datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
symile-m3
Dataset Card for Symile-M3
Symile-M3 is a multilingual dataset of (audio, image, text) samples. The dataset is specifically designed to test a model's ability to capture higher-order information between three distinct high-dimensional data types: by incorporating multiple languages, we construct a task where text and audio are both needed to predict the image, and where, importantly, neither text nor audio alone would suffice.
Paper: https://arxiv.org/abs/2411.01053
GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/arsaporta/symile-m3.arsma-knowledge-dbIllusionBenchFinglish-To-Persian-Dataset-Large
Finglish to Persian Large Dataset
A massive-scale parallel corpus containing over 9.8 million sentence pairs for Finglish (Latin-script Persian) to Persian script transliteration. This dataset provides a robust foundation for training and fine-tuning seq2seq models, normalizing user-generated text, and enhancing Persian input methods.
What is Finglish?
Finglish (also known as Pinglish) is the practice of writing Persian using the Latin alphabet. Because there is… See the full description on the dataset page: https://huggingface.co/datasets/Arshia82sbn/Finglish-To-Persian-Dataset-Large.ar_sarcasm
Dataset Card for ArSarcasm
Dataset Summary
ArSarcasm is a new Arabic sarcasm detection dataset.
The dataset was created using previously available Arabic sentiment analysis
datasets (SemEval 2017
and ASTD) and adds sarcasm and
dialect labels to them.
The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic.
For more details, please check the paper
From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/iabufarha/ar_sarcasm.arsnokyojuu
Bangumi Image Base of Ars No Kyojuu
This is the image base of bangumi Ars no Kyojuu, we detected 70 characters, 5038 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/arsnokyojuu.alexandria-system
ALEXANDRIA - frozen system artifacts
Every file needed to run the evaluated ALEXANDRIA system: the 41 ZIM archives its
retriever searches at query time, the pre-built index, and the three models.
53 objects, 96.66 GB. Nothing needs to be rebuilt.
Code, installer and verification suite: https://github.com/arsh-imam/alexandria-system
Contents
folder
objects
contents
wikipedia/
9
6 primary archives + wikipedia_en.zim in 3 parts
zim_extra/
34
WikiMed… See the full description on the dataset page: https://huggingface.co/datasets/arshimam/alexandria-system.ArSAS_An_Arabic_Speech-Act_and_Sentiment_Corpus_of_Tweets
ArSAS: An Arabic Speech-Act and Sentiment Corpus of Tweets
Dataset Card for "ArSAS: An Arabic Speech-Act and Sentiment Corpus of Tweets"
Note About Sentiment_label_confidence
"Crowdflower provides a confidence score with each annotated tweet that represents the confidence in the quality of the label. For a three annotators per tweet setup, the confidence score would range between 0.3 and 1 according to two factors: 1) annotator quality level; and 2) agreement… See the full description on the dataset page: https://huggingface.co/datasets/Qanadil/ArSAS_An_Arabic_Speech-Act_and_Sentiment_Corpus_of_Tweets.toxicity_classification_jigsaw
Dataset info
Training Dataset:
You are provided with a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are:
toxic
severe_toxic
obscene
threat
insult
identity_hate
The original dataset can be found here: jigsaw_toxic_classification
Our training dataset is a sampled version from the original dataset, containing equal number of samples for both clean and toxic classes.
Dataset creation:… See the full description on the dataset page: https://huggingface.co/datasets/Arsive/toxicity_classification_jigsaw.ars-magna-greatest-hits
Ars Magna Greatest Hits
The funniest and most apt anagrams of people, companies, products, titles, places and phrases, found by Ars Magna and kept by hand.
Every row is a real anagram: the words use exactly the input's letters, checked against a pinned revision of English OpenList (368bf0e4460461c985fca8bde49e4062d56c1516), and every word is in the tier the row names. Accented letters fold to their base letter, so Beyoncé has three e's. Nothing typed is ever replaced by… See the full description on the dataset page: https://huggingface.co/datasets/ryanjosephkamp/ars-magna-greatest-hits.ArSASTranslation-Dataset-Large
Translation-Dataset_Large 🌍
A massive, unified multilingual parallel corpus for Persian, English, and Arabic NMT research.
Translation-Dataset_Large aggregates and normalizes millions of sentence pairs across three language directions — English↔Persian (en-fa), Arabic↔English (ar-en), and Arabic↔Persian (ar-fa) — into a single, deduplicated, research-ready .parquet dataset.
