datasetId stringlengths 6 123 | predicted_domain stringclasses 10
values | confidence float64 0.14 1 | top2_label stringclasses 10
values | top2_score float64 0 0.5 | tag_domain stringclasses 9
values | existing_tags listlengths 0 190 | card_preview stringlengths 0 500 | card_length int64 0 25.3M | downloads int64 0 2.75M | category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
OALL/details_Qwen__Qwen2.5-14B_v2_alrage | none | 0.8337 | code | 0.1384 | null | [] | # Dataset Card for Evaluation run of Qwen/Qwen2.5-14B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B).
The dataset is composed of 1 configuration, each one coresponding to one of the evaluate... | 5,554 | 13 | normal |
Coil1987121/calvin_lerobot | none | 0.9218 | code | 0.0647 | null | [
"calvin",
"franka",
"manipulation",
"language-conditioned"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** mit
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"robot_t... | 3,701 | 86 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_nl2bash-nl2bash-bugsseq_Qc8b73f89 | none | 0.3722 | biology | 0.2886 | null | [] | 0 | 6 | normal | |
AIxBlock/Eng-Filipino-Accented-audio-with-human-transcription-call-center-topic | none | 0.9829 | finance | 0.0071 | null | [] | This dataset contains 103+ hours of spontaneous English conversations spoken in a Filipino accent, recorded in a studio environment to ensure crystal-clear audio quality. The conversations are designed as role-play scenarios between agents and customers across a variety of call center domains.
🗣️ Speech Style: Natura... | 1,326 | 19 | normal |
julia-se/tracka_mistral_multilabel | none | 0.5103 | climate | 0.1382 | null | [] | 0 | 5 | normal | |
pedrodev2026/pedro-open-dataset-1k | none | 0.8593 | biology | 0.0584 | code | [
"pedro-open-dataset",
"code-dataset",
"code",
"python",
"python-code",
"code-python",
"dataset-code"
] | 0 | 17 | tag_disagree | |
cacss/Embedding_Desciption | none | 0.3841 | code | 0.1569 | null | [] | 0 | 4 | normal | |
yirenc/guidelines1K | none | 0.5365 | code | 0.1025 | null | [] | 0 | 3 | normal | |
interstellarninja/json-mode-singleturn | none | 0.3842 | code | 0.3003 | null | [] | 0 | 40 | normal | |
open-llm-leaderboard-old/details_ABX-AI__Quantum-Citrus-9B | none | 0.963 | code | 0.0223 | null | [] | # Dataset Card for Evaluation run of ABX-AI/Quantum-Citrus-9B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ABX-AI/Quantum-Citrus-9B](https://huggingface.co/ABX-AI/Quantum-Citrus-9B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggin... | 19,290 | 16 | normal |
TranTuy6055/dataset_1329 | none | 0.3795 | biology | 0.1601 | null | [] | 0 | 5 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_cb871819-c16c-4a7d-bec3-ad61714c84bf | none | 0.637 | code | 0.0936 | null | [] | 0 | 35 | normal | |
lihaoxin2020/poem-gpqa-knowledge | none | 0.5651 | climate | 0.1399 | null | [] | 0 | 88 | normal | |
tomyoon2/VT_mini1_original_only_train | none | 0.5675 | code | 0.1288 | null | [] | 0 | 6 | normal | |
TAUR-dev/9_8_25__acronym_4o__sft_data_mp_reflection_ckpt_chunk_9 | none | 0.642 | chemistry | 0.1497 | null | [] | 0 | 5 | normal | |
french-open-data/territoire-de-la-metropole-de-lyon | none | 0.6722 | cybersecurity | 0.1883 | null | [
"dataset_for_agent"
] | # Territoire de la Métropole de Lyon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Territoire de la Métropole de Lyon** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/597703e888ee3825700c8747
## Description
Objet surfacique représen... | 437 | 8 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_b82b62e6-2a6b-4c16-b141-7523cb46a5f0 | none | 0.7455 | code | 0.0802 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/opencodereasoning_100k | none | 0.5804 | code | 0.1397 | null | [] | 0 | 5 | normal | |
datasets-CNRS/thesaurus-ecotoxicologie | biology | 0.9092 | cybersecurity | 0.0322 | null | [] | > [!NOTE]
> Dataset origin: https://www.ortolang.fr/market/terminologies/thesaurus-ecotoxicologie
## Description
Ce thésaurus bilingue, français-anglais, structure les concepts-clefs de l’écotoxicologie, étude de l’impact des polluants sur les écosystèmes, accompagnés de synonymes interrogeables. Le domaine de l... | 1,067 | 8 | new_discovery |
timaeus/uspto_backgrounds_max_loss_delta_ablation_l0h1 | none | 0.8552 | code | 0.0321 | null | [] | 0 | 2 | normal | |
innovationm-ai/dailytalk-male | none | 0.9596 | medical | 0.0192 | null | [
"datasets",
"Audio",
"Text",
"TTS",
"dailytalk",
"speech"
] | ## Dataset Summary
This dataset is a **gender-specific subset** of the original **DailyTalk TTS** dataset.
