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 |
|---|---|---|---|---|---|---|---|---|---|---|
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3abbdb7f-da18-453e-9120-6f4635e6859b | none | 0.6201 | code | 0.1585 | null | [] | 0 | 3 | normal | |
SayantanJoker/processed_seamless_align_hindi_new_chunk_39 | none | 0.7914 | code | 0.1049 | null | [] | 0 | 3 | normal | |
french-open-data/mapa-3-6-2024-fourniture-de-materiel-informatique-en-7-lots-sur-2-ans | cybersecurity | 0.5363 | none | 0.3325 | null | [
"dataset_for_agent"
] | # MAPA 3-6/2024 - Fourniture de matériel informatique en 7 lots sur 2 ans.
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **MAPA 3-6/2024 - Fourniture de matériel informatique en 7 lots sur 2 ans. ** qui est disponible à l'adresse https://www.data.gouv.f... | 1,215 | 9 | normal |
JiabinQ/eval_fork_ROTATE_9k | none | 0.9183 | code | 0.0767 | 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",
"... | 3,575 | 6 | normal |
hpe-ai/customer-complaints | legal | 0.3721 | none | 0.2303 | null | [] | ## License
apache-2.0
## About
### Source
https://catalog.data.gov/dataset/consumer-complaint-database
### Data Prep
- removed rows with empty values
- filtered out complaints with over 100 words
- filtered out products, sub-products, issues and sub-issues with less than 30 occurrences
## Purpose
Intended for u... | 456 | 5 | boundary |
zbpjlc/catch | none | 0.9342 | code | 0.0584 | 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",
"... | 6,617 | 5 | normal |
morpheushoc/youcook2 | none | 0.3243 | chemistry | 0.221 | null | [] | 0 | 156 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_1fa7acfd-362d-451c-bb5e-0dd7a84d0aed | none | 0.6701 | code | 0.1108 | null | [] | 0 | 3 | normal | |
Lots-of-LoRAs/task399_semeval_2018_task1_tweet_sadness_detection | none | 0.9011 | biology | 0.0632 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task399_semeval_2018_task1_tweet_sadness_detection
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/240... | 2,325 | 14 | normal |
diveman/ml54-tags | none | 0.9414 | chemistry | 0.0201 | null | [] | # Dataset Card for "ml54-tags"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 163 | 4 | normal |
Winboy/twitter_dataset_1718277665 | none | 0.551 | climate | 0.1306 | null | [] | 0 | 3 | normal | |
Sengankou/eval_T1-k3-mix-instLeft-ckpt002000-retry2 | none | 0.9154 | code | 0.0796 | 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",
"... | 3,584 | 25 | normal |
ankile/square-dagger-state-seq2-r8 | none | 0.9573 | code | 0.0296 | 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",
"... | 5,462 | 37 | normal |
jamieoliver/titanic-2410 | none | 0.7507 | biology | 0.1832 | null | [] | A cleaned, feature engineered, and split version of the classic Titanic survival dataset from OpenML. See https://github.com/jamieoliver/titanic-dataset-2410 for more details.
