datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
swallow-math-v2
SwallowMath-v2
Resources
📑 arXiv: Read our paper for detailed methodology at arXiv:2505.02881.
🤗 Sister Dataset: Discover SwallowCode2, our companion dataset for code generation.
🧮 What is it?
SwallowMath-v2 is a large-scale mathematical dataset containing 32 billion tokens, developed as the successor to SwallowMath-v1.
Building on the success of v1, this release aims to construct a larger-scale and more permissively licensed corpus to support open and… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-math-v2.swallow-code-v2
SwallowCode-v2
Resources
📑 arXiv: Read our paper for detailed methodology and results at arXiv:2505.02881.
🤗 Sister Dataset: Discover SwallowMath-v2, our companion dataset for mathematical reasoning.
💻 What is it?
SwallowCode-v1 was a high-quality Python code dataset generated through an LLM-based rewriting pipeline.
However, it had two significant limitations:
(1) it was distributed under the Llama 3.3 Community License, and
(2) its size was limited to… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-code-v2.swallow-math
SwallowMath
October 21, 2025: Newer versions are available: SwallowCode-v2 and SwallowMath-v2 have been released with improved rewriting pipelines.
Resources
🐙 GitHub: Explore the project repository, including pipeline code and prompts at rioyokotalab/swallow-code-math.
📑 arXiv: Read our paper for detailed methodology and results at arXiv:2505.02881.
🤗 Sister Dataset: Discover SwallowCode, our companion dataset for code generation.
What is it?… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-math.swallow-code
SwallowCode
Notice
May 21, 2025: We have deleted ablation/exp1-the-stack-v2-train-smol-ids-python because it was flagged as potentially containing unsafe data collected from the Python subset of https://huggingface.co/datasets/bigcode/the-stack-v2-train-smol-ids. However, since this dataset can be reconstructed from the-stack-v2-train-smol-ids, there is no issue in terms of reproducibility.
May 21, 2025: ClamAV has flagged “Win.Trojan.MSShellcode-88” in… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-code.Swallow-Nemotron-Post-Training-Dataset-v1
Swallow-Nemotron-Post-Training-Dataset-v1
The Swallow LLM Project constructed the Swallow-Nemotron-Post-Training-Dataset-v1 based on the math, code, and stem subsets of the NVIDIA Nemotron-Post-Training-Dataset-v1, as illustrated in the figure below.
Dataset Construction
The original Thinking Trajectories and Assistant Outputs in the Nemotron-Post-Training-Dataset-v1 were synthesized using DeepSeek-R1-0528.
However, we identified an issue with the Thinking… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/Swallow-Nemotron-Post-Training-Dataset-v1.urls-tokenized
URLs (tokenized)
ks46/urls-sampled run through a byte-level
BPE built for URLs, stored as flat uint16 token streams that memory-map
directly into a training loop.
Shards
512
URLs
18,729,786,698
Tokens
664,731,047,208
Vocabulary
8,192
Token dtype
uint16, little-endian
There is no parquet here and the dataset viewer will not render it. These
are raw token bins; see Reading the data below.
Layout
tokenizer/ the exact vocabulary… See the full description on the dataset page: https://huggingface.co/datasets/ks46/urls-tokenized.Qwen3.8-27B-Distill-1M-3.12B-Tokens
Qwen3.8-27B-Distill-1M-4.83B-Tokens
A unified, globally deduplicated, large-scale supervised distillation corpus built from 992,318 conversations generated by Qwen/Qwen3.8-27B, containing 4,834,771,862 target output tokens (3,570,459,498 reasoning tokens + 1,264,312,364 final response tokens) and 5,104,980,053 total sequence tokens.
1. Dataset Overview
This dataset merges, aligns, and deduplicates the two primary high-quality Qwen3.8-27B generation corpora on… See the full description on the dataset page: https://huggingface.co/datasets/MaxDevv/Qwen3.8-27B-Distill-1M-3.12B-Tokens.multilingual_tokenizer_benchmark
Multilingual Tokenizer Benchmark
More details of each subset like word count, character count, original sources, etc, can be found in the dataset_meta.yaml file in the repository root.
