datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FineWeb-HQ
FineWeb-HQ
Dataset Summary
FineWeb-HQ is a high-quality, model-filtered pretraining dataset derived as a subset of FineWeb. FineWeb-HQ was created by selecting the top 10% of FineWeb documents based on a deep learning classifier trained to identify structured and knowledge-rich samples. This classifier uses XLM-RoBERTa embeddings to score documents.
To validate our approach, we pretrained 1B-parameter LLM models with a Llama-like architecture across multiple… See the full description on the dataset page: https://huggingface.co/datasets/epfml/FineWeb-HQ.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-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-10B
Qdrant-FineWeb-10B
Overview
Qdrant-FineWeb-10B (Q-FineWeb-10B) is a 10-billion-vector retrieval benchmark derived from FineWeb. Each document is represented with dense and sparse embeddings from Alibaba-NLP/gte-multilingual-base, alongside its original FineWeb payload and metadata. The benchmark also includes exact brute-force ground truth for ~120,000 MS MARCO queries.
The dataset includes:
10 billion dense embeddings
10 billion sparse embeddings
FineWeb… See the full description on the dataset page: https://huggingface.co/datasets/Qdrant/FineWeb-10B.fineweb-tokenized
FineWeb Tokenized
> 4 trillion tokens of the pre-tokenized data the 🌐 web has to offer
What is it?
This is a pre-tokenized version of the HuggingFaceFW/fineweb dataset (currently in-progress, tokenization of the ~15 trillion tokens corpus is ongoing). The data is being pre-processed and tokenized using the AnisoleAI BPE tokenizer (52,022 vocabulary size) and packed into compact uint16 Parquet shards.
By distributing the pre-tokenized corpus, we eliminate… See the full description on the dataset page: https://huggingface.co/datasets/anisoleai/fineweb-tokenized.FineWeb2-HQ
FineWeb2-HQ
Dataset summary
FineWeb2-HQ is a high-quality, model-filtered pretraining dataset derived as a subset of FineWeb2, spanning 20 languages. It enables around 6x faster pretraining compared to the base dataset. FineWeb2-HQ was created by selecting the top 10% quality documents of FineWeb2 in each language, based on scores assigned by a deep learning classifier trained to identify structured and knowledge-rich samples using XLM-RoBERTa embeddings.
Validation… See the full description on the dataset page: https://huggingface.co/datasets/epfml/FineWeb2-HQ.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.FineWeb2-embedded
FineWeb2-embedded
Dataset summary
FineWeb2-embedded is an extension of the FineWeb2 dataset, annotated with document-level XLM-RoBERTa embeddings for 20 languages, making the dataset useful for a variety of tasks, including document clustering, filtering, and other multilingual research.
Since XLM-RoBERTa has a sequence length limit of 512 tokens, each document's embeddings are obtained by mean-pooling 512 token chunks of the XLM-RoBERTa output. Therefore, longer texts… See the full description on the dataset page: https://huggingface.co/datasets/epfml/FineWeb2-embedded.fineweb-edu-gpt2opc-fineweb-code-corpus
OpenCoder Dataset
The OpenCoder dataset is composed of the following datasets:
opc-sft-stage1: the sft data used for opencoder sft-stage1
opc-sft-stage2: the sft data used for opencoder sft-stage2
opc-annealing-corpus: the synthetic data & algorithmic corpus used for opencoder annealing
opc-fineweb-code-corpus: the code-related page recalled from fineweb <-- you are here
opc-fineweb-math-corpus: the math-related page recalled from finewebrefineCode-code-corpus-meta: the meta-data… See the full description on the dataset page: https://huggingface.co/datasets/OpenCoder-LLM/opc-fineweb-code-corpus.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.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-nopotter
📚 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/MindlessForMinerva/fineweb-nopotter.fineweb-2-turkish-categorized
What is this
THis is the categorized version of the Turkish subset of the fineweb-2 dataset.
It is an ongoing effort, and the details will be added soon with the rest of the dataset.
fineweb-2-edu-japanese
🍷 FineWeb2 Edu Japanese: High-Quality Educational Japanese Dataset
This dataset consists of 120 million texts (approximately 89.3B tokens) filtered from the 376 million Japanese texts in FineWeb2 that were deemed educational. The following subsets are also provided:
default: Approximately 120M texts (120 million texts) totaling around 89.3B tokens
sample_10BT: A random sample of about 10B tokens from the default dataset
small_tokens: Data composed solely of texts with 512 tokens… See the full description on the dataset page: https://huggingface.co/datasets/hotchpotch/fineweb-2-edu-japanese.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.fineweb-2-dutchfineweb-tokenized-fake
What is it?