Based on https://github.com/fastai/course22/blob/master/clean/05-linear-model-and-neural-net-from-scratch.ipynb using the dataset from using th... | 408 | 10 | normal |
asingh15/arc-barc-processed-direct-max4k-abs-fewshot1-further-step215-qwensols-0112-8of32 | none | 0.9362 | code | 0.0293 | null | [] | 0 | 10 | normal | |
gunnybd01/Basic_Materials_News_smr_processed | chemistry | 0.3355 | none | 0.3269 | null | [] | 0 | 3 | boundary | |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoDiv-RL-longmult_2dig__v1 | none | 0.897 | code | 0.0574 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_3args_NoDiv-RL-longmult_2dig
**Experiment Description:** Evaluation experiment for task longmult_2dig from FinEval_16k_fulleval_3args_NoDiv-RL
**Start Time:** 2025-11-09T16:26:21.700908
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoDiv-RL-longmul... | 3,039 | 5 | normal |
EmaRimoldi/wiki-stem-large | none | 0.5567 | code | 0.1037 | null | [] | 0 | 4 | normal | |
jeqcho/qwen-2.5-32b-instruct-elephant-numbers-run-2 | none | 0.4767 | code | 0.476 | null | [] | 0 | 14 | normal | |
shangzx/Sunscreen-Products-Image-Classification-Dataset | none | 0.6323 | cybersecurity | 0.3247 | null | [
"classification",
"recognition",
"deep learning",
"product recognition",
"visual search",
"e-commerce recommendation"
] | # Sunscreen Products Image Classification Dataset
Currently, the retail e-commerce industry faces challenges such as low efficiency in product classification and difficulties in consumer search, especially with sunscreen products, where customers find it hard to quickly locate the required items. Existing image classi... | 2,404 | 26 | normal |
sergiov2000/eval_act_so100_movella_push_e5 | none | 0.9349 | code | 0.0616 | 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",
"... | 3,584 | 8 | normal |
Asap7772/NYT-Connections-Synthetic-Fewshot-Categories-11 | none | 0.5131 | code | 0.1661 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/c1_math_nod_1s_10k_eval_636d | none | 0.7377 | math | 0.2355 | null | [] | # mlfoundations-dev/c1_math_nod_1s_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-----... | 3,004 | 5 | normal |
Pankayaraj/STAR-41K-DA-Speculative-Unfiltered-Ver-DeepSeek-R1-Distill-Qwen-32B-Draft-Llama-3.2-1B-Instruct | none | 0.6677 | biology | 0.1886 | null | [] | 0 | 8 | normal | |
techteamzitga/dataset-game-test | finance | 0.3639 | none | 0.3367 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 4 | boundary |
qnoens/cleaning | none | 0.8807 | code | 0.1131 | 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",
"... | 5,251 | 5 | normal |
masato-ka/so100_nlact_block_instruct | none | 0.9155 | code | 0.0787 | null | [
"so100",
"vla",
"langage conditon"
] | 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",
"... | 3,191 | 16 | normal |
UniqueData/hispanic-kyc-photo-dataset | none | 0.8388 | legal | 0.1104 | null | [
"Face Recognition",
"Face Detection",
"age estimation"
] | # Know Your Customer Dataset, Face Detection and Re-identification, Hispanic People
# The dataset is created on the basis of [Selfies and ID Dataset](https://unidata.pro/datasets/selfie-with-id/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=hispanic-kyc-photo-dataset)
**10,800**+ photos including **1,400... | 3,619 | 48 | normal |
svjack/genshin-impact-character-image | none | 0.7712 | code | 0.0732 | null | [] | 0 | 5 | normal | |
GitBag/1744876255 | code | 0.2789 | climate | 0.1933 | null | [] | 0 | 5 | boundary | |
felixZzz/bespoke_sub1k_overlap-teacher_len32k_response-25-teacher_logps | none | 0.823 | code | 0.1241 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent2_aider_polyglot_laion_qwen3-coder-480B-stack-overflow-32ep-131k-summtrc2494c72b | none | 0.7131 | code | 0.2194 | null | [] | 0 | 9 | normal | |
Deepkar/eval_box-packaging-stacking-50ep-act | none | 0.935 | code | 0.0603 | 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",
"... | 2,939 | 5 | normal |
RoyArkh/27-11-pythia70ag_news-mia_ag_news_client6 | none | 0.7218 | climate | 0.1054 | null | [] | 0 | 6 | normal | |
rescommons/agent-orchestration-intents-dataset | none | 0.7595 | code | 0.1098 | null | [
"agent-routing",
"orchestration",
"multi-agent",
"function-calling",
"intent-classification"
] | # Agent Orchestration Dataset
A dataset for training and evaluating intelligent orchestrator models that route user requests to specialist agents with high-level intent classification.