Dataset Summary
Property
Value
Languages
Persian (fa), English (en), Arabic… See the full description on the dataset page: https://huggingface.co/datasets/Arshia82sbn/Translation-Dataset-Large.ArSAS
Dataset Card for "ArSAS"
More Information needed
POWDER_CoChannel_Protocol_Dataset
POWDER Co-Channel Protocol (PCP) Dataset
768 real-world over-the-air (OTA) IQ captures for multi-label RF fingerprinting under co-channel interference, with heterogeneous waveforms (802.11a Wi‑Fi, 4G LTE, and 5G NR) collected on the POWDER PAWR testbed at the University of Utah by the CREDIT Center, Prairie View A&M University.
Each capture records the superposition of up to six simultaneously transmitting USRP radios on a shared 20 MHz channel at 2.425 GHz. Every .bin IQ file… See the full description on the dataset page: https://huggingface.co/datasets/T-Arshad/POWDER_CoChannel_Protocol_Dataset.omni-dreams-samples
AlpaDreams Samples
Curated single-view driving sequences for evaluating the
nvidia/alpadreams-dit world model.
Layout
data/
└── single_view/
├── <clip-id>/
| ├── <clip-id_...>.mp4 # ground truth video
│ ├── <clip-id_..._hdmap>.mp4 # HD-map rasterized conditioning video
│ ├── first_frame.png # RGB first frame, extracted from ground truth video
│ └── prompt.txt # text prompt
└──… See the full description on the dataset page: https://huggingface.co/datasets/Arsh9210/omni-dreams-samples.Open-SWE-Traces
Open-SWE-Traces: Advancing Distillation for Software Engineering Agents
Data Overview
Open-SWE-Traces is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 200k+ agent
trajectories collected using the SWE-agent and OpenHands framework. The trajectories
were synthesized using Minimax-M2.5 (with thinking) and Qwen3.5-122B-A10B
(without thinking) and specifically curated for supervised… See the full description on the dataset page: https://huggingface.co/datasets/Arsh9210/Open-SWE-Traces.SWE-Zero-openhands-trajectories
SWE-Zero Trajectories: Execution-free Fine-tuning for Software Engineering Agents
Data Overview
SWE-ZERO Trajectories is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 318k agent
trajectories collected using the OpenHands framework. The trajectories
were synthesized using Qwen3-Coder-480B-A35B-Instruct, specifically curated for supervised fine-tuning (SFT),
aiming to improve… See the full description on the dataset page: https://huggingface.co/datasets/Arsh9210/SWE-Zero-openhands-trajectories.ar-sa-tts-speakers-synthetic
Deprecated -- consolidated
This repo's data files stay in place, but the rows now live as named config(s) on the single Salesteq synthetic-speech dataset:
speakers-v1 on Salesteq/ar-sa-tts-corpus-synthetic
Load from there rather than this repo going forward.
ar-sa-tts-speakers — multi-speaker Najdi Arabic TTS (synthetic)
Ten single-speaker synthetic Najdi Arabic TTS sets unified into one dataset, distinguished by the speaker column. 91,350 clips across 10… See the full description on the dataset page: https://huggingface.co/datasets/Salesteq/ar-sa-tts-speakers-synthetic.kl3m-data-dotgov-www.ars.usda.gov
KL3M Data Project
Note: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the GitHub repository or refer to the KL3M Data Project paper.
Description
This dataset is part of the ALEA Institute's KL3M Data Project, which provides copyright-clean training resources for large language models.
