datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RecreationBench
RecreationBench
GitHub · Website · Leaderboard · Report ↗
RecreationBench is a benchmark of 250 application-recreation tasks across Ubuntu, macOS, Windows, Android, and Web. It is the held-out evaluation suite of RecreationWorld, a framework for scalable and verifiable environments for hybrid computer-use agents.
Given a high-level recreation request and interactive access to a running reference application, an agent explores its behavior, implements a new application, and… See the full description on the dataset page: https://huggingface.co/datasets/Qwen/RecreationBench.SuperWiki-1.5
Dataset Details
Waifu to catch your attention.
Dataset Description
SuperWIKI-1.5 is a ~18.23B Tokens (llama-2-7b-chat-tokenizer) / ~15.17B Tokens (RWKV Tokenizer) multilingual dataset of Wikipedia articles, curated from Wikipedia HTML dumps.
It serves as a training resource for large language models and other NLP tasks.
This card details the dataset's origin, content, and limitations.
Curated by: KaraKaraWitch
Funded by: Recursal.ai (I work there lol)
Shared by:… See the full description on the dataset page: https://huggingface.co/datasets/recursal/SuperWiki-1.5.ccrawl-recrawl-domains
Common Crawl Domain Recrawl
Live fetches of the home page of every ranked domain in Common Crawl's web graph, rendered to Markdown as they are fetched
What is it?
Common Crawl's web graph ranks domains by how central they are, but it does not tell you what those domains actually serve today. This dataset walks that ranking from the top and fetches each domain's home page now, storing the response as one Parquet row with the body, the headers, the timing and the… See the full description on the dataset page: https://huggingface.co/datasets/open-index/ccrawl-recrawl-domains.Fanatic-Fandom
Dataset Card for Fanatic Fandom
Waifu to catch your attention.
Dataset Details
Dataset Description
Fanatic Fandom is a cleaned dataset of a raw scrape of fandom wikis. We crawled all the publicly available wikis and crawled each page.Filtering to a total amount of tokens of ~7.43B (llama-2-7b-chat-tokenizer) / ~6.27B (RWKV Tokenizer) from primarily English language.
Curated by: KaraKaraWitch
Funded by: Recursal.ai (I work there lol)
Shared by: KaraKaraWitch… See the full description on the dataset page: https://huggingface.co/datasets/recursal/Fanatic-Fandom.ReCITE
ReCITE: Real-world CausalIty from Textual Evidence Benchmark
ReCITE (Real-world CausalIty from Textual Evidence) is a benchmark for evaluating LLMs on causal graph extraction from real-world scientific text. It contains 292 annotated causal graphs from open-access MDPI and PLOS articles spanning diverse OpenAlex fields.
Paper: Can Large Language Models Infer Causal Relationships from Real-World Text?
GitHub: ReCITE Repository
Dataset Configurations
This dataset has… See the full description on the dataset page: https://huggingface.co/datasets/RyanSaklad/ReCITE.All-CVE-Records-Training-Dataset
CVE Chat‑Style Multi‑Turn Cybersecurity Dataset (1999 – 2025)
1. Project Overview
This repository hosts the largest publicly available chat‑style, multi‑turn cybersecurity dataset to date, containing ≈ 300 000 Common Vulnerabilities and Exposures (CVE) records published between 1999 and 2025. Each record has been meticulously parsed, enriched, and converted into a conversational format that is ideal for training and evaluating AI and AI‑Agent systems focused on… See the full description on the dataset page: https://huggingface.co/datasets/AlicanKiraz0/All-CVE-Records-Training-Dataset.ccrawl-recrawl-urls
Common Crawl URL Recrawl
Live refetches of pages from Common Crawl's URL index, with the body inline and the text already extracted
What is it?