## Dataset Description
This dataset contains conversational examples where an orchestrator must analyze user requests and determine ... | 4,825 | 25 | normal |
SeaSponge/wildme10_classify | biology | 0.3327 | none | 0.242 | null | [] | 0 | 4 | boundary | |
MisterEScholar/s50K_part_25 | none | 0.4812 | math | 0.1383 | null | [] | 0 | 4 | normal | |
louisbrulenaudet/code-legion-honneur-medaille-militaire-ordre-national-merite | legal | 0.9988 | none | 0.0007 | legal | [
"finetuning",
"legal",
"french law",
"droit français",
"Code de la Légion d'honneur, de la Médaille militaire et de l'ordre national du Mérite"
] | # Code de la Légion d'honneur, de la Médaille militaire et de l'ordre national du Mérite, non-instruct (2025-09-20)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their in... | 6,147 | 13 | normal |
Atotti/spoken-multiturn-sft | none | 0.6777 | math | 0.2226 | null | [] | # Spoken Multi-turn SFT Japanese
Japanese spoken multi-turn SFT dataset generated from [kanhatakeyama/AutoMultiTurnByCalm3-22B](https://huggingface.co/datasets/kanhatakeyama/AutoMultiTurnByCalm3-22B) using CosyVoice2 TTS.
## Dataset Description
This dataset contains Japanese multi-turn SFT (Supervised Fine-Tuning) d... | 18,031 | 64 | normal |
nyuuzyou/wikis | none | 0.9175 | code | 0.0525 | null | [] | # Dataset Card for Public MediaWiki Collection
### Dataset Summary
This dataset contains 1,662,448 articles harvested from 930 random public MediaWiki instances found across the Internet. The collection was created by extracting current page content from these wikis, preserving article text, metadata, and structural i... | 1,461 | 14 | normal |
SilvaFV/UFSC_eval | none | 0.3775 | biology | 0.1765 | null | [] | 0 | 4 | normal | |
joelb/ccai_scotland | none | 0.5292 | biology | 0.1235 | null | [] | 0 | 4 | normal | |
GMCunha/processed_bert_dataset | none | 0.5767 | climate | 0.1342 | null | [] | 0 | 4 | normal | |
CandyCaine/onnx_vuln | cybersecurity | 0.8105 | code | 0.1553 | null | [] | # Arbitrary File Write in `onnx.save_model` (Python)
**Severity**: High
**Component**: `onnx` (Python Library)
**Vulnerability Type**: Path Traversal (Arbitrary File Write)
**CWE**: CWE-22, CWE-23, CWE-59
**Affected Functions**: `onnx.external_data_helper.save_external_data`, `onnx.save_model(..., save_as_extern... | 7,873 | 5 | new_discovery |
HichTala/cadot_5shot_1 | none | 0.4988 | climate | 0.1669 | null | [] | 0 | 20 | normal | |
ygtrpmkss/sembilanyaws | none | 0.3069 | climate | 0.1309 | null | [] | 0 | 7 | normal | |
penfever/rl__24GPU_shaped__exp_rpt_pymethods2test-large__GLM-4_7-swesmith-san | none | 0.5386 | code | 0.3721 | null | [] | 0 | 8 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_dle_elec_multimillesime_49 | none | 0.7952 | chemistry | 0.0494 | null | [] | 0 | 4 | normal | |
kb127/eval_wirealltest_last2 | none | 0.9085 | code | 0.0858 | 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 | 8 | normal |
open-llm-leaderboard-old/details_LeroyDyer__Mixtral_Chat_X | none | 0.9656 | code | 0.0264 | null | [] | # Dataset Card for Evaluation run of LeroyDyer/Mixtral_Chat_X
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LeroyDyer/Mixtral_Chat_X](https://huggingface.co/LeroyDyer/Mixtral_Chat_X) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggin... | 19,275 | 5 | normal |