It contains English conversational speech paired with text transcripts, filtered and separated by speaker gender.
This version includes:
- **Two columns**:
- `text`: transcription
- `audio`: 24 kHz spe... | 2,782 | 27 | normal |
abdulsamada/qa_dataset | none | 0.6218 | code | 0.112 | null | [] | 0 | 3 | normal | |
azamjonalijonov/uzbekvoice | none | 0.7876 | medical | 0.0532 | null | [] | This is original raw version of Uzbekvoice dataset.
Nothing is filtered, no changes are made
This dataset does not contain original Mozilla Common Voice audios or texts | 170 | 29 | normal |
PhilipMay/stsb_multi_mt | none | 0.9852 | legal | 0.0095 | null | [
"sentence-transformers"
] | # Dataset Card for STSb Multi MT
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instance... | 5,617 | 5,228 | normal |
Mubarak127/rev16 | none | 0.9077 | code | 0.0312 | null | [] | # REV16 full/test 1 samples (NPZ)
Source dataset:
- `distil-whisper/rev16` (config: `full`, split: `test`)
Contains:
- `data/rev16_test_full_30_sr16000.npz`
NPZ keys:
- `audio`: object array of float32 waveforms (variable length)
- `text`: transcripts (string)
- `sampling_rate`: int32 sampling rate per sample
- `len... | 439 | 7 | normal |
AndresR2909/youtube_transcriptions_train_dataset_2025_gpt4.1 | none | 0.7942 | code | 0.0579 | null | [] | 0 | 5 | normal | |
shuohsuan/grasp_data_020_029 | none | 0.9233 | code | 0.0722 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,574 | 4 | normal |
smcleod/golang-ollamaapi-charm | code | 0.9975 | none | 0.0015 | null | [
"golang",
"go",
"ollama",
"coding",
"style",
"charmbracelet"
] | Attempting to create a dataset with [AugmentToolkit](https://github.com/e-p-armstrong/augmentoolkit).
I'm new to datasets and textgen training and this is my first attempt at creating a dataset. I'm not sure if this will end up being useful or not so YMMV.
Created from:
- Uber's Golang Style Guide
- Ollama's Golang ... | 586 | 12 | new_discovery |
ContextualAI/msmarco | none | 0.9673 | chemistry | 0.0107 | null | [] | This dataset is a reranking-formatted version of the MS MARCO dataset from the BEIR benchmark.
Original Dataset: MS MARCO from Microsoft Research
BEIR Version: BeIR/msmarco
License: Available for research and commercial use
Task: Passage ranking for question answering | 276 | 12 | normal |
dangdangde/Hate.3_labels_labeled | none | 0.5112 | chemistry | 0.1529 | null | [] | 0 | 5 | normal | |
electricsheepafrica/nigerian_realestate_mortgage_disbursements | finance | 0.9804 | none | 0.0104 | null | [
"nigeria",
"real-estate",
"property",
"housing",
"mortgages-and-financing"
] | # Nigeria Real Estate – Mortgage Disbursements
## Dataset Description
Synthetic Mortgages & Financing data for Nigeria real estate sector.
