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 |
|---|---|---|---|---|---|---|---|---|---|---|
william-1111/x_dataset_0110104 | none | 0.8918 | cybersecurity | 0.0562 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,455 | 60 | normal |
AntonXue/mcal-breakhis | none | 0.5257 | code | 0.1943 | null | [] | 0 | 9 | normal | |
njkong/ur5_box_cracker_bimanual_grasp_V1_test2 | none | 0.6401 | code | 0.3184 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 4 | normal |
sjleslie/MGEN_5K_fakeQs_context_len_0__bs020 | none | 0.5402 | code | 0.2829 | null | [] | 0 | 5 | normal | |
kowndinya23/flan2022-4096-8-tasks-gc-200000-instances-logdet | none | 0.9726 | code | 0.0202 | null | [] | # Dataset Card for "flan2022-4096-8-tasks-gc-200000-instances-logdet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 202 | 5 | normal |
attardan/aatest | none | 0.3981 | cybersecurity | 0.1106 | null | [] | 0 | 4 | normal | |
HANTIFARAH/Farah-4ZftCYOT9L4 | none | 0.3409 | biology | 0.2324 | null | [] | 0 | 3 | normal | |
Dongkkka/ffw_bg2_rev4_pick_cable_box_left | none | 0.8994 | code | 0.0947 | null | [
"ffw_bg2_rev4",
"robotis"
] | 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",
"... | 4,714 | 20 | normal |
thavens/Llama-3.1-8B-secalign-dxml | none | 0.6338 | code | 0.257 | null | [] | 0 | 5 | normal | |
serkancan99/turkish-general-reasoning-28k-preprocessed | none | 0.6018 | math | 0.1321 | null | [] | 0 | 3 | normal | |
Menoviar28/menov124 | none | 0.4885 | biology | 0.2177 | biology | [
"biology"
] | 0 | 9 | tag_disagree | |
luca0621/multi_turn_soda | none | 0.4579 | chemistry | 0.212 | null | [] | 0 | 5 | normal | |
Helsinki-NLP/open_subtitles | none | 0.9951 | legal | 0.0022 | null | [] | # Dataset Card for OpenSubtitles
## 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... | 3,605 | 673 | normal |
Blancy/open-rs-with-thinking-trajectory | none | 0.545 | code | 0.2434 | null | [] | 0 | 4 | normal | |
nouhad/multiplication_test_5x11 | none | 0.8605 | math | 0.1052 | null | [] | # Multiplication Dataset - multiplication_test_5x11
This dataset contains multiplication problems for numbers up to 15x15.
## Dataset Format
- `messages`: User question and assistant answer.
- `ground_truth`: Correct multiplication result.
- `dataset`: "multiplication"
## Hugging Face Dataset Link
➡️ [View dataset ... | 401 | 4 | normal |
mayflowergmbh/distilabel-math-preference-dpo-de | math | 0.8496 | none | 0.092 | math | [
"math"
] | German azureml translation of [argilla/distilabel-math-preference-dpo](https://huggingface.co/datasets/argilla/distilabel-math-preference-dpo)
for dpo finetuning. | 162 | 12 | normal |
zjhhhh/iter2_7b_multi_gap_0.17_scores_base_42 | none | 0.822 | climate | 0.0562 | null | [] | 0 | 7 | normal | |
kevin017/bioS_QA_university_tiny | biology | 0.5244 | none | 0.2772 | null | [] | 0 | 4 | normal | |
Clownator/Test | code | 0.4898 | none | 0.3332 | null | [] | This dataset based on https://huggingface.co/datasets/CortexLM/midjourney-v6 dataset, captioned with LLava-1.6 model.
This dataset was released as is. By accessing and using this dataset, you acknowledge and agree that Cortex Foundation and the author of this repo are not responsible for any copyright violations or l... | 382 | 71 | normal |
dgambettaphd/D_llm2_gen3_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.5405 | chemistry | 0.2124 | null | [] | 0 | 5 | normal | |
ys1220/sleep | none | 0.9277 | code | 0.0674 | 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 | 7 | normal |
gonznm/distiset-tv-es | none | 0.9389 | code | 0.0454 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for distiset-tv-es
This dataset has been created wi... | 1,630 | 4 | normal |
Qipei/Task_twoarms_pickup_confmounts2 | none | 0.9106 | code | 0.0812 | null | [
"tutorial"
] | 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",
"... | 4,977 | 4 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_93cbe8ca-5253-4325-866f-7332ce0b0db7 | none | 0.6566 | code | 0.1281 | null | [] | 0 | 3 | normal | |
ArneBinder/dialam2024 | none | 0.7711 | code | 0.2064 | null | [] | # DialAM-2024
This is the training data used in the DialAM-2024 shared task. See http://dialam.arg.tech/ for further information.