1231czx/fixedbeta05_no_sft_llama3_sft_math_dpo_type12_8ktype4_7ktype3_ver2_500tmp10_vllmexp | none | 0.9051 | math | 0.0332 | null | [] | 0 | 3 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_e4fcb935-90c4-4099-a758-b8fec74997c5 | none | 0.685 | code | 0.1224 | null | [] | 0 | 3 | normal | |
diwank/helpsteer-best-chatml | none | 0.705 | code | 0.1004 | null | [] | 0 | 4 | normal | |
sebi28545/record-test128 | none | 0.923 | code | 0.072 | 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",
"... | 3,574 | 14 | normal |
yosubshin/WaltonMultimodalColdStart-random-500-1 | none | 0.6121 | biology | 0.229 | null | [] | 0 | 5 | normal | |
Asconamiglio/GDW_Test1 | none | 0.3286 | biology | 0.213 | null | [] | 0 | 6 | normal | |
Imsidag-community/kabyle-corpus-hca | none | 0.8638 | legal | 0.1192 | null | [
"kabyle",
"tamazight",
"low-resource",
"ummto",
"dspace"
] | # Kabyle Paragraph Corpus (HCA Algeria)
188,620 Kabyle sentences extracted from **open-access PDFs** published on [HCA Algeria](https://adlis.hcamazighite.dz/amager) – the institutional repository of **Haut Commissariat à l'Amazighité** (Algeria).
Documents originate from **Haut Commissariat à l'Amazighité**.
## Fie... | 966 | 13 | normal |
Pjotters/Intelligence | none | 0.2922 | cybersecurity | 0.1344 | null | [] | 0 | 2 | normal | |
mercor/APEX-SWE | code | 0.9887 | cybersecurity | 0.0097 | null | [] | # APEX-SWE: Open-Source Evaluation Tasks
A benchmark suite of **50 open-source tasks** for evaluating AI coding agents on real-world software engineering challenges. This dataset contains **25 integration tasks** and **25 observability tasks**.
- For the evaluation harness (setup, running evaluations, scoring), see: ... | 12,730 | 50 | new_discovery |
taikonauts/record-test-12 | none | 0.9034 | code | 0.0916 | 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",
"... | 4,161 | 7 | normal |
nhagar/CC-MAIN-2018-05_urls | none | 0.7186 | code | 0.1905 | null | [] | This dataset contains domain names and counts of (non-deduplicated) URLs for every record in the CC-MAIN-2018-05 snapshot of the Common Crawl. It was collected from the [AWS S3 version](https://aws.amazon.com/marketplace/pp/prodview-zxtb4t54iqjmy?sr=0-1&ref_=beagle&applicationId=AWSMPContessa) of Common Crawl via Amazo... | 503 | 7 | normal |
Rcarvalo/hugodecrypte_dataset_chunk_023 | none | 0.4851 | climate | 0.099 | null | [] | 0 | 5 | normal | |
Seanie-lee/ThinkSafe-1.7B-n5-math-8192 | none | 0.5263 | code | 0.4047 | null | [] | 0 | 4 | normal | |
harpreetsahota/visual_ai_at_neurips2025_nomic | none | 0.8499 | code | 0.0709 | null | [
"fiftyone",
"image",
"image-classification"
] | # Dataset Card for Voxel51/visual_ai_at_neurips2025
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1134 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fif... | 4,617 | 66 | normal |
leeroy-jankins/Outlays | finance | 0.9854 | legal | 0.0116 | null | [] | # 💸 U.S. Federal Outlays Dataset – Budget Execution in Action
**Maintainer**: [Terry Eppler](https://gravatar.com/terryepplerphd)
**Source**: Office of Management and Budget (OMB), U.S. Department of the Treasury
**Standards**: OMB Circular A-11, DATA Act (Pub. L. 113–101), Treasury GTAS
---
## 🧾 What Are Fed... | 2,828 | 4 | new_discovery |
DCAgent/exp_tas_temp_2.0_traces | none | 0.4569 | chemistry | 0.1224 | null | [] | 0 | 8 | normal | |
chcaa/smk_canon_paintings | none | 0.8124 | code | 0.0518 | null | [] | 0 | 6 | normal | |