**Category**: Mortgages & Financing
**Rows**: 70,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from PropertyPro, Knight... | 4,259 | 27 | new_discovery |
neoneye/simon-arc-shape-v4-rev3 | none | 0.8582 | code | 0.1037 | null | [] | # Version 1
Detect `shape2x2` and `shape3x3_center`.
The image sizes are between 1 and 30 pixels.
# Version 2
Detect `shape2x2` and `shape3x3_center` and `shape3x3_opposite`.
The image sizes are between 1 and 30 pixels.
# Version 3
Focus on counting the unique number of colors. `corners` and `diamond4`.
The image ... | 569 | 4 | normal |
Mannyboyy/qasper-sft-v1 | none | 0.5902 | chemistry | 0.0879 | null | [] | 0 | 4 | normal | |
maius/wildchat-english-2500chars | none | 0.896 | code | 0.0393 | null | [] | 0 | 5 | normal | |
raul-ochoa/pick-and-place_2cams_6_11_2025 | none | 0.9516 | code | 0.0423 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # pick-and-place_2cams_6_11_2025
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 318 | 5 | normal |
DCAgent/DCAgent_dev_set_71_tasks_mlfoundations-dev_all-puzzles-sandboxes-traces-terminus8aa8d3d8 | none | 0.7249 | code | 0.2599 | null | [] | 0 | 10 | normal | |
DCAgent2/dcagent2-terminal-bench-2-dcagent2-nl2bash-verified-glm-4-6-traces-32ep-32k-ab-74471842 | code | 0.9756 | none | 0.0179 | null | [] | 0 | 8 | new_discovery | |
weeenwang/eval_260210_stacking | none | 0.907 | code | 0.0884 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,576 | 16 | normal |
tttx/3k_forcing_1500_mask15_step1_022225 | none | 0.8141 | code | 0.069 | null | [] | 0 | 6 | normal | |
justChills/room-visual-dataset-2 | none | 0.5349 | climate | 0.2029 | null | [] | 0 | 4 | normal | |
argilla-warehouse/smollm-v2-proofread-list-errors | code | 0.3673 | none | 0.3316 | null | [] | 0 | 5 | boundary | |
open-vdb/lastfm-64-dot | none | 0.958 | code | 0.0366 | null | [] | # Dataset Overview
dataset: lastfm-64-dot
## Metadata
- **Creation Time**: 2025-01-06 11:09:48+0000
- **Update Time**: 2025-01-07 11:48:10+0000
- **Source**: https://github.com/erikbern/ann-benchmarks
- **Task**: N/A
- **Train Samples**: N/A
- **Test Samples**: N/A
- **License**: DISCLAIMER AND LICENSE NOTICE:
1. T... | 1,860 | 5 | normal |
DCAgent2/DCAgent2_bfcl-parity_DCAgent_hr1_wikitable-format-conversion_nl2bash-bugsseq_Qwddf01b2b | chemistry | 0.5431 | biology | 0.3201 | null | [] | 0 | 16 | normal | |
zjhhhh/iter2_fullcheck_multi_scores_adversary_30 | none | 0.7224 | code | 0.1328 | null | [] | 0 | 5 | normal | |
sidea/arena_baseline_zgemini_yoss_geminijudge_novel | none | 0.8486 | code | 0.0761 | null | [] | 0 | 4 | normal | |
davidhhmack/aesthete_prompt_guess_number | none | 0.5787 | code | 0.0964 | null | [] | 0 | 3 | normal | |
Seerkfang/LongMagpie_multidoc_longcontext_dataset | none | 0.5364 | code | 0.1225 | null | [] | 0 | 35 | normal | |
ylacombe/music_genres_Soul-RnB | none | 0.4633 | code | 0.2286 | null | [] | 0 | 3 | normal | |
SPEAK-PP/openslr-sinhala-spelling-correction-prediction-reference-60000 | none | 0.9645 | code | 0.0084 | null | [
"spelling-correction",
"sinhala",
"asr",
"openslr",
"text2text-generation"
] | # OpenSLR Sinhala Spelling Correction – Prediction / Reference
This dataset contains Sinhala sentence pairs intended for training and evaluating
spelling-correction models on ASR output.