## Usage
```python
from datasets import load_dataset
ds = load_dataset("ArneBinder/dialam2024")
# the dataset consists of a single train split
assert set(ds) == {"train"}
# which has 1... | 368 | 4 | normal |
ccls1114/FYP-N_B_V-Task1 | none | 0.3105 | climate | 0.23 | null | [] | 0 | 6 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_learna6ead187 | code | 0.7376 | none | 0.2456 | null | [] | 0 | 9 | normal | |
projectsidewalk/rampnet-dataset | none | 0.8806 | legal | 0.0899 | null | [
"curb-ramp",
"accessibility",
"streetscape"
] | **RampNet** is a two-stage pipeline that addresses the scarcity of curb ramp detection datasets by using government location data to automatically generate over 210,000 annotated Google Street View panoramas. This new dataset is then used to train a state-of-the-art curb ramp detection model that significantly outperfo... | 3,707 | 1,600 | normal |
anakin87/medrag-pubmed-chunk | none | 0.5366 | medical | 0.094 | null | [] | 0 | 50 | normal | |
interstellarninja/hermes_reasoning_tool_use | none | 0.4366 | code | 0.4033 | null | [
"tool-use",
"json-mode",
"reasoning",
"rl"
] | ## TL;DR
**51 004 ShareGPT conversations** that teach LLMs *when*, *how* and **whether** to call tools.
Built with the **Nous Research Atropos** RL stack in [Atropos](https://github.com/NousResearch/atropos) using a custom `MultiTurnToolCallingEnv`, and aligned with **BFCL v3** evaluation scenarios.
Released by **@... | 3,739 | 533 | normal |
ROBOTIS/ffw_bg2_rev4_pick_coffee_bottle_env5_31 | none | 0.8813 | code | 0.1148 | null | [
"ffw_bg2_rev4_custom",
"robotis"
] | 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",
"... | 5,070 | 8 | normal |
TsinghuaNLP/EVIL | legal | 0.9962 | none | 0.0031 | legal | [
"safety",
"legal",
"ethics",
"multilingual"
] | # EVIL Dataset
## Dataset Description
### Dataset Summary
The **EV**aluation using **IL**licit instructions (EVIL) dataset is a benchmark developed across Chinese and US legal contexts to assess large language models’ complicit facilitation behaviors—cases where models enable or support illicit user instructions. It... | 2,177 | 53 | normal |
Self-GRIT/alpaca_random_subsample_eval | none | 0.6106 | climate | 0.1536 | null | [] | 0 | 4 | normal | |
LexiconShiftInnovations/FB_Articles_Dental | none | 0.5117 | code | 0.1719 | null | [] | 0 | 5 | normal | |
mbiarreta/LeedsButterflyDataset | none | 0.3778 | biology | 0.3583 | null | [] | 0 | 4 | normal | |
PLAID-datasets/2D_Multiscale_Hyperelasticity | chemistry | 0.4522 | none | 0.2882 | null | [
"physics learning",
"geometry learning"
] | # Dataset Card
This dataset contains a single huggingface split, named 'all_samples'.