Natural language word count functions
Download spacy models
pip install ntlk spacy pygments underthesea camel-tools
python -m spacy download ko_core_news_sm
python -m spacy download ja_core_news_sm
python -m spacy download zh_core_web_sm
import nltk
nltk.download('punkt_tab')… See the full description on the dataset page: https://huggingface.co/datasets/eduagarcia/multilingual_tokenizer_benchmark.dolma3_dolmino_megatron_tokenize
Dolma 3 / Dolmino Megatron-LM indexed dataset
This repository contains immutable Megatron-LM indexed datasets (.bin and
.idx) produced from pinned Dolma 3 and Dolmino releases. It intentionally
contains no training checkpoints, experiment outputs, logs, or dataset caches.
The indexed payloads were derived from these pinned public datasets:
allenai/dolma3_mix-150B-1025@afa92bfb22366821c5e6cd427cdd036b34b713ef… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Philo/dolma3_dolmino_megatron_tokenize.swallow-magpie-ultra-v0.1
📰 News
[07/01/2025] Release of the first version of the dataset containing 42k Japanese pairs and 42k English pairs.
Dataset Summary
Part of Swallow-Magpie-Ultra-v0.1 is a subset of instruction tuning data for training tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.3, tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3, tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2.
The data extracted from magpie-ultra-v0.1 with a quality of average, good, or excellent is… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-magpie-ultra-v0.1.data-32k-200b-tokens
TR-HASH 32K · 200B Token Mixture
Pretokenized training mixture for compact TR-HASH language-model research.
The Dataset Viewer displays one summary row per source. The actual training data
is stored as packed uint16 token shards under corpora/<source>/tokens-*.bin.
Each sequence contains 1,024 token IDs produced by the project 32K tokenizer.
Mixture
Source
Weight
Training tokens
DCLM
45%
90B
FineWeb-Edu deduplicated
30%
60B
Stack-Edu
10%
20B… See the full description on the dataset page: https://huggingface.co/datasets/Pacific-i64/data-32k-200b-tokens.speakleash-tokenizer-5gb-sample
SpeakLeash tokenizer 42GB quality sample
Private tokenizer-training sample built from a stratified local SpeakLeash text snapshot on gb10.
Target: 5.0 GiB raw JSONL UTF-8 bytes after document filters and exact text dedup.
Format: data/tokenizer_sample_*.jsonl.zst, one JSON object per line with text, source, source_kind.
This is intended for tokenizer/BPE training convergence tests.
s1-test-time-scaling-synth-public
s1-test-time-scaling-synth: Japanese and English Reinforcement Learning Dataset Derived from the s1 Simple Test-Time Scaling Dataset
This repository contains s1-test-time-scaling-synth, a reinforcement learning dataset in Japanese and English.This dataset is built upon the supervised fine-tuning dataset simplescaling/data_ablation_full59K (hereafter, the "original dataset"), originally developed in "s1: Simple test-time scaling" [Muennighoff+, EMNLP25].
The original dataset is a… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/s1-test-time-scaling-synth-public.swallow-gemma-magpie-v0.1
📰 News
[07/01/2025] Release of the first unfiltered version of the dataset containing 148k pairs.
Dataset Summary
Swallow-Gemma-Magpie-v0.1 is a synthetic instruction tuning dataset that consists of multiple category Japanese question-answering tasks.
It consists of 148k question-answering-samples, generated with google/gemma-2-27b-it.
Part of Swallow-Gemma-Magpie-v0.1 is a subset of instruction tuning data for training tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.3… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-gemma-magpie-v0.1.TRM-modified-datamix-tokenized
TRM modified datamix (tokenized)
Pre-tokenized reasoning/pretraining mixture for from-scratch TRM (Tiny Recursive Model)
training, built by running data_io — the HRM-Text data
pipeline — verbatim on sapientinc/HRM-Text-data-io-cleaned-20260515, with three
deliberate, documented deviations (below).