| Column | Description |
|---------------------|-------------------------... | 1,088 | 49 | normal |
DCAgent/llm-verifier-clean-sandboxes-eval-set_glm_4.6_traces | none | 0.7197 | code | 0.1442 | null | [] | 0 | 11 | normal | |
Azure99/blossom-v6.3-sft-stage2 | code | 0.7111 | none | 0.1872 | null | [] | # BLOSSOM V6.3 SFT STAGE2
### Introduction
BLOSSOM V6.3 SFT Stage2 is a high-quality, diverse large language model fine-tuning dataset designed for the second-stage SFT training of the Blossom V6.3 model. Its purpose is to further enhance the model's ability to handle complex instructions on more rare real-world pro... | 2,879 | 19 | normal |
rubricreward/arena-human-preference-tgt_prompt_en_thinking-filtered_correct | none | 0.9471 | legal | 0.0233 | null | [] | 0 | 4 | normal | |
test-gen/mbpp_sft-qwen3-0.6B_t0.0_n1_generated_tests | code | 0.5337 | none | 0.3543 | null | [] | 0 | 4 | normal | |
kohdified/synthetic-financial-data | finance | 0.9978 | none | 0.0015 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Extracted from Kaggle: https://www.kaggle.com/datasets/ealaxi/paysim1?resource=download
Purpose is to have synthetic data on here for testing. | 226 | 13 | new_discovery |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl2e34d7dcb | none | 0.6365 | code | 0.2225 | null | [] | 0 | 7 | normal | |
DrainpipeAI/RedSpiceV41 | none | 0.8942 | code | 0.0999 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,171 | 7 | normal |
brickerino/blue-cube-5 | none | 0.904 | code | 0.0906 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,580 | 21 | normal |
MisDrifter/920_zjhhhh__qwen2.5_3B_Instruct_fixed_1_step_312_final | none | 0.6098 | code | 0.2569 | null | [] | 0 | 6 | normal | |
ZHIYII/TACO_BT_Qwen32B_3900810_4550945 | none | 0.3323 | biology | 0.2346 | null | [] | 0 | 3 | normal | |
neelabh17/new_news_exploded_prompt_n_75_d_perc_80_num_gen_10_Qwen2.5-7B-Instruct_dist_mcq | none | 0.9765 | code | 0.0174 | null | [] | 0 | 5 | normal | |
Lakshan2003/Gemma-3-4B-customerservice-Human-evaluator_3_data | none | 0.7969 | code | 0.0709 | null | [] | 0 | 3 | normal | |
eekay/Llama-3.2-1B-Instruct-dolphin-numbers-scrambled | none | 0.7589 | code | 0.1458 | null | [] | 0 | 4 | normal | |
supergoose/flan_combined_task037_qasc_generate_related_fact | none | 0.77 | chemistry | 0.0872 | null | [] | 0 | 4 | normal | |
jaeyong2/vi_sample_sft_data | none | 0.4917 | climate | 0.2134 | null | [] | 0 | 3 | normal | |
harangstar/llama-dataset | none | 0.796 | climate | 0.0466 | null | [] | 0 | 4 | normal | |
LovrOP/TrainValDataset1 | none | 0.3129 | biology | 0.1903 | null | [] | 0 | 3 | normal | |
notadib/NASA-Power-Daily-Weather | climate | 0.996 | biology | 0.0026 | null | [] | # NASA Power Weather Data over North, Central, and South America from 1984 to 2022
<!-- Provide a quick summary of the dataset. -->
This dataset contains daily solar and meteorological data downloaded from the [NASA Power API](https://power.larc.nasa.gov/)
## Overview
The dataset includes solar and meteorological ... | 10,463 | 517 | new_discovery |
zjhhhh/game_stage3_train_beta_0.1_zjhhhh__qwen2.5_3B_Instruct_multi_stage3_seed_555134_beta_0.1_step_1 | none | 0.9519 | code | 0.039 | null | [] | 0 | 3 | normal | |
doof-ferb/Vietnam-Celeb | none | 0.9598 | code | 0.0229 | null | [] | # unofficial mirror of Vietnam-Celeb dataset
official announcement:
- https://www.isca-archive.org/interspeech_2023/pham23b_interspeech.html
- https://github.com/Vietnam-Celeb/Vietnam-Celeb
- https://huggingface.co/datasets/hustep-lab/Vietnam-Celeb
official download:
- Part 0: https://drive.google.com/file/d/1pMuT3DF... | 1,462 | 63 | normal |