PhamCong48/dataset_1671 | none | 0.4023 | climate | 0.1601 | null | [] | 0 | 6 | normal | |
wyu1/Qwen3-4B-10-10-solver-v4-1000 | none | 0.5761 | code | 0.1969 | null | [] | 0 | 5 | normal | |
ernestoluciano/binghatti-entrenamiento-v1 | none | 0.9269 | code | 0.0215 | null | [] | Agent Dashboard © 2025 by Ernesto Luciano Batista is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/ | 232 | 4 | normal |
Luffytaro-1/asr_en_ar_switch_split_27_final | none | 0.8188 | code | 0.0522 | null | [] | 0 | 3 | normal | |
TheFactoryX/edition_0335_shi-labs-oneformer_demo-readymade | none | 0.9762 | code | 0.0226 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0335_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 4 | normal |
GraphTwin-ai/DBpedia-2020-PG-Edges | none | 0.5212 | biology | 0.1304 | null | [] | 0 | 20 | normal | |
rabhishek100/so100_test_real2 | none | 0.9231 | code | 0.0732 | null | [
"so100",
"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": "v2.0",
"... | 3,585 | 27 | normal |
XueyingJia/review-search-dataset | none | 0.4796 | climate | 0.1408 | null | [] | 0 | 6 | normal | |
Dastan27/Education-Philosophy2 | none | 0.408 | biology | 0.2853 | null | [] | 0 | 8 | normal | |
JoelMba/Donnees_internes_reglement_RT_28 | none | 0.8249 | legal | 0.0853 | null | [] | # Dataset Card for "Donnees_internes_reglement_RT_28"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 186 | 4 | normal |
DopeorNope/insurance_train | none | 0.3004 | finance | 0.1746 | null | [] | 0 | 3 | normal | |
Jarbas/localingua_africa_pt | none | 0.4625 | code | 0.1322 | null | [] | 0 | 7 | normal | |
thexdk/wiki_en | none | 0.5224 | code | 0.1265 | null | [] | 0 | 5 | normal | |
TAUR-dev/9_8_25__gsm8k__sft_data_multiprompts_ckpt_chunk_12 | none | 0.7163 | chemistry | 0.0695 | null | [] | 0 | 4 | normal | |
Divij/RLforDecomp | none | 0.3105 | chemistry | 0.1732 | null | [] | 0 | 51 | normal | |
aisi-whitebox/mo1xe_checkpoint_196_CyberMetric-2000_cot | cybersecurity | 0.8762 | none | 0.1139 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xe_checkpoint_196_CyberMetric-2000_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-27.
### Model Information
- **Model**: `vllm/checkpoint-196`
- **Model args**: {'port': 36138, 'api_key': 'inspectai'}
... | 1,531 | 3 | new_discovery |
barma7/oai-t2maps-epgfit | biology | 0.4514 | medical | 0.3418 | null | [
"medical",
"biology",
"cartilage",
"t2mapping",
"OAI"
] | # Osteoarthritis Initiative (OAI) T2 Maps – EPG Fit Dataset
This dataset repository contains T2 maps derived from the Multi-Echo Spin-Echo (MESE) MRI data in the Osteoarthritis Initiative (OAI).
The maps were generated specifically for cartilage regions using the Extended Phase Graph (EPG) formalism, which improves t... | 5,703 | 27 | boundary |
pdf2dataset/70a9a44195aaa5a81a17dd396bb65380 | none | 0.4688 | biology | 0.1342 | null | [] | 0 | 4 | normal | |
Asap7772/prm800k_passk_qs1000_discount0.8_weightedregressionrtg_mergestep_tau0.9_tie0.01 | none | 0.8605 | biology | 0.038 | null | [] | 0 | 4 | normal | |
Kush26/student-mh-counseling-bilingual | medical | 0.9054 | none | 0.0861 | medical | [
"medical"
] | # Student Mental Health Counseling Dataset
This dataset contains approximately **200,000 bilingual question–answer pairs** related to student mental health counseling.
