datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xP3x_african_subset
Dataset Card for xP3x
This version of xP3x includes only African Languages + Arabic, English, French, & Portuguese.
See Cohere/xP3x for full information on the dataset and its license.
everyayah﷽
Dataset Card for Tarteel AI's EveryAyah Dataset
Dataset Summary
This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
The audio is in Arabic.
Dataset Structure
Data Instances
A typical data point comprises the audio file audio, and its transcription called text.
The duration… See the full description on the dataset page: https://huggingface.co/datasets/tarteel-ai/everyayah.Literature-zhA composite of Chinese books, papers, legal documents, and patents from common crawl.
Data cleaning
Text with more than 2% of non-Latin, non-Chinese characters are removed.
Text with large portions of special characters are removed.
Traditional Chinese is converted to simplified Chinese.
Model filtering
Qwen2.5-32B-Instruct is used to generate language quality annotation (on a scale of 1-5) for 398K Chinese samples and 250K English samples. An XLM-RoBERT-large classifier is trained with… See the full description on the dataset page: https://huggingface.co/datasets/Geralt-Targaryen/Literature-zh.EA-DICALVIN_ABC_tarkinetics-400-targztartanaviation-atc-adsb-utterances
TartanAviation ATC + ADS-B (Utterances)
Speech utterances split from twangodev/tartanaviation-atc-adsb
by voice-activity detection (pyannote/segmentation-3.0).
Each row is one speech segment (16 kHz mono) with the ADS-B from its parent clip.
531,050 utterances · ~398 h speech · 16 kHz mono · 67% carry ADS-B. From 40,899 of 41,823 clips
(silent clips have no utterances). Built with squawk.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/twangodev/tartanaviation-atc-adsb-utterances.bdnew_tar_s2d0tartanaviation-atc-adsb
TartanAviation ATC + ADS-B
Paired ATC audio and ADS-B for Pittsburgh KAGC and KBTP, aligned from CMU
TartanAviation. Each row is one ADS-B-triggered
audio capture (16 kHz mono) plus the aircraft tracks present during it.
41,823 clips · 16 kHz mono · 67% carry ADS-B. Built with squawk.
Usage
from datasets import load_dataset
ds = load_dataset("twangodev/tartanaviation-atc-adsb", split="train", streaming=True)
ex = next(iter(ds))
ex["audio"] # {'array': ...… See the full description on the dataset page: https://huggingface.co/datasets/twangodev/tartanaviation-atc-adsb.airport-security-detectionLiberotarteel-ai-everyayah-Quran﷽
Dataset Card for Tarteel AI's EveryAyah Dataset
Dataset Summary
This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters.
How to download
!pip install -q datasets
from datasets import load_dataset
dataset =load_dataset("Salama1429/tarteel-ai-everyayah-Quran", verification_mode="no_checks")
Supported Tasks and Leaderboards
[Needs More Information]
Languages
The audio is in… See the full description on the dataset page: https://huggingface.co/datasets/Salama1429/tarteel-ai-everyayah-Quran.tartanair-episodes-v3-parquet
tartanair-episodes-v3-parquet
Per-frame Parquet dataset for ReCAST tracker training.
Schema
One row per frame, grouped by episode_id. Arrow memory-mapped access
enables reading specific frames without loading entire episodes.
Column
Type
Description
episode_id
int32
Episode identifier
frame_idx
int32
Frame index within episode
jpeg
binary
JPEG-encoded RGB frame
depth
list<float32>
Flat H×W depth map
seg
list<uint16>
Semantic segmentation (empty if… See the full description on the dataset page: https://huggingface.co/datasets/OSResight/tartanair-episodes-v3-parquet.tlogTLOG is a dataset consisting of audio recitations of Quranic Ayahs and their corresponding Quranic texts.
Features
Each data point of this dataset consists of the following features:
audio: audio recitation of a specific Ayah in the Quran
for a clean data point:
array: the audio signal in array form
sample_rate: the sample rate of the audio signal
path: the file name, which, for a clean data point, should correspond to the verse that’s being recited:
The format is:… See the full description on the dataset page: https://huggingface.co/datasets/tarteel-ai/tlog.taruploadm8-promo-targeting-v1
UploadM8 promo targeting dataset
Training/evaluation rows exported from UploadM8 (ml_outcome_labels, campaign telemetry).
Populated by admin scripts and optional UM8_HF_SYNC_VISUAL_ENTITIES uploads.
guiowl-aw-mix-targeted
GUI-Owl AndroidWorld SFT Mix — TARGETED / in-domain
Purpose: AndroidWorld (116-task) SFT for a GUI-Owl-1.5-2B block-diffusion VLA.
This dataset is an action-balanced, source-mixed SFT corpus assembled from five Android
GUI-agent trajectory sources. It is built for in-domain supervised fine-tuning ahead of RL.
