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 |
|---|---|---|---|---|---|---|---|---|---|---|
DCAgent2/DCAgent2_terminal_bench_2_DCAgent2_stack-bugs-over5050_20251209_045402 | code | 0.7814 | none | 0.1504 | null | [] | 0 | 9 | normal | |
ricky0526/so101_move_block | none | 0.9377 | code | 0.0581 | 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",
"... | 3,579 | 39 | normal |
french-open-data/jeux-olympiques-et-paralympiques-2024-expositions-sur-le-sport-a-antibes-juan-les-pins | cybersecurity | 0.5756 | none | 0.3964 | null | [
"archives",
"culture",
"exposition",
"guerres",
"handicap",
"histoire",
"jeux-olympiques",
"memoire",
"patrimoine",
"sport",
"sport-sante",
"sportifs",
"dataset_for_agent"
] | # Jeux Olympiques et Paralympiques 2024 : expositions sur le sport à Antibes Juan-les-Pins
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Jeux Olympiques et Paralympiques 2024 : expositions sur le sport à Antibes Juan-les-Pins** qui est disponible à l'a... | 1,297 | 6 | normal |
self-label-zanette-lab/knight-knave-4-dw3-OOD-test100 | biology | 0.4375 | none | 0.3992 | null | [] | 0 | 5 | boundary | |
gokturkcinel/synthetic-cellline-ner | biology | 0.9648 | chemistry | 0.0247 | null | [] | 0 | 5 | new_discovery | |
Allen-UQ/pubmed_1_target_2_hop | none | 0.6403 | code | 0.0956 | null | [] | 0 | 3 | normal | |
LiteMind/GPT-Arabic-ChatML-data | none | 0.768 | code | 0.1193 | null | [] | 0 | 30 | normal | |
SayantanJoker/fleurs-hindi-female-44100hz-quality | none | 0.7724 | code | 0.1252 | null | [] | 0 | 5 | normal | |
nyuuzyou/crowdrepublic | none | 0.761 | finance | 0.1838 | null | [
"images"
] | # Dataset Card for CrowdRepublic.ru
### Dataset Summary
This dataset contains crowdfunding projects from CrowdRepublic.ru, a Russian platform for crowdfunding creative projects. The dataset includes metadata for various projects with details about funding, creators, and rewards.
### Languages
The dataset is primarily... | 1,907 | 7 | normal |
saudefem/RAG_SEMFINET_qwen14qsem8_k4_v2 | none | 0.5504 | biology | 0.1499 | null | [] | 0 | 2 | normal | |
supergoose/flan_combined_task097_conala_remove_duplicates | none | 0.8623 | code | 0.059 | null | [] | 0 | 4 | normal | |
BeautyyuYanli/deep-sink-data-alpaca | none | 0.4142 | chemistry | 0.1933 | null | [] | 0 | 4 | normal | |
copycat-project/laion2b6plus_bridge | none | 0.6433 | code | 0.197 | null | [] | 0 | 5 | normal | |
HANTIFARAH/Farah-0knd3062kso | none | 0.4549 | legal | 0.1398 | null | [] | 0 | 3 | normal | |
AndrewAp624/Padraig | climate | 0.2381 | none | 0.2379 | null | [] | 0 | 4 | boundary | |
DCAgent2/DCAgent2_bfcl-parity_DCAgent_All_Puzzles_5k_OG_5k_New_Context_GPT4o-mini_new_co484e5899 | none | 0.6816 | code | 0.1336 | null | [] | 0 | 13 | normal | |
MathNER/OPC-o3 | chemistry | 0.3147 | math | 0.2613 | null | [] | 0 | 4 | boundary | |
CohenQu/Omni-MATH-Qwen3-4B-16k_hard_human_sol | none | 0.4811 | math | 0.389 | null | [] | 0 | 8 | normal | |
noxneural/orcapaca_albanian | none | 0.4399 | biology | 0.2099 | null | [] | 0 | 3 | normal | |
ZurabDz/tokenized_dataset_30000 | none | 0.6676 | climate | 0.0755 | null | [] | 0 | 5 | normal | |