datacomp/ImageNetTraining50.0-frac-1over8 | none | 0.583 | code | 0.3381 | null | [] | Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | 96 | 14 | normal |
hugosousa/QTimelines | none | 0.3436 | climate | 0.1562 | null | [] | 0 | 5 | normal | |
bouncingsim/bouncingsim-ROTOBJ_GRAVITY-basic | none | 0.5491 | code | 0.1968 | null | [] | 0 | 31 | normal | |
okhater/lolv2-real | none | 0.662 | code | 0.12 | null | [] | # LOL v2 Dataset
## Overview
The LOL v2 dataset contains **689 training images** and **100 testing images** for low-light image enhancement tasks. This extended version of the original LOL dataset presents more challenging scenes, providing a robust benchmark for the development and evaluation of low-light enhancement... | 1,144 | 3,180 | normal |
hyzhang01/GCA_a01_parallel_v21 | none | 0.9063 | code | 0.089 | null | [
"robotics",
"panda",
"grasping"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,478 | 91 | normal |
jherng/wlasl_reduced | none | 0.8774 | code | 0.0654 | null | [] | # Reduced WLASL Dataset
This dataset is a task-specific reduced version of the WLASL dataset,
constructed for American Sign Language (ASL) recognition experiments.
## Contents
- `videos/`
Video clips organized by gloss label.
- `metadata.csv`
Per-sample metadata including:
- file path
- glo... | 1,550 | 11 | normal |
marco-schouten/exp4 | none | 0.4723 | chemistry | 0.158 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_1192_jxcai-scale-hle-public-questions-readymade | none | 0.9874 | code | 0.0117 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1192_jxcai-scale-hle-public-questions-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[jxcai-scale/hle-public-questions](https://huggingface.co/datasets/jxcai-scale/hle-public-questions)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects ... | 978 | 154 | normal |
fionela/fionela-dataset-5992 | none | 0.9765 | code | 0.0145 | null | [] | # fionela-dataset-5992
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 262
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/databricks/databricks-dolly-15k
## Notes
- Subset only (no... | 363 | 7 | normal |
anumafzal94/dialogsum_10k_finetuning | none | 0.5547 | chemistry | 0.1161 | null | [] | 0 | 5 | normal | |
ankile/nutsquare-paired-auto-v2-r4 | none | 0.9595 | code | 0.0254 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 5,873 | 12 | normal |
akahana/wikipedia-id-conv | none | 0.5548 | code | 0.113 | null | [] | 0 | 15 | normal | |
mchl914/panacea_textbooks | none | 0.446 | chemistry | 0.1567 | null | [] | 0 | 6 | normal | |
french-open-data/pensions-et-secours-aux-combattants-et-victimes-des-revolutions-de-1789-1830-et-1848 | cybersecurity | 0.916 | none | 0.0757 | null | [
"19e-siecle",
"archives",
"culture",
"femme",
"histoire",
"individu",
"ministeredelaculture",
"revolution",
"dataset_for_agent"
] | # Pensions et secours aux combattants et victimes des révolutions de 1789, 1830 et 1848
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Pensions et secours aux combattants et victimes des révolutions de 1789, 1830 et 1848** qui est disponible à l'adresse... | 2,200 | 10 | new_discovery |
FINNUMBER/FINCH_TRAIN_NQA_COM_400 | none | 0.3369 | finance | 0.1704 | null | [] | 0 | 3 | normal | |
thucdangvan020999/singlish-speaker2202 | none | 0.7697 | code | 0.0514 | null | [] | 0 | 7 | normal | |
code-search-net/code_search_net | code | 0.9968 | none | 0.0029 | null | [] | # Dataset Card for CodeSearchNet corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-i... | 6,845 | 17,625 | new_discovery |
QCRI/QASR | none | 0.9881 | finance | 0.0029 | null | [
"Arabic",
"English",
"Broadcast",
"Code-switching",
"Punctuation"