Dataset Details
Format: Parquet… See the full description on the dataset page: https://huggingface.co/datasets/alea-institute/kl3m-data-dotgov-www.ars.usda.gov.autotrain-data-javascript-traing-1
AutoTrain Dataset for project: javascript-traing-1
Dataset Description
This dataset has been automatically processed by AutoTrain for project javascript-traing-1.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"target": "test/NavbarSpec.js",
"feat_repo_name": "aabenoja/react-bootstrap",
"text": "import React from 'react';\nimport… See the full description on the dataset page: https://huggingface.co/datasets/ars-1/autotrain-data-javascript-traing-1.Privasis-Zero
Privasis-Zero
Dataset Description:
Privasis-Zero is a large-scale synthetic dataset consisting of diverse text records—such as medical and financial records, legal documents, emails, and messages—containing rich, privacy-sensitive information. Each record includes synthetic profile details, surrounding social context, and annotations of privacy-related content. All data are fully generated using LLMs, supplemented with first names sourced from the U.S. Social… See the full description on the dataset page: https://huggingface.co/datasets/Arsh9210/Privasis-Zero.bd-arsa-road-safety-visual-audit
BD-ARSA: Road Safety Visual Audit Dataset
A multi-task vision-language dataset for visual road-safety auditing in Bangladesh,
following the LGED (Local Government Engineering Department) audit methodology. Each record
pairs a road image with a structured safety audit. All 12 LGED hazard categories were
assessed visually in the field by the expert auditors and all 12 appear in the schema and
in evaluation. For two of them — skid_resistance (surface friction) and drainage… See the full description on the dataset page: https://huggingface.co/datasets/Thamed-Chowdhury/bd-arsa-road-safety-visual-audit.ArSarcasm_v2SWE-Hero-openhands-trajectories
SWE-Hero Trajectories: Execution-based Fine-tuning for Software Engineering Agents
Data Overview
SWE-Hero Trajectories is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 34k agent
trajectories collected using the OpenHands framework. The trajectories
were synthesized using Qwen3-Coder-480B-A35B-Instruct, specifically curated for supervised fine-tuning (SFT),
aiming to improve… See the full description on the dataset page: https://huggingface.co/datasets/Arsh9210/SWE-Hero-openhands-trajectories.arshape
ArShape — when does the standard Arabic rendering recipe break Arabic?
Author: Syamjith NK
Write-up: The Arabic fix everyone recommends is now the thing breaking your Arabic
Companion dataset: ArNum-TTS — the same failure mode in speech.
The finding
arabic_reshaper + python-bidi before drawing is the standard advice for rendering
Arabic in Python. On any renderer that already performs complex-text layout it
corrupts the output, because the shaping and the bidi… See the full description on the dataset page: https://huggingface.co/datasets/syamjithnk/arshape.circle-packing-insight-loop
Circle-Packing Insight-Exploration Loop
Artifacts from an iterative GPT solver <-> proposer insight-exploration loop on the
21-circles-in-a-perimeter-4-rectangle packing problem (AlphaEvolve SOTA sum-of-radii
= 2.3658321334167627). Each round, 16 solvers propose a program + written explanation;
every program is scored; a proposer then mines all 16 attempts into an evolving insight
document that conditions the next round. Run: 16 solvers x 8 rounds.
Subsets… See the full description on the dataset page: https://huggingface.co/datasets/ars22/circle-packing-insight-loop.Combined_ROO_Liquidity_Dataset
Dataset Card for Dataset Name
This dataset is designed for text summarization tasks, specifically focusing on financial and liquidity data. It combines structured text from different segments of financial reports, allowing for both automatic and human evaluation in text summarization tasks.
Dataset Details
This dataset was built using the dataset presented in the research paper "Long Text and Multi-Table Summarization: Dataset and Method". The dataset consists of… See the full description on the dataset page: https://huggingface.co/datasets/ARSynopsis/Combined_ROO_Liquidity_Dataset.context-ucurve-coding-agents
Context U-curve: 36 coding-agent runs under six context-clearing policies
How often should an LLM coding agent's context be cleared? This dataset holds every run behind the report
"Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents"
(Evgenii Arsentev, 2026; corrected version 1.2, DOI 10.5281/zenodo.22759217; version 1.0: DOI 10.5281/zenodo.22699668).
A fixed suite of twelve programming tasks was run under six session-length policies — a fresh… See the full description on the dataset page: https://huggingface.co/datasets/arsentev-ai/context-ucurve-coding-agents.ars-magna-vocabulary
Ars Magna Vocabulary
The exact vocabulary Ars Magna judges words against, so that its
claim to find every anagram of your letters can be checked rather than taken on trust.
It is three things: English OpenList at one pinned revision, a short, public list of
the site's own additions, and a short list of the site's listed forms, the contractions
whose letters the search knows. Nothing else. A word the site accepts is in one of them. Beside
the words are the term classes: the short… See the full description on the dataset page: https://huggingface.co/datasets/ryanjosephkamp/ars-magna-vocabulary.ArSyTa
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
This is ArSyTa dataset introduced in the paper "SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation" presented in ACL 2024.
It contains 5 files namely train_data.json, val_data.json, test_data.json, papers.json and contexts.json
The… See the full description on the dataset page: https://huggingface.co/datasets/goyalkaraniit/ArSyTa.