french-open-data/aeag-sdage-2022-2027-cours-d-eau-en-tres-bon-etat-et-reservoirs-biologiques | biology | 0.6987 | cybersecurity | 0.2716 | null | [
"aeag",
"dce",
"donnees-ouvertes",
"france",
"habitats-et-biotopes",
"hydrographie",
"planningcadastre",
"sdage-2022-2027",
"zonage",
"zones-de-gestion-de-restriction-ou-de-reglementation-et-unites-de-declaration",
"dataset_for_agent"
] | # AEAG - SDAGE 2022-2027 - Cours d'eau en très bon état et réservoirs biologiques
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **AEAG - SDAGE 2022-2027 - Cours d'eau en très bon état et réservoirs biologiques** qui est disponible à l'adresse https://www... | 2,192 | 12 | normal |
Enstar07/3camera_test00 | none | 0.9397 | code | 0.0555 | 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",
"... | 4,212 | 4 | normal |
sjleslie/MGEN_StrippedQs_A_split_slimpj_context_len_1 | none | 0.5118 | code | 0.3329 | null | [] | 0 | 15 | normal | |
Fatin757/ssf-dataset-synthetic | legal | 0.7798 | none | 0.0969 | null | [
"distilabel",
"rlaif"
] | <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 ssf-dataset-synthetic
This dataset has been cre... | 14,922 | 4 | normal |
lang-uk/recruitment-dataset-candidate-profiles-ukrainian | none | 0.664 | code | 0.1408 | null | [] | # Djinni Dataset (Ukrainian CVs part)
## Overview
The [Djinni Recruitment Dataset](https://github.com/Stereotypes-in-LLMs/recruitment-dataset) (Ukrainian CVs part) contains 150,000 job descriptions and 230,000 anonymized candidate CVs, posted between 2020-2023 on the [Djinni](https://djinni.co/) IT job platform. The... | 3,376 | 8 | normal |
Y11IC/mini-platypus | biology | 0.6698 | climate | 0.1941 | null | [] | 0 | 3 | normal | |
AmanPriyanshu/reasoning-sft-JSON-structuring-and-correcting | code | 0.4546 | none | 0.3158 | null | [
"reasoning",
"chain-of-thought",
"tool-calling",
"structured-output",
"json",
"json-repair",
"agent"
] | # JSON Structuring and Correcting (Reasoning SFT)
Combined dataset of 508K rows for training LLMs on structured output tasks with reasoning traces, sourced from two datasets:
## Sources
### tool_calling.parquet (488,461 rows)
Converted from [vericava/sft-tool-calling-structured-output-v1](https://huggingface.co/data... | 2,444 | 33 | boundary |
jordan-taylor-aisi/odran_elicitation_odran_elicitation_gdm_intercode_ctf | code | 0.4065 | cybersecurity | 0.3663 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: odran_elicitation_odran_elicitation_gdm_intercode_ctf
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-06-20.
### Model Information
- **Model**: `vllm/meta-llama/Llama-3.3-70B-Instruct`
- **Model args**: {'max_mod... | 6,202 | 8 | boundary |
drja23/thin-sections-wikimedia | none | 0.6986 | code | 0.0713 | null | [] | 0 | 5 | normal | |
burgerbee/physics_wiki | none | 0.6532 | chemistry | 0.1404 | null | [] | 0 | 79 | normal | |
OALL/details_2A2I-R__L500MT | none | 0.9548 | code | 0.0326 | null | [] | # Dataset Card for Evaluation run of 2A2I-R/L500MT
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [2A2I-R/L500MT](https://huggingface.co/2A2I-R/L500MT).