The mix deliberately includes AndroidWorld task-family coverage (via the openmobile anchor,
whose app field holds AW task-family names) and accepts in-domain overlap by… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-aw-mix-targeted.target-stopwords
target-stopwords
Per-language function-word lists, induced from that language's own Bible text — frequency +
dispersion (the classic corpus-linguistics stopword-induction recipe), then RESCUED against the
language's own alignment output + a source-anchored content signal so genuinely frequent CONTENT words
("God", "Lord") are never dropped.
A candidate word is rescued out of the list (judged a real content word, not a function word) only when
all four hold — see the… See the full description on the dataset page: https://huggingface.co/datasets/bcv-commons/target-stopwords.targeting-alignment
Dataset Card
The datasets in this repository correspond to the embeddings used in "Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs".
For each model, source dataset (input prompts) and setting (benign or adversarial), the corresponding dataset contains the base input prompt, the (deterministic) output of the model, the representations of the input at each layer of the model and the corresponding unsafe/safe labels (1 for unsafe, 0 for safe).
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/jcnf/targeting-alignment.EA-UDopenwebtext2A cleaned version of OpenWebText2 by removing non-English, duplicated, copyrighted, and low-quality (too short, too many special characters, etc) samples.
This dataset has also been decontaminated with respect to the following benchmarks based on n-gram overlap:
GLUE (dev set of SST-2, CoLA, QQP, WNLI, RTE, QNLI, MNLI; test set of MPRC)
SIQA, PIQA, QASC, CSQA, HellaSWAG (all dev set)
CONLL 2003
BLIMP
MAIN
BoolQ (dev set)
WinoGrande (dev set)
ANLI (test set)
ARC easy and challenge (test set)… See the full description on the dataset page: https://huggingface.co/datasets/Geralt-Targaryen/openwebtext2.tarteel-ai-EA-DI
Dataset Card for "tarteel-ai-EA-DI"
More Information needed
vlmn_tartandrive100_scand50_coda25_spot100_sub5_full_augmentation_processed_10
Trajectory Ranking Dataset
This dataset contains trajectory ranking results for autonomous navigation scenarios.
Dataset Statistics
Total examples: 39558
Chunks processed: 40
Upload date: 2025-09-13T00:44:30.335177
Features
Image data with terrain analysis
Trajectory rankings and reasoning
Quality and diversity analysis
Terrain and trajectory descriptions
youtube-tiktok-trends-dataset-2025
🎬 YouTube Shorts & TikTok Trends (2025)
Author: Tarek MasryoLicense: CC BY 4.0
A structured snapshot of short-form video activity across YouTube Shorts and TikTok during 2025 (Jan–Aug).Built for content intelligence, analytics dashboards, and ML baselines (classification/regression).
What’s inside
This repository ships:
Two loadable dataset configs (via datasets.load_dataset):
default → ML-ready table (cleaned + modeling-friendly)
raw → raw video-level table (wider… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/youtube-tiktok-trends-dataset-2025.discharge_target
Dataset Card for "discharge_target"
More Information needed
spider-corpusLink to original dataset: https://yale-lily.github.io/spider
Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S. and Zhang, Z., 2018. Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task. arXiv preprint arXiv:1809.08887.
human_behavior_atlas_tar
Human Behavior Atlas (HBA)
Human Behavior Atlas (HBA) is a unified benchmark for multimodal behavioral understanding.It aggregates and standardizes multiple behavioral datasets into a single training and evaluation framework, enabling consistent training and evaluation of foundation models on psychological and social behavior tasks (e.g., emotion, intent, sarcasm, mental health signals, nonverbal behavior).
Dataset on Hugging Face:… See the full description on the dataset page: https://huggingface.co/datasets/HumanBehaviorAtlas/human_behavior_atlas_tar.fetaqa-corpusLink to original dataset: https://github.com/Yale-LILY/FeTaQA
Nan, L., Hsieh, C., Mao, Z., Lin, X.V., Verma, N., Zhang, R., Kryściński, W., Schoelkopf, H., Kong, R., Tang, X. and Mutuma, M., 2022. FeTaQA: Free-form table question answering. Transactions of the Association for Computational Linguistics, 10, pp.35-49.
afri-dict
Afri-Dict
Dataset Summary
afri-dict is a bilingual dictionary dataset for four major African languages: Hausa, Igbo, Swahili, and Yoruba.
Entries include a headword, part-of-speech tag, and definition in English or the target African language.
This dataset can serve as a foundational resource for machine translation systems, language learning tools, spell checkers, cross-lingual search, and other NLP applications for African languages.
Languages… See the full description on the dataset page: https://huggingface.co/datasets/taresco/afri-dict.ta-raw-28B