation was inspired by HuggingFaceFW/fineweb-edu, but with a focus on the Russian language.
By filtering the dataset based on educational criteria, the Cultura-Ru-Edu dataset is both high-quality and large enough to train a Russian-focused language model for tasks requiring knowledge of the world.
Dataset curation
To create this… See the full description on the dataset page: https://huggingface.co/datasets/deepvk/cultura_ru_edu.fineweb-edu-dedup-shuffled
FineWeb-Edu-Dedup (Globally Shuffled)
A uniformly shuffled version of the FineWeb-Edu-Dedup subset from SmolLM-Corpus by HuggingFace.
Source Data
This dataset is derived from HuggingFaceTB/smollm-corpus, specifically the fineweb-edu-dedup subset. That subset is itself derived from FineWeb-Edu, a filtered and deduplicated extract of Common Crawl selected for educational content quality.
Property
Value
Source dataset
HuggingFaceTB/smollm-corpus
Source subset… See the full description on the dataset page: https://huggingface.co/datasets/JonathanMiddleton/fineweb-edu-dedup-shuffled.FinetextPL-Edu
FinetextPL-Edu
📄 Paper: FinetextPL-Edu: A High-Quality Polish Corpus for Large Language Model Pretraining via Educational Quality Filtering
TL;DR — ~160 million Polish documents from FineWeb2 and FinePDFs, each annotated with a prediction score (1–5) estimating educational value. Filter on prediction >= 2.5 to retain a quality-focused subset while preserving a robust portion of training tokens. Created as part of an engineering thesis on educational corpus curation for Polish… See the full description on the dataset page: https://huggingface.co/datasets/FinetextPL/FinetextPL-Edu.