] | # QASR: QCRI Aljazeera Speech Resource
**QASR** is the largest transcribed Arabic speech corpus with around **2,000 hours** of data.
It features **multi-layer annotation**, covering **multiple Arabic dialects** and **code-switching** speech.
---
## 📘 Overview
QASR is a large-scale transcribed Arabic speech corpu... | 1,969 | 14 | normal |
esfrankel17/original_Nectar_binarized_Qwen2.5-7B-Instruct_preferences | none | 0.4568 | code | 0.2219 | null | [] | 0 | 4 | normal | |
michsethowusu/bambara-nuer_sentence-pairs | none | 0.9895 | code | 0.0039 | null | [] | # Bambara-Nuer_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source... | 2,815 | 3 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_889f2645-3ce0-43a4-a8f1-96cb48c2a46e | none | 0.6186 | code | 0.1542 | null | [] | 0 | 4 | normal | |
kanishka/babylm2-rewritten-clean_hierarchical-adj_211_size-color_adj1-ablation | none | 0.7984 | biology | 0.1165 | null | [] | 0 | 5 | normal | |
patrickfleith/synthgenai-space-engineering-instruct-1k | none | 0.8356 | climate | 0.0616 | null | [
"space",
"text",
"synthgenai"
] | ## Description
- Topic: Space Mission Engineering
- Domains: Missions Operations, Human Spaceflight, Space Environment, Space Propulsion Systems, Qualification and Acceptance, Ground Segment, Planetary Science and Exploration, Structures, Entry, Descent and Landing, Mechanisms, Materials, System Dependability (RAMS), ... | 1,020 | 15 | normal |
melon1891/merged-agent-sft-dataset-20260227 | none | 0.6156 | biology | 0.0977 | null | [] | 0 | 24 | normal | |
gcc-insurance-intelligence-lab-staging/gcc-insurance-llm-evals | code | 0.6019 | none | 0.1359 | null | [] | 0 | 11 | normal | |
sudosimi/smol_toaster_1 | none | 0.9083 | code | 0.0772 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,667 | 5 | normal |
zjhhhh/iter2_fullcheck_multi_scores_adversary_38 | none | 0.7049 | code | 0.141 | null | [] | 0 | 4 | normal | |
FrankYuzhe/eval_act_andy_tube | none | 0.8984 | code | 0.0955 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,153 | 6 | normal |
french-open-data/concentrations-horaires-de-polluants-dans-l-air-ambiant-issues-du-reseau-permanent-de-mesures-au | cybersecurity | 0.37 | none | 0.3695 | null | [
"air",
"concentration-de-polluant",
"horaire",
"mesure",
"pollution",
"dataset_for_agent"
] | # Concentrations horaires de polluants dans l'air ambiant issues du réseau permanent de mesures automatiques en région Île-de-France
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Concentrations horaires de polluants dans l'air ambiant issues du réseau ... | 953 | 12 | boundary |
Bourgogne380/sae-roneneldan-TinyStories-tokenizer-gpt2 | none | 0.6571 | code | 0.2138 | null | [] | 0 | 5 | normal | |
Luongdzung/2840_literature_exams_dataset_seed_50 | none | 0.6324 | code | 0.0846 | null | [] | 0 | 5 | normal |
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