It is emitted in the V1 tokenized dataset format (a single concatenated token pool +
per-epoch document indices) and is ready to stream directly into training — no re-tokenization.… See the full description on the dataset page: https://huggingface.co/datasets/m-ric/TRM-modified-datamix-tokenized.movie-screenplays-tokenized-dataset
Screenplay Corpus — Tokenized (GPT-2)
Pre-tokenized screenplay corpus used to train and evaluate the models in the GPT-2 Screenplay Fine-Tuning Study. Derived from Movie-Script-Database by Aveek Saha. Provided as tokenized JSON splits ready for direct consumption by a GPT-2 Trainer pipeline — no preprocessing required.
Dataset Description
This dataset contains approximately 94 million tokens of professionally formatted screenplay text, pre-tokenized using the… See the full description on the dataset page: https://huggingface.co/datasets/raghavnimbalkar/movie-screenplays-tokenized-dataset.soliloquy
GPT-5.6 Luna Diverse SFT 900
Diverse synthetic SFT traces distilled from openai/gpt-5.6-luna through an OpenAI-compatible endpoint. Each row is already formatted as a complete system / user / assistant conversation and can be passed directly to a tokenizer's chat template.
The prompt mix is intentionally task-diverse rather than benchmark- or multiple-choice-shaped. The assistant response uses a consistent reasoning format:
<think>
deliberate reasoning trace
</think>
final… See the full description on the dataset page: https://huggingface.co/datasets/tokendr/soliloquy.data-32k-200b-tokens
TR-HASH 32K · 200B Token Mixture
Pretokenized training mixture for compact TR-HASH language-model research.
The Dataset Viewer displays one summary row per source. The actual training data
is stored as packed uint16 token shards under corpora/<source>/tokens-*.bin.
Each sequence contains 1,024 token IDs produced by the project 32K tokenizer.
Mixture
Source
Weight
Training tokens
DCLM
45%
90B
FineWeb-Edu deduplicated
30%
60B
Stack-Edu
10%
20B… See the full description on the dataset page: https://huggingface.co/datasets/AETHORIA-AI/data-32k-200b-tokens.pedro-open-dataset-max-512-tokenspedro-open-dataset-max-512-tokens-25koellm-longctx-tokenized-superlong-512k-1m-2m-v1
OELLM Superlong Long-Context Tokenized 512K/1M/2M v1
This dataset is a superlong-context continuation-training add-on for extending beyond 256K toward 1M-2M context windows.
The design goal is not simply longer packed text. At 1M-2M, the model needs collection-level continuity and explicit pressure to use very old evidence. This artifact therefore mixes real long structured/natural sources with a small multilingual full-span recall component.
Source families:
RFC Editor… See the full description on the dataset page: https://huggingface.co/datasets/birgermoell/oellm-longctx-tokenized-superlong-512k-1m-2m-v1.pedro-open-dataset-max-512-tokens-10kFineWeb-Edu-Spanish
High Quality Spanish Corpus
This dataset contains a sample of a large collection of high-quality Spanish text data with their metadata.
To access the full data please visit Token Haven
Creation
The dataset was created by filtering all English common crawl data for high-quality text using the FineWeb-Edu classifier with education score of 4 or higher over 5.
The data is source from the v1.0.0 of the HuggingFaceFW/fineweb-edu dataset which corresponds to… See the full description on the dataset page: https://huggingface.co/datasets/TokenHaven/FineWeb-Edu-Spanish.FineWeb-Edu-Arabic
High Quality Arabic Corpus
This dataset contains a large collection of high-quality Arabic text data with their metadata.
To access the full data please visit Token Haven
Creation
The dataset was created by filtering all English common crawl data for high-quality text using the FineWeb-Edu classifier with education score of 4 or higher over 5.