Common Crawl publishes which URLs it saw and when, but the page bodies live in WARC archives that are awkward to query and are as old as the crawl that made them. This dataset takes the URL index for a single monthly crawl and fetches the pages again now, storing each response as one Parquet row with the body, the… See the full description on the dataset page: https://huggingface.co/datasets/open-index/ccrawl-recrawl-urls.Sequential-Math
RecursiveMAS Sequential-Math
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Sequential-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Sequential-Math
Original file
Sequential-Math.json
Collaboration style
Sequential-Style
Used for
sequential math inner agents and outer RecursiveLink… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Sequential-Math.recube-data
Data
This directory contains all benchmark data for the Re2Code repository-level code reconstruction benchmark.
Download
All data files are hosted on Hugging Face and can be downloaded using:
# Install huggingface_hub if not already installed
pip install huggingface_hub
# Download the entire dataset
huggingface-cli download wlqmfl1999/recube-data --repo-type=dataset --local-dir data/
# Or download in Python
from huggingface_hub import snapshot_download… See the full description on the dataset page: https://huggingface.co/datasets/wlqmfl1999/recube-data.Europarl-Translation-Instruct
Dataset Card for Europarl-Translation-Instruct
Waifu to catch your attention.
Dataset Details
Dataset Description
europarl-translation-instruct is a translation instruct dataset built from europarl data.
Curated by: M8than
Funded by: Recursal.ai
Shared by: M8than
Language(s) (NLP): English instruct (but various languages in)
License: cc-by-sa-4.0
Dataset Sources
Source Data: https://www.statmt.org/europarl/ (Transcript source)
Processing… See the full description on the dataset page: https://huggingface.co/datasets/recursal/Europarl-Translation-Instruct.sequence-recovery
Next K-mer Prediction
Abouts
The Next K-mer Prediction task is a zero-shot evaluation method introduced in the GENERator paper to assess the quality of pretrained models. It involves inputting a sequence segment into the model and having it predict the next K base pairs. The predicted sequence is then compared to the actual sequence to assess accuracy.
Sequence: The input sequence has a maximum length of 96k base pairs (bp). You can control the number of input… See the full description on the dataset page: https://huggingface.co/datasets/GenerTeam/sequence-recovery.iwr-bench-web-reconstruction
IWR-Bench: Interactive Web Reconstruction Benchmark
Summary
IWR-Bench is an Interactive Web Reconstruction benchmark dataset. Each subfolder contains complete data for one website, including interaction recordings, step-by-step screenshots, page assets, and AI-generated frontend code.
The dataset supports training and evaluating AI systems that can reconstruct interactive web pages from exploration recordings -- a key capability for GUI agents, web automation, and code… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/iwr-bench-web-reconstruction.recursive-task-synthesis-glm-5.3-rollouts
GLM 5.3 agentic rollouts on Recursive-Task-Synthesis
This dataset catalogs the full collection made from the pinned
Recursive-Task-Synthesis dataset revision
be44f96808d5a9b599d5cb024341ff00091adeb7. The repository includes approximately 260.5 GiB of trajectory payload tar shards.
Contents at a glance
Item
Count
Source tasks considered
37,284
Source candidates inspected
19,368
Converted tasks after source filters
18,600
Tasks passing gold… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/recursive-task-synthesis-glm-5.3-rollouts.SuperWikiNEXT-32B
Dataset Card for SuperWikiNEXT-32B
Waifu to catch your attention.
Dataset Details
Dataset Description
SuperWikipedia-NEXT is an enhanced version of the SuperWIKI dataset. Which SuperWIKI was born out of the thought of a better filtered Wikipedia while retaining markdowns.
SuperWikipedia-NEXT contains ~32.44B Tokens (llama-2-7b-chat-tokenizer) / ~27.92B Tokens (RWKV Tokenizer) from approximately 60 "High quality" / "Selected" languages.
Curated by:… See the full description on the dataset page: https://huggingface.co/datasets/recursal/SuperWikiNEXT-32B.receipted-unsloth
Receipted Unsloth
How SZL Holdings actually trains. Silhouette from Unsloth QLoRA. Cut is original SZL. We do not republish Unsloth Studio, Desktop, copy, code, or someone else's tensors.
Collection: Receipted Unsloth — LIVE
The house loop
Disclose the Apache base (Qwen/Qwen2.5-* or Qwen/Qwen3.5-0.8B).