The samples contains a single huggingface feature, named "samp... | 2,464 | 44 | normal |
yn01/20250815_dataset-of-karate_01 | none | 0.7484 | code | 0.0688 | null | [] | 0 | 3 | normal | |
dolores-haze/forum-extracted | none | 0.6649 | code | 0.082 | null | [] | 0 | 24 | normal | |
HuggingFaceM4/lmms-eval-embeddings | none | 0.7788 | code | 0.1472 | null | [] | These are the precomputed embeddings of 66 image-text benchmarks from the lmms-eval framework,
intended for use in the [large-scale-image-deduplication repository](https://github.com/huggingface/large-scale-image-deduplication)
as mentioned in the [FineVision Blogpost](https://huggingface.co/spaces/HuggingFaceM4/Fine... | 468 | 402 | normal |
ashwinnv/aggrefact_neg_v1 | none | 0.5464 | chemistry | 0.1321 | null | [] | 0 | 4 | normal | |
a1m0/epitope-mhcii | chemistry | 0.6471 | biology | 0.3433 | null | [] | ## Data
The main data directory follows the below structure:
```
./data
├── ./binding_affinity
│ ├── train.json # BA training set
│ ├── val.json # BA validation set
│ ├── test.json # BA test set
├── ./eluted_ligand
│ ├── train.json ... | 1,669 | 4 | normal |
Brench/R1-Distill-MultiMath-76K | math | 0.3548 | chemistry | 0.2349 | null | [] | 0 | 29 | boundary | |
alea-institute/kl3m-data-pacer-deb | legal | 0.9441 | none | 0.0461 | null | [] | # 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](https://github.com/alea-institute/kl3m-data) or refer to the [KL3M Data Project... | 3,928 | 5 | new_discovery |
consulted-graphs/twitch_raw_vod_chats | none | 0.8916 | code | 0.035 | null | [] | This is raw vod and chat data from twitch | 41 | 6 | normal |
enkhtogtokh/synthetic_pathology | medical | 0.921 | none | 0.0757 | null | [] | Togootogtokh, E., & Klasen, C. (2025). Synthetic Pathology Dataset (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14974650
Link: https://zenodo.org/records/14974650
Github code repo: https://github.com/enkhtogtokh/voicegrpo
A synthetic dataset was generated to mimic realistic distributions of voice parame... | 1,721 | 11 | new_discovery |
tmpmodelsave/beta01dpollama3_it_math_type2only_with_sft_loss_200tmp07 | none | 0.6024 | chemistry | 0.1081 | null | [] | 0 | 3 | normal | |
amila009/finetuning_demo | none | 0.3754 | code | 0.1565 | null | [] | 0 | 4 | normal | |
lighteval/MATH-Hard | math | 0.9941 | none | 0.0025 | null | [
"explanation-generation"
] | # Dataset Card for Mathematics Aptitude Test of Heuristics, hard subset (MATH-Hard) dataset
## Dataset Description
- **Homepage:** https://github.com/hendrycks/math
- **Repository:** https://github.com/hendrycks/math
- **Paper:** https://arxiv.org/pdf/2103.03874.pdf
- **Leaderboard:** N/A
- **Point of Contact:** Dan H... | 2,631 | 2,441 | new_discovery |
fanaustinca/eval_60k_test | none | 0.9009 | code | 0.0935 | 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",
"... | 2,860 | 7 | normal |
MikeGreen2710/dfkt_proced | none | 0.4149 | climate | 0.1379 | null | [] | 0 | 5 | normal | |
cfpark00/toy-multistep-nn_10-na_10-nab_20-seed_0 | none | 0.8426 | climate | 0.0482 | null | [] | 0 | 4 | normal | |
2A2I/NoRobots-SambaLingo.Arabic.Chat-DPO | none | 0.9679 | code | 0.0228 | null | [
"dpo",
"orpo"
] | # 🤗 Dataset Card for "NoRobots-SambaLingo.Arabic.Chat-DPO"
### Dataset Sources & Infos
- **Data Origin**: Derived from the Arabic No Robots dataset : [2A2I/H4_no_robots](https://huggingface.co/datasets/2A2I/H4_no_robots) which is based on the original [No Robots](https://huggingface.co/datasets/HuggingFaceH4/no_robot... | 2,385 | 11 | normal |
iiyudana/2view_rate70_edge | none | 0.9579 | code | 0.0384 | 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",
"... | 4,115 | 4 | normal |
Medyassino/MarketplaceJSONLDataset | cybersecurity | 0.3923 | none | 0.3659 | null | [
"marketplace",
"ecommerce",
"products",
"digital-marketplace",
"french",
"jsonl"
] | # MarketplaceJSONLDataset - Dataset JSONL
Dataset au format JSON Lines contenant des données de produits pour l'entraînement de modèles d'IA spécialisés dans les marketplaces.