It's similar to anisolai/fineweb-tokenized but fake.
I don't understand why I did that :)
WARNING:
WHY ARE YOU DOWNLOADING IT? YOU COULD LOSE MILLIONS OF DOLLARS IF YOU USE IT TO TRAIN SOMEONE.
WHY ARE YOU DOWNLOADING IT? YOU COULD LOSE MILLIONS OF DOLLARS IF YOU USE IT TO TRAIN SOMEONE.
WHY ARE YOU DOWNLOADING IT? YOU COULD LOSE MILLIONS OF DOLLARS IF YOU USE IT TO TRAIN SOMEONE.
WHY ARE YOU DOWNLOADING IT? YOU COULD LOSE MILLIONS OF DOLLARS IF YOU USE IT TO TRAIN… See the full description on the dataset page: https://huggingface.co/datasets/mondk/fineweb-tokenized-fake.fineweb-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-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
FineWeb2024
FineWeb-Edu 2024 — Cleaned and Shuffled
This dataset is a year-specific, cleaned, shuffled, and sharded release derived from HuggingFaceFW/fineweb-edu. It contains English educational web text collected in Common Crawl snapshots whose dump identifier belongs to 2024.
This is not a news-only dataset. The year refers to the Common Crawl capture year, not necessarily the page's publication year.
Dataset summary
Item
Value
Year
2024
Rows
162,500,784… See the full description on the dataset page: https://huggingface.co/datasets/Yahoo-Finance-News/FineWeb2024.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.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.pretrain-ultra-fineweb-mixNormalized documents plus aligned Dolma-2 tokens and target masks.
Size
Tokens
73,328,911,347 (73.3B)
Trainable tokens
73,328,911,347 (73.3B)
Documents
92,923,076
Shards
578
UTF-8 bytes
364,562,557,837
Tokenizer
allenai/dolma2-tokenizer@5292e5d6c0f4
documents.parquet - document_id, text, part_ends, part_trainable,
must_not_split. The readable payload and the mask intent.
metadata.parquet - one text-free row per document: token span, source,
stratum… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/pretrain-ultra-fineweb-mix.fineweb2-bagaco
Bagaço 🍷🇵🇹
Bagaço is a pretraining dataset for European Portuguese. It filters the Fineweb2 dataset to URLs from Portuguese domains (e.g., .pt/). Each document is classified into one of 9 categories and scored for educational quality.
Filtering
Source: HuggingFaceFW/fineweb-2, subset por_Latn, split train
Filter: URLs containing .pt/ (Portuguese top-level domain)
Document classification
Each document is classified into one of 9 categories: Society, Arts… See the full description on the dataset page: https://huggingface.co/datasets/duarteocarmo/fineweb2-bagaco.fineweb2-arb-eduFineWeb2025
FineWeb-Edu 2025 — Cleaned and Shuffled
This dataset is a year-specific, cleaned, shuffled, and sharded release derived from HuggingFaceFW/fineweb-edu. It contains English educational web text collected in Common Crawl snapshots whose dump identifier belongs to 2025.
This is not a news-only dataset. The year refers to the Common Crawl capture year, not necessarily the page's publication year.
Dataset summary
Item
Value
Year
2025
Rows
99,022,205… See the full description on the dataset page: https://huggingface.co/datasets/Yahoo-Finance-News/FineWeb2025.fineweb-filter-malaysian-context
HuggingFaceFW/fineweb filter Malaysian context
What is it?
We filter the original 🍷 FineWeb dataset that consists more than 15T tokens on simple Malaysian keywords.
Total tokens for the filtered dataset is 174102784199 tokens, 174B tokens.
How we do it?
We filter rows using {'malay', 'malaysia', 'melayu', 'bursa', 'ringgit'} keywords on r5.16xlarge EC2 instance for 7 days.
We calculate total tokens using tiktoken.encoding_for_model("gpt2") on c7a.24xlarge EC2… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/fineweb-filter-malaysian-context.fineweb_100BT-shuffled
FineWeb 100BT (Shuffled)
A globally shuffled version of HuggingFaceFW/fineweb_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_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 with… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb_100BT-shuffled.fineweb-edu-1k