Train with Unsloth FastLanguageModel QLoRA on owner metal or HF Jobs (uv run + HF_TOKEN).
Bind dataset SHA-256, LoRA knobs, seed, and loss into a training receipt.… See the full description on the dataset page: https://huggingface.co/datasets/SZLHOLDINGS/receipted-unsloth.reprocessed_singapore_national_speech_corpus
Dataset Card for Reprocessed National Speech Corpus
NOTE: This is an Reprocessed version KaraKaraWitch from Recursal.The official download can be found here.
Dataset Details
Dataset Description
Dataset Description:
The National Speech Corpus (NSC) is the first large-scale Singapore English corpus, sponsored by the Info-communications and Media Development Authority (IMDA) of Singapore. The objective is to serve as a primary resource of open speech data for… See the full description on the dataset page: https://huggingface.co/datasets/recursal/reprocessed_singapore_national_speech_corpus.UltrachatBR
UltrachatBR: Um Dataset em Português baseado no Ultrachat
O UltrachatBR é uma versão em português do conhecido dataset Ultrachat, originalmente desenvolvido para o idioma inglês. Este projeto visa disponibilizar uma vasta coleção de diálogos traduzidos para o português, ampliando assim o acesso a recursos de processamento de linguagem natural para a comunidade de língua portuguesa.
Processo de Tradução
O processo de tradução foi realizado utilizando a API do Google… See the full description on the dataset page: https://huggingface.co/datasets/recogna-nlp/UltrachatBR.recipe_nlgThe dataset contains 2231142 cooking recipes (>2 millions). It's processed in more careful way and provides more samples than any other dataset in the area.OKReddit-ReleaseCandidate3
A newer version can be found here: recursal/OKReddit-ReleaseCandidate4
OKReddit - Release Candidate 2023
Dataset Summary
OKReddit is a filtered collection of 6.5 TiB (An estimated 600M rows of reddit submissions) of reddit submissions and comments from 2005 to 2023. This dataset has been prepared for research or archival purposes.
This dataset includes (obviously) a filtered list of subreddits.
Curated by: KaraKaraWitch
Funded by: Recursal.ai
Shared by:… See the full description on the dataset page: https://huggingface.co/datasets/recursal/OKReddit-ReleaseCandidate3.harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-30m-historical-20t-think
harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-30m-historical-20t-think
1,000 historical evaluation attempts (250 tasks, four samples per task), newly
graded with gpt-5.6-sol using Harvey's original per-criterion rubric prompt
and all-criteria-pass rule. Mean all-pass rate: 5.0000%.
The train split contains evaluation records, not training examples.
Generation and grading protocols
Generation is unchanged: historical 20-turn thinking-enabled
glob/grep/read agent… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-30m-historical-20t-think.harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-3m-historical-20t-think
harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-3m-historical-20t-think
1,000 historical evaluation attempts (250 tasks, four samples per task), newly
graded with gpt-5.6-sol using Harvey's original per-criterion rubric prompt
and all-criteria-pass rule. Mean all-pass rate: 1.3000%.
The train split contains evaluation records, not training examples.
Generation and grading protocols
Generation is unchanged: historical 20-turn thinking-enabled
glob/grep/read agent… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-3m-historical-20t-think.harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-10m-historical-20t-think
harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-10m-historical-20t-think
1,000 historical evaluation attempts (250 tasks, four samples per task), newly
graded with gpt-5.6-sol using Harvey's original per-criterion rubric prompt
and all-criteria-pass rule. Mean all-pass rate: 4.0000%.
The train split contains evaluation records, not training examples.
Generation and grading protocols
Generation is unchanged: historical 20-turn thinking-enabled
glob/grep/read agent… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/harvey-eval-gpt56sol-qwen35-9b-notes70-recall30-10m-historical-20t-think.recube-dataThis dataset serves as the official data repository for the ReCUBE benchmark; the corresponding evaluation codebase and execution instructions can be found at https://anonymous.4open.science/r/ReCUBE-E0FB/README.md.
Data
This directory contains all benchmark data for ReCUBE.