## 📊 Statistiques du Dataset
- **Format** : JSON Lines (.jsonl)
- **Nombre total d'exemples** : 500,000,000
- **Taille totale** : 566356.09 ... | 4,410 | 14 | boundary |
MayAlsofyani/text | none | 0.4018 | climate | 0.1024 | null | [] | 0 | 4 | normal | |
ashercn97/f1.all.bf1.q1.root | none | 0.4682 | climate | 0.1461 | null | [] | 0 | 5 | normal | |
AdleBens/test_real | none | 0.9245 | code | 0.063 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # test_real
**This dataset was generated using a [phospho dev kit](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. | 292 | 7 | normal |
DCAgent/GLM-4.6-dev-71-tasks-maxtok-8192 | none | 0.7693 | code | 0.2035 | null | [] | 0 | 10 | normal | |
WaltonFuture/geometry3k-mcq | none | 0.5124 | chemistry | 0.1114 | null | [] | 0 | 8 | normal | |
french-open-data/sites-des-espaces-naturels-sensibles-ens-du-conseil-departemental-des-cotes-d-armor | cybersecurity | 0.8935 | none | 0.0861 | null | [
"ens",
"espaces-naturels-sensibles",
"dataset_for_agent"
] | # Sites des Espaces Naturels Sensibles (ENS) du Conseil Départemental des Côtes d'Armor
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Sites des Espaces Naturels Sensibles (ENS) du Conseil Départemental des Côtes d'Armor** qui est disponible à l'adresse... | 1,497 | 9 | new_discovery |
vuquangtrung/newscook | none | 0.3302 | code | 0.1125 | null | [] | 0 | 2 | normal | |
Kurosawama/EVAL_Llama-3.1-8B | biology | 0.7235 | none | 0.1134 | null | [] | 0 | 6 | normal | |
nickfuryavg/mls_eng_chunk_10650000_to_10700000 | none | 0.6149 | code | 0.1104 | null | [] | 0 | 9 | normal | |
abrarlohia/sample_furniture_object | none | 0.388 | climate | 0.2207 | null | [] | 0 | 6 | normal | |
allenai/ai2_arc | none | 0.967 | biology | 0.0134 | null | [] | # Dataset Card for "ai2_arc"
## 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-instances)
... | 7,291 | 365,758 | normal |
iam-tsr/hindi-sentiments | none | 0.842 | climate | 0.0583 | null | [
"hindi",
"sentiment"
] | label: {'Neutral': 0, 'Positive': 1, 'Negative': 2} | 51 | 22 | normal |
saudefem/FEWSHOT_qwen7_1 | none | 0.4877 | finance | 0.1161 | null | [] | 0 | 6 | normal | |
HKrecords/cleaned-MNLP_M2_dpo_dataset | none | 0.5658 | code | 0.1366 | null | [] | 0 | 3 | normal | |
abhishekyo/eval_dataset | none | 0.4487 | chemistry | 0.1872 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_Qwen_Qwen3-8B_20251202_214505 | none | 0.5867 | biology | 0.3148 | null | [] | 0 | 11 | normal | |
Windy/SynPO-Seed_Data_Format4PromptGenerator | biology | 0.3155 | climate | 0.2688 | null | [] | 0 | 5 | boundary | |
DCAgent2/DCAgent2_aider_polyglot_laion_glm-4_6-nemo-prism_20260125_011541 | none | 0.9184 | biology | 0.0261 | null | [] | 0 | 10 | normal | |
teamcore/DPO_L8B_RMAB_TG_beta0.1dpo_pro_vs_dlm_default_traj | none | 0.4618 | code | 0.3823 | null | [] | 0 | 5 | normal | |
arutiwari/Simeonov2008 | chemistry | 0.9978 | biology | 0.0013 | null | [] | Description of the overall dataset including proper citations
This dataset lists all the active compounds from the various compounds screened in Simeonov et al.2008 ( Fluorescence spectroscopic profiling of compound libraries. J Med Chem. 2008 Apr 24;51(8):2363-71. DOI: 10.1021/jm701301m. Epub 2008 Mar 26. PMID: 18363... | 1,378 | 9 | new_discovery |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B6a8f2d71 | code | 0.5515 | none | 0.3663 | null | [] | 0 | 10 | normal | |
YunshenWang/hdc_dataset_h1 | none | 0.9306 | chemistry | 0.0269 | null | [] | Zarr format datasets for Humanoid Diffusion Controller training , each containing 200 k trajectories collected on the H1 humanoid robot.:
```text
h1_3_200k.zarr – 3-point motion-tracking trajectories
h1_22_200k.zarr – 22-point motion-tracking trajectories
``` | 262 | 5 | normal |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B9d114c73 | code | 0.482 | none | 0.3604 | null | [] | 0 | 12 | boundary | |
sibasmarakp/Qwen2.5-14B-Instruct-best_of_n-completions-zeroshot-cot | none | 0.7802 | code | 0.1382 | null | [] | 0 | 9 | normal | |
svjack/Shoji_ai_images | none | 0.8815 | code | 0.0663 | null | [] | 
 | 243 | 6 | normal |
ROBOTIS/ffw_bg2_rev4_pick_coffee_bottle_env5_1 | none | 0.8766 | code | 0.1194 | null | [
"ffw_bg2_rev4_custom",
"robotis"
] | 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",
"... | 5,070 | 16 | normal |
rajeshrai577/nepali_food_500_dishes | none | 0.755 | biology | 0.1912 | null | [
"food",
"nepali-culture",
"south-asia",
"gastronomy",
"recipe-metadata"
] | # Nepali Gastronomy: 500 Traditional and Modern Dishes
## Overview
This dataset provides a comprehensive list of 500 food items from Nepal, representing the country's vast culinary landscape. It spans traditional staples, regional specialties from various ethnic groups (Newari, Tharu, Sherpa, Rai, Limbu, etc.), and mo... | 2,909 | 14 | normal |
bharathjanumpally/tfplan-risk-labels-multicloud | cybersecurity | 0.9958 | code | 0.0024 | cybersecurity | [
"terraform",
"security",
"compliance",
"devsecops",
"multicloud"
] | # Terraform Plan Risk Labels (Multi‑Cloud)
A dataset of **Terraform plan JSON** resource changes labeled with **security/compliance risk categories** (multi‑label) across **AWS / GCP / Azure**.