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.... | 24,758 | 5 | normal |
Mollel/ARC_Challenge_SWH | none | 0.9672 | code | 0.0237 | null | [] | # Dataset Card for ARC_Challenge_Swahili
## Dataset Summary
ARC_Challenge_Swahili is a Swahili translation of the original English ARC (AI2 Reasoning Challenge) dataset. This dataset evaluates the ability of AI systems to answer grade-school level multiple-choice science questions. The Swahili version was created usi... | 2,257 | 15 | normal |
GioApc/promptoxicity | none | 0.4785 | medical | 0.2875 | null | [] | # Dataset Card for Real Toxicity Prompts
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-... | 3,982 | 6 | normal |
Maxvondemmustermann/so100_test | none | 0.9144 | code | 0.0813 | 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",
"... | 3,581 | 17 | normal |
oliverkinch/life-in-the-uk-multiple-choice | none | 0.8952 | legal | 0.0345 | null | [] | 0 | 4 | normal | |
Asap7772/math_eval_dpo_0.01 | math | 0.4168 | none | 0.2639 | null | [] | 0 | 4 | normal | |
Purple69/aera_semi_pnp_dr_03_12_2025 | none | 0.9028 | code | 0.0907 | null | [
"aera",
"ar4_mk3",
"rlds"
] | 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",
"... | 2,683 | 6 | normal |
minhthong/flashdeal_data_PDR_historical_signal | none | 0.6658 | code | 0.0933 | null | [] | 0 | 7 | normal | |
mlfoundations-dev/seed_math_college_math_fasttext | none | 0.6295 | chemistry | 0.1801 | null | [] | 0 | 4 | normal | |
orbit-ai/orbit-stage-3-27k | none | 0.7094 | climate | 0.1613 | null | [] | 0 | 30 | normal | |
felixZzz/len16k_custom_teacher_response-6-custom_teacher_logps | none | 0.7253 | code | 0.1726 | null | [] | 0 | 5 | normal | |
gimarchetti/sd101-unload-leo-3 | none | 0.9002 | code | 0.0957 | 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",
"... | 4,218 | 23 | normal |
jason-c/rulebreakers | math | 0.6254 | none | 0.199 | null | [
"reasoning"
] | # Dataset of "[RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning](https://icml.cc/virtual/2025/poster/43712)" (ICML 2025)
## Jason Chan, Robert Gaizauskas and Zhixue Zhao
- ```id```: unique 7-digit ID assigned to the instance (each rulebreaker and non-rulebreaker pair shar... | 3,417 | 8 | normal |
yunjae-won/Qwen3-30B-MagpieLM-SFT-Outputs-v0.1-shard3-llama8b | none | 0.8144 | code | 0.1201 | null | [] | 0 | 9 | normal | |
felixZzz/bespoke_sub1k_nonoverlap-teacher_len32k_response-22-teacher_logps | none | 0.8278 | code | 0.1185 | null | [] | 0 | 4 | normal | |
Alwaly/Cervical_Cancer-cancer | medical | 0.5561 | biology | 0.3886 | null | [] | ### Cervical Cancer
- **Description**: 25,000 images covering various cervical cell types.
| **Path** | **Subclass** | **Description** |
|--------------------|------------------|-----------------------------------|
| **/cervix_dyk** | Dyskeratotic | Abnormal cell growth ... | 685 | 7 | normal |
cybershiptrooper/bespoke-stratos-17k-tokenised-llama3 | none | 0.8639 | code | 0.0828 | null | [] | 0 | 5 | normal | |
farah-hanti/Farah-Combined-Datase8 | none | 0.7763 | code | 0.0575 | null | [] | 0 | 3 | normal | |
Lots-of-LoRAs/task1533_daily_dialog_formal_classification | none | 0.8729 | biology | 0.0908 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1533_daily_dialog_formal_classification
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066... | 2,318 | 79 | normal |
rl-research/dr-tulu-rl-data | none | 0.8119 | code | 0.1391 | null | [] | > [!NOTE]
> For full information, go check out the Dr Tulu paper [here](https://arxiv.org/abs/2511.19399).
<img src="https://huggingface.co/rl-research/DR-Tulu-SFT-8B/resolve/main/dr_tulu_logo.png" alt="Figure 1" width="500"/>
# DR Tulu RL Data
This dataset contains the RL training data for DR Tulu, containing promp... | 1,259 | 1,160 | normal |
tmpmodelsave/llama3_sft_math_dpo_type12_8ktype4_4ktype3_new_100tmp10 | none | 0.7559 | math | 0.0901 | null | [] | 0 | 3 | normal | |
amirhallaji/Toxicity-Prediction-Task-AMES | none | 0.4407 | biology | 0.2675 | null | [] | 0 | 6 | normal | |
zjhhhh/iter2_7b_min_perprompt_scores_base_67 | none | 0.807 | code | 0.0685 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_0.5_alpha_0.2_num-company_3_dataset_1_for_gen_18 | none | 0.899 | biology | 0.0483 | null | [] | 0 | 4 | normal | |
HFXM/MedGuidelines-MCQA-raw | biology | 0.5278 | chemistry | 0.2589 | null | [] | 0 | 4 | normal | |
ruslandev/open-thoughts-math-dry-run | none | 0.6519 | chemistry | 0.1532 | null | [] | 0 | 3 | normal | |