Download
All data files are hosted on Hugging Face and can be downloaded using:
# Install huggingface_hub if not already installed
pip install huggingface_hub
# Download the entire dataset… See the full description on the dataset page: https://huggingface.co/datasets/recube-anon-2026/recube-data.MDN
Dataset Card for MDN
Waifu to catch your attention.
Dataset Description
MDN is a ~57M Tokens (llama-2-7b-chat-tokenizer) / ~46.52M Tokens (RWKV Tokenizer) scrape of MDN (Developer.mozilla.org).
It serves as a training resource for large language models and other NLP tasks.
This card details the dataset's origin, content, and limitations.
Curated by:KaraKaraWitch
Funded by: Recursal.ai (I work there lol)
Shared by: KaraKaraWitch
Language(s) (NLP): English, Espanol… See the full description on the dataset page: https://huggingface.co/datasets/recursal/MDN.OKReddit-ReleaseCandidate4
Dataset Summary
OKReddit is a filtered collection of 6.5 TiB (An estimated 600M rows of reddit submissions) of reddit submissions and comments from 2005 to 2023. This dataset has been prepared for research or archival purposes.
This dataset includes (obviously) a filtered list of subreddits.
Curated by: KaraKaraWitch
Funded by: Recursal.ai
Shared by: KaraKaraWitch
Language(s) (NLP): Mainly English. Other languages are available at smaller sizes.
License: Scripts folder are Apache… See the full description on the dataset page: https://huggingface.co/datasets/recursal/OKReddit-ReleaseCandidate4.recon-eval
ReconEval — Financial Reconciliation Benchmark
Reading results from this benchmark. Four properties of ReconEval shape what
a score on it means. Anyone comparing models here should know them.
One class can dominate a margin. PARTIAL_MATCH is the highest-variance class
between models, and its 32 evaluation items are generated from 9 abbreviation
pairs — all of which also appear in the training split, overlap fraction 1.0. On
this set, "learned the concept" and "memorised nine… See the full description on the dataset page: https://huggingface.co/datasets/caiotheodoro/recon-eval.StackingExchange
Dataset Card for StackingExchange
Waifu to catch your attention.
Dataset Description
StackingExchange is a ~31.17B Tokens (llama-2-7b-chat-tokenizer) / ~27.17B Tokens (RWKV Tokenizer) of Stack Exchange.
It serves as a training resource for large language models and other NLP tasks.
This card details the dataset's origin, content, and limitations.
Curated by: KaraKaraWitch
Funded by: Recursal.ai (I work there lol)
Shared by: KaraKaraWitch
Language(s) (NLP): English… See the full description on the dataset page: https://huggingface.co/datasets/recursal/StackingExchange.tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified
Text to Terminal, v2 — Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned, combined, and thinking-augmented version of muellerzr/text_to_terminal_v2. It pairs natural language instructions with their corresponding terminal/bash commands, now augmented with explicit <think> reasoning traces that model the step-by-step thought process before producing the final command.The restructuring approach is directly… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified.html-table-reconstruction-benchmark
HTML Table Reconstruction Benchmark
This repository contains the 100-sample HTML table reconstruction benchmark artifacts used for the paper's SFD MMD vs. EdgarTools vs. to_markdown comparison. Each sample starts from a synthetic SEC-style table and evaluates whether a model can reconstruct faithful HTML from a parser-specific markdown representation.
The uploaded artifacts are the saved benchmark outputs used for the reported table; no model calls were rerun during upload.… See the full description on the dataset page: https://huggingface.co/datasets/sfd-anonymous/html-table-reconstruction-benchmark.EduBench
EduBench 📚
EduBench é um benchmark em português brasileiro para avaliação de Large Language Models (LLMs) em tarefas educacionais, composto por 3,149 questões discursivas extraídas de vestibulares de alta competitividade.
GitHub
Paper
Dataset Description
Fontes
USP: Universidade de São Paulo
UNICAMP: Universidade Estadual de Campinas
UNESP: Universidade Estadual Paulista
Período
2015-2025 (11 anos de provas)
Áreas do… See the full description on the dataset page: https://huggingface.co/datasets/recogna-nlp/EduBench.