The data is source from the v1.0.0 of the HuggingFaceFW/fineweb-edu dataset which corresponds to CC-MAIN-2024-10 from… See the full description on the dataset page: https://huggingface.co/datasets/TokenHaven/FineWeb-Edu-Arabic.next_token
Supreme Court of India Judgments Dataset (1950-2025)
Dataset Description
This dataset contains a comprehensive collection of judgments and orders from the Supreme Court of India, spanning from its inception in 1950 up to early 2025.
Dataset Summary
Total Documents: 26,688
Total Tokens: ~196.9 Million (counted using cl100k_base encoding)
Format: JSONL (JSON Lines)
Language: English
Time Range: 1950 - 2025
Data Fields
Each entry in the .jsonl file… See the full description on the dataset page: https://huggingface.co/datasets/psychopenguin/next_token.glm47-pie-cpp-posttraining-data
GLM-4.7-Flash PIE C++ Post-Training Data
The exact prepared dataset used for the GLM-4.7-Flash C++ performance
post-training runs.
Splits
File
Rows
Purpose
sft/train.jsonl
7,864
Supervised fine-tuning
grpo/train.jsonl
7,887
GRPO prompt and reward evaluation
eval/validation.jsonl
1,259
Full held-out evaluation
eval/validation_mini126.jsonl
126
Fast evaluation
eval/validation_mini4.jsonl
4
Smoke evaluation
tasks.tar.gz
9,146 task JSONs
Reward… See the full description on the dataset page: https://huggingface.co/datasets/TokenBender/glm47-pie-cpp-posttraining-data.pashto-warmup-tokens
Pashto Warmup Tokens Dataset
This dataset contains a curated, deduplicated collection of high-quality, contextually accurate Pashto linguistic examples. It maps structural language tasks directly to the most critical vocabulary tokens in Pashto, providing a reliable corpus for token warmup, instruction tuning, evaluation, and post-OCR text correction workflows.
Dataset Summary
The initial release consists of 4,087 verified entries targeting high-frequency and… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/pashto-warmup-tokens.FineVideo-Prototype-Tokenized
FineVideo-Prototype-Tokenized — Base Video Token Dataset
Overview
This dataset contains the base video tokenization output from the prototype pipeline, extracted from ~40K YouTube videos in the FineVideo dataset.
Each video is tokenised into three modalities:
Seed2 — 1 FPS semantic keyframe tokens (vocab: 8,192)
Cosmos — every 8 frames spatial video tokens (vocab: 64,000)
AVC-LM — every 8 frames H.264 BPE tokens (vocab: 8,192)
This dataset does not contain 3D… See the full description on the dataset page: https://huggingface.co/datasets/EmpathicRobotics/FineVideo-Prototype-Tokenized.c4-en-tokenized
C4 English Tokenized Samples
This dataset contains tokenized English samples from the C4 (Colossal Clean Crawled Corpus) dataset for natural language processing (NLP) tasks.
The first 125 000 entries from the en split of allenai/c4
were tokenized using spaCy's en_core_web_sm model. Tokens joined with spaces.
Features
text: Original text from C4
tokenized: The tokenized and space-joined text
num_tokens: Number of tokens after tokenization
num_punct_tokens: Number of… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/c4-en-tokenized.FineWeb-Edu-Norwegian
High Quality Norwegian Corpus
This dataset contains a large collection of high-quality Norwegian text data with their metadata.
To access the full data please visit Token Haven
Creation
The dataset was created by filtering all English common crawl data for high-quality text using the FineWeb-Edu classifier with education score of 4 or higher over 5.
The data is source from the v1.0.0 of the HuggingFaceFW/fineweb-edu dataset which corresponds to CC-MAIN-2024-10… See the full description on the dataset page: https://huggingface.co/datasets/TokenHaven/FineWeb-Edu-Norwegian.