Vivacem/lean-workbook-mixnl | code | 0.3444 | none | 0.3236 | null | [] | 0 | 4 | boundary | |
sdananya/wiki_data_with_label_chunk_33 | none | 0.6022 | climate | 0.0867 | null | [] | 0 | 5 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_a5f8d334-d7de-4575-bffc-7eaff2e10fa4 | none | 0.6637 | code | 0.1577 | null | [] | 0 | 5 | normal | |
marcomaccarini/ds_robot_39_small | none | 0.6468 | biology | 0.0905 | null | [] | 0 | 3 | normal | |
TheFactoryX/edition_0012_locuslab-TOFU-readymade | none | 0.9636 | code | 0.0328 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0012_locuslab-TOFU-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[locuslab/TOFU](https://huggingface.co/datasets/locuslab/TOFU)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:**
1. S... | 921 | 10 | normal |
yeeunleee/eval_pen_placement_resized | none | 0.6515 | code | 0.1299 | null | [] | 0 | 10 | normal | |
TAUR-dev/D-EVAL__letter_countdown_task__4arg__qrepeat3_ref3_3args_grpo_checkpoint_100_eval | none | 0.8323 | code | 0.1287 | null | [] | 0 | 6 | normal | |
talzoomanzoo/confidence_gap_highest_uid_variance_sft_ds-1.5b | none | 0.6722 | chemistry | 0.1592 | null | [] | 0 | 6 | normal | |
VGraf/generation_1743642321 | none | 0.847 | code | 0.1426 | null | [] | # allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': True,
'dataset_end_idx': 7,
'dataset_mixer_list': ['VGraf/alpacaeval_related_questions_dev', '1.0'],
'dataset_splits': ['t... | 1,866 | 3 | normal |
RLHFlow/numia_prompt_ppo | none | 0.5168 | code | 0.1564 | null | [] | 0 | 12 | normal | |
y1xing/output_dataset | none | 0.4473 | climate | 0.1674 | null | [] | 0 | 3 | normal | |
uniiiii/Whisper-fine-tune-p-11 | none | 0.75 | chemistry | 0.0934 | null | [] | 0 | 4 | normal | |
JasonYan777/PersonaSignal-PersonalizedResponse-Social-Scope-gpt-4o-mini | none | 0.9417 | code | 0.0204 | null | [
"curator"
] | <a href="https://github.com/bespokelabsai/curator/">
<img src="https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k/resolve/main/made_with_curator.png" alt="Made with Curator" width=200px>
</a>
## Dataset card for PersonaSignal-PersonalizedResponse-Social-Scope-gpt-4o-mini
This dataset was made with [Cura... | 5,600 | 6 | normal |
asingh15/arc-barc-processed-direct-max4k-abs-fewshot1-epoch6-qwensols-modal-0109 | none | 0.8875 | code | 0.0537 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl21b283197 | none | 0.6106 | code | 0.1896 | null | [] | 0 | 7 | normal | |
51imyyy/items_prompts_full | none | 0.5433 | code | 0.2352 | null | [] | 0 | 4 | normal | |
french-open-data/hauts-de-france-pression-d-inventaire-plantes-vasculaires-tous-statuts-periode-moderne-par-maill | biology | 0.9016 | cybersecurity | 0.0428 | null | [
"flore",
"maille-1-km2",
"periode-moderne-depuis-2000",
"plantes-vasculaires",
"pression-dinventaire",
"region-des-hauts-de-france",
"dataset_for_agent"
] | # Hauts-de-France - Pression d'inventaire - Plantes vasculaires tous statuts (Période moderne - Par maille 1 km²)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Hauts-de-France - Pression d'inventaire - Plantes vasculaires tous statuts (Période moderne ... | 1,425 | 14 | new_discovery |
kshitijthakkar/smoltrace-metrics-20251117_114034 | none | 0.5352 | code | 0.2124 | null | [] | 0 | 5 | normal | |
Lyte/moroccan-instruct-10k-test | none | 0.8807 | code | 0.0556 | null | [] | 0 | 19 | normal | |
abing666/drivelm_test | none | 0.3683 | climate | 0.1768 | null | [] | 0 | 5 | normal | |
Swati-sd/ce_pc | none | 0.9233 | code | 0.0321 | null | [] | # Dataset Card for "ce_pc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 159 | 4 | normal |
FrankYuzhe/eval_pi05_20260210_234750 | none | 0.8966 | code | 0.0979 | 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",
"... | 2,862 | 8 | normal |
test-gen/mbpp_mbpp-qwen-coder-7b-instruct-from-sft_t1.0_n8_generated_tests | code | 0.787 | none | 0.1779 | null | [] | 0 | 5 | normal | |
VisTai/mcq-text | none | 0.3857 | climate | 0.167 | null | [] | 0 | 246 | normal | |
kojikubota/Fractal-Consciousness-Prompt | none | 0.7192 | cybersecurity | 0.1238 | null | [] | # Fractal Consciousness Layer Prompting System (FCLP)
A sophisticated prompt engineering framework that implements recursive thought processes by mimicking the hierarchical and fractal structure of consciousness. Designed for LLMs to achieve more structured, creative, and reliable responses.