It is intended for research and development of natural language processing (NLP) models that can assist in supportive counseling, dialogue systems, a... | 1,270 | 27 | normal |
EuskadIA/Ingurumena_Hiztegi_Entziklopedikoa | none | 0.7898 | biology | 0.0713 | null | [] | > [!NOTE]
> Dataset origin: https://www.ivap.euskadi.eus/webivap00-a5app3/fr/ac36aEuskaltermWar/publiko/erakutsiBankuEdukia | 124 | 3 | normal |
Deojoandco/dehum | none | 0.5696 | climate | 0.0789 | null | [] | 0 | 4 | normal | |
zywang03/AlignX-cluster-20-sample-200k | none | 0.4851 | code | 0.1589 | null | [] | 0 | 8 | normal | |
Vincentious/FinalDataset | none | 0.3495 | climate | 0.2038 | null | [] | 0 | 27 | normal | |
SDAIANCAI/Ar-En-Code-Switching-Textual-Dataset | none | 0.9687 | code | 0.0173 | null | [] | # ArE-CSTD: Arabic-English Code-Switching Textual Dataset
The National Center for Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA), published the "ArE-CSTD" dataset, which stands for "Arabic-English Code-Switching Textual Dataset”.
This dataset contains 330K dialectical Arabic-E... | 1,921 | 8 | normal |
sk1700/iros2 | none | 0.9499 | code | 0.0178 | null | [
"robotics",
"dataset",
"ur5e"
] | # UR5e Dual RealSense Haptic Teleoperation Dataset (LeRobot v2.1)
- Control loop: ~500 Hz (RTDE)
- Dataset sampling: fixed 30 Hz
Definitions:
- `observation.state[t] = q_actual[t]` (UR joint positions, rad)
- `action[t] = Δq[t] = q_actual[t+1] - q_actual[t]` (joint delta per dataset timestep at 30 Hz)
Visualizer-fri... | 861 | 34 | normal |
Ajiket/eval_test_pick_cubes_1 | none | 0.8936 | code | 0.0948 | 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"... | 2,314 | 5 | normal |
pxyyy/NuminaMath-CoT-smp20k-removed-top2000-by-mp-1e-4 | math | 0.6747 | none | 0.2794 | null | [] | # Dataset Card for "NuminaMath-CoT-smp20k-removed-top2000-by-mp-1e-4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 202 | 6 | normal |
andrewsiah/PersonaPromptPersonalLLM_659 | none | 0.9722 | code | 0.0186 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_659"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
ChiefTheLord/IMP_FT_INSTRUCT_PT_TOKENIZED | none | 0.5184 | code | 0.1903 | null | [] | 0 | 34 | normal | |
SINAI/ALIA-legal-administrative-cqa | legal | 0.997 | none | 0.0023 | legal | [
"legal",
"administrative",
"Spanish",
"BOJA",
"question-answering",
"context-qa"
] | # Dataset Card for ALIA-legal-administrative-cqa Corpus
The **ALIA Legal and Administrative for Context Question Answering Corpus** is a specialized question-answering resource derived from the [SINAI/ALIA-legal-administrative](https://huggingface.co/datasets/SINAI/ALIA-legal-administrative) corpus. This dataset trans... | 16,919 | 41 | normal |
Jiafei1224/so100_test2 | none | 0.9231 | code | 0.0726 | null | [
"so100",
"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",
"... | 3,580 | 21 | normal |
tomneutens/up-grab-test-session_2025-11-23_13.01.01 | none | 0.9221 | code | 0.0737 | 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",
"... | 3,588 | 4 | normal |
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