## What it’s for
- CI/CD pre-merge “risk scanning” of infrastructure changes
- Fine-tuning / training a small classifier to ... | 2,223 | 26 | normal |
DCAgent/freelancer-t2048s-32ep | none | 0.5298 | code | 0.1837 | null | [] | 0 | 9 | normal | |
sssOrganization/wikipedia | none | 0.9719 | code | 0.0221 | null | [] | # Dataset Card for Wikimedia Wikipedia
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#datase... | 5,125 | 25 | normal |
konwoo/dclm-164k-real-train-8b-instruct-hq-cpr4-ml1024 | none | 0.5914 | chemistry | 0.2018 | null | [] | 0 | 18 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-qwen-qwen3-4b-thinking-2507-20251111-140342 | none | 0.9032 | code | 0.0845 | null | [] | 0 | 11 | normal | |
hackerrank/example_annotated_code_repo_data | code | 0.9898 | none | 0.0073 | null | [] | A description of the fields:
| Column | What it captures | Typical values |
| ----------------------- | --------------------------------------------- | ------------------------- |
| `id` | Row identifier | 1-100 ... | 1,485 | 19 | new_discovery |
istat-ai/court-rulings-coi | legal | 0.9745 | none | 0.019 | legal | [
"legal"
] | # Italian Court Rulings on Conflict of Interest (COI)
This dataset contains 1,343 public Italian court rulings related to Conflict of Interest (COI) matters, spanning from 2012 to 2025. | 185 | 9 | normal |
mlfoundations-dev/meta_chat_reasoning_0_100_100k_eval_636d | none | 0.9837 | code | 0.0136 | null | [] | # mlfoundations-dev/meta_chat_reasoning_0_100_100k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------... | 3,027 | 5 | normal |
mlfoundations-dev/b1_code_top_8_0.3k | code | 0.4942 | none | 0.3327 | null | [] | 0 | 4 | normal | |
introvoyz041/counseling_strategies_and_interventions_for_professional_helpers | legal | 0.4001 | none | 0.3529 | null | [] | 0 | 4 | boundary | |
svjack/Male_College_Badminton_Player_Images_Captioned_1024x1024 | none | 0.627 | code | 0.2197 | null | [] | 0 | 4 | normal | |
Ameeeee/my-distiset-01d55170 | climate | 0.7907 | none | 0.1611 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for my-distiset-01d55170
This dataset has been crea... | 1,632 | 5 | normal |
DRDELATV2025/podcast_epicuro_sponsors | none | 0.6421 | finance | 0.0848 | null | [] | 0 | 5 | normal | |
ShiningJazz/feedback_assistant_harmlesshelpfulhumor_271_1.25_4_0 | none | 0.781 | code | 0.107 | null | [] | 0 | 4 | normal | |
zeta-alpha-ai/NanoSciFact | chemistry | 0.5909 | none | 0.2103 | null | [
"text-retrieval"
] | 0 | 7,152 | normal | |
open-llm-leaderboard-old/details_JCX-kcuf__Llama-2-7b-chat-hf-gpt-4-80k-base_lora | none | 0.9705 | code | 0.0146 | null | [] | # Dataset Card for Evaluation run of JCX-kcuf/Llama-2-7b-chat-hf-gpt-4-80k-base_lora
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [JCX-kcuf/Llama-2-7b-chat-hf-gpt-4-80k-base_lora](https://huggingface.co/JCX-kcuf/Llama-2-7b-chat-hf-gpt-4-80k-base_lor... | 19,416 | 7 | normal |
rachitbansal-harvard/olmo_bugs_context_20 | none | 0.5125 | code | 0.1683 | null | [] | 0 | 5 | normal | |
bitmind/celeb-a-hq_training_untransformed_faces | none | 0.7309 | code | 0.0863 | null | [] | 0 | 3 | normal | |
skyzos/first-humanoid-dataset | none | 0.9609 | code | 0.0361 | 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",
"... | 5,506 | 24 | normal |
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