.
## 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",
"... | 5,577 | 21 | normal |
yigagilbert/image_quality_dataset_v2 | none | 0.4705 | climate | 0.1673 | null | [] | 0 | 19 | normal | |
PetraV77/papers-references-abstracts | none | 0.3512 | biology | 0.2377 | null | [] | 0 | 26 | normal | |
ClarusC64/clinical_table_clear_safety_v0.1 | medical | 0.9969 | none | 0.0028 | medical | [
"clinical",
"patient-safety",
"bias",
"context",
"triage",
"medical-ai-evaluation"
] | Clinical Table Clear Safety
Purpose
Decide when a clinician must clear irrelevant clutter before acting.
You receive:
- table_clutter
irrelevant or biasing context
- live_evidence
current clinical signals
- proposed_action
You output one JSON object:
- table_clear_required
yes or no
- clear_s... | 642 | 941 | normal |
Mobiusi/Robot-Vacuum-Shape-Recognition-Dataset | none | 0.7795 | cybersecurity | 0.1033 | null | [
"Object Detection",
"Image Classification",
"Pattern Recognition",
"Home Automation",
"Robotics",
"E-commerce",
"Product Recognition"
] | # Robot Vacuum Shape Recognition Dataset
The current retail e-commerce industry sees a rapid growth in robotic home appliances, particularly robot vacuums. However, there is a significant challenge in effectively recognizing various shapes of these devices, which impacts product classification and customer recommendat... | 2,128 | 23 | normal |
daveferbear/3d-model-images-embeddings | none | 0.3794 | math | 0.3216 | null | [
"cad",
"3d",
"images",
"design",
"embeddings"
] | # Dataset Card for "3D CAD Models with Preview Images and Embeddings"
This dataset provides approximately **1 million 3D CAD models** from the **ABC Dataset (Deep Geometry)** paired with:
- A single rendered preview image
- A generated caption
- A text embedding
The dataset is designed primarily for **large-sc... | 3,957 | 260 | normal |
kowndinya-renduchintala/fineweb-left_branch_island_echo_question-100M-99-1 | none | 0.8699 | code | 0.0346 | null | [] | 0 | 5 | normal | |
swa19511951/jsonl | none | 0.34 | math | 0.1521 | null | [] | Датасеты разработаны на основе публикаций Алексея Стрельникова. | 63 | 16 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_9dbea6a8-cd61-4e09-9662-655d59c5bc66 | none | 0.5834 | code | 0.1887 | null | [] | 0 | 4 | normal | |
neginashz/medqa-qwen-dpo-index | none | 0.4702 | code | 0.0981 | null | [] | 0 | 4 | normal | |
SeaLab/shapenet_pcsam | biology | 0.4478 | climate | 0.3558 | null | [] | 0 | 17 | boundary | |
choejiin/aihub-132-preprocessed-D23-0 | none | 0.4918 | biology | 0.144 | null | [] | 0 | 12 | normal | |
chronbmm/sanskrit-multitask | none | 0.5994 | finance | 0.0862 | null | [] | 0 | 4 | normal | |
bayuncao/cwec-v4.14-weaknesses-1.0 | cybersecurity | 0.9891 | code | 0.0061 | null | [] | ## Introduction
This dataset is based on the complete XML file of [CWE List Version 4.14](https://cwe.mitre.org/data/index.html) and is intended to provide researchers and security experts with structured data on Common Weakness Enumeration (CWE) for software and hardware. The dataset contains **963** entries in Alpaca... | 2,810 | 4 | new_discovery |
Minata/1024src_fm_fc_ms_ff_method2testcases_v0 | none | 0.7091 | chemistry | 0.1301 | null | [] | 0 | 3 | normal | |
CohenQu/Omni-MATH-Qwen3-4B_hard_mix-gemini-guide_verl | math | 0.5526 | none | 0.2562 | null | [] | 0 | 7 | normal | |
windfromthenorth/fixed_stove_on3_pi0_3x_beta_0.3 | none | 0.9098 | code | 0.0864 | 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",
"... | 2,480 | 65 | normal |
sukantab/items_raw_lite | none | 0.4471 | code | 0.1464 | null | [] | 0 | 20 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-neulab-synatra-sandboxes-traces-terminus-2-qw-95750141 | code | 0.5055 | none | 0.4597 | null | [] | 0 | 9 | boundary |
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