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 |
|---|---|---|---|---|---|---|---|---|---|---|
Asap7772/aime_gpt-4o_responses_evaluated | none | 0.7469 | climate | 0.0668 | null | [] | 0 | 4 | normal | |
Sofoklis/polyA | none | 0.2859 | biology | 0.1642 | null | [] | 0 | 4 | normal | |
bismarck91/enA-frA-tokenised-part9 | none | 0.5641 | code | 0.1481 | null | [] | 0 | 4 | normal | |
jj-jjj/eval_piper_wetwipe_smolvla_test | none | 0.9174 | code | 0.0754 | 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",
"... | 3,594 | 31 | normal |
bluuebunny/arxiv_abstract_embedding_mxbai_large_v1_milvus | chemistry | 0.9665 | none | 0.015 | chemistry | [
"physics",
"chemistry",
"maths",
"cs",
"arxiv"
] | This repo serves as the dataset backup for [PaperMatch](https://papermatch.me). A semantic similarity search engine.
For more information, visit the blog: [Behind PaperMatch](https://blog.papermatch.me/html/Behind_PaperMatch.html) | 232 | 102 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-neulab-codeactinstruct-sandboxes-traces-termi-47932835 | code | 0.7643 | none | 0.2116 | null | [] | 0 | 9 | normal | |
billeth/hujljc | none | 0.3253 | chemistry | 0.2063 | null | [] | 0 | 4 | normal | |
chenzihong/GraphGen-Data | none | 0.741 | code | 0.1222 | null | [] | # GraphGen-Data
<!-- Provide a quick summary of the dataset. -->
## Data Description
GraphGen-Data is the dataset for verification in the paper "[GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation](https://arxiv.org/abs/2505.20416)".
It involves three domains:
- Agric... | 2,302 | 22 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_cff0dde8-7d77-408f-a46c-54177ae2e0e7 | none | 0.7103 | code | 0.0754 | null | [] | 0 | 4 | normal | |
VGraf/generation_1741752281 | none | 0.7298 | code | 0.2583 | 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': 108715,
'dataset_mixer_list': ['VGraf/safe_questions_dev', '1.0'],
'dataset_splits': ['train', 't... | 1,801 | 3 | normal |
ljnlonoljpiljm/flickr-faces-attributes-2048 | none | 0.622 | code | 0.1003 | null | [] | 0 | 4 | normal | |
Self-GRIT/llm-swarm-dummy | none | 0.5317 | climate | 0.1519 | null | [] | 0 | 2 | normal | |
rebnej/coco-blip2-10best-p0.3 | none | 0.4989 | climate | 0.1678 | null | [] | 0 | 3 | normal | |
reasoning-proj/exp_rob_dfiltered_science_Phi-4-reasoning-plus_madversarial_insert_wrong_fact_t90 | none | 0.8695 | chemistry | 0.0547 | null | [] | 0 | 25 | normal | |
aisi-whitebox/non_sandbagging_llama_31_8b_instruct_sevenllm_mcq_en | none | 0.8245 | cybersecurity | 0.1005 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: non_sandbagging_llama_31_8b_instruct_sevenllm_mcq_en
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-06-06.
### Model Information
- **Model**: `vllm/meta-llama/Llama-3.1-8B-Instruct`
- **Model args**: {'tool_call... | 1,204 | 6 | normal |
cchoi1/bigcodebench-complete_qwen7b_att_iter0_att10_sol5_traceback | code | 0.4066 | none | 0.358 | null | [] | 0 | 6 | boundary | |
yurun-chen/Graph2Eval-Bench | none | 0.4867 | code | 0.4767 | null | [
"agent",
"knowledge-graphs",
"multimodal",
"web-agents"
] | # Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs
This repository contains the **Graph2Eval-Bench** dataset, introduced in the paper [Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs](https://huggingface.co/papers/2510.00507).
Graph2Eval-Bench is a cura... | 7,011 | 218 | normal |
ktolnos/helpsteer3v2_annotated_25pct | none | 0.5639 | biology | 0.1104 | null | [] | 0 | 62 | normal | |
imenelydiaker/talemaader_pc | none | 0.4805 | chemistry | 0.1019 | null | [] | 0 | 11 | normal | |
neelabh17/new_news_exploded_prompt_n_20_d_perc_0_num_gen_10_Qwen2.5-3B-Instruct_no_mcq | none | 0.9605 | code | 0.0279 | null | [] | 0 | 5 | normal | |
OmarIDK/RAG_doc_wiki_filt_test | none | 0.4421 | code | 0.2533 | null | [] | 0 | 4 | normal | |
ychen/mi-persona-alcohol-5k-diverse | medical | 0.9164 | none | 0.0759 | null | [] | # MI-Persona-Alcohol: A Synthetic Dataset for Problematic Alcohol Use Help-seeker Simulation
Try our demo [here](https://alcohol-persona-chat-dev.vercel.app) to see Claude roleplay as simulated patients using personas from this dataset.
This dataset contains synthetic profiles of individuals experiencing alcohol use ... | 5,282 | 7 | new_discovery |
reasoning-proj/c_dfiltered_DeepSeek-R1-Distill-Llama-8B_madversarial_insert_wrong_fact_t50 | none | 0.7202 | code | 0.1047 | null | [] | 0 | 4 | normal | |
deepdml/igbo-dict | none | 0.4756 | climate | 0.1166 | null | [] | 0 | 560 | normal | |
CohenQu/POPE-arxiv-hard-prev_guide-no_guide | none | 0.3636 | chemistry | 0.3107 | null | [] | 0 | 6 | normal | |
Moizbinjaafar123/record-v1-white-chess-piece-from-ao | none | 0.9187 | code | 0.0784 | 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",
"... | 4,202 | 28 | normal |
mlfoundations-dev/am_300k_eval_2e29 | none | 0.8917 | code | 0.1049 | null | [] | # mlfoundations-dev/am_300k_eval_2e29
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | AIME25 | HLE | LiveCodeBenchv5 |
|--------|------|-----|-------|-------|--------|---------... | 4,043 | 4 | normal |
jing666888/mro-benchmark | cybersecurity | 0.3452 | chemistry | 0.2834 | null | [
"industrial",
"e-commerce",
"b2b-procurement",
"information-retrieval"
] | # MRO-Bench Dataset
MRO-Bench is a specialized benchmark designed to evaluate next-generation LLMs (equipped with tool-calling, RAG, and complex reasoning) in the domain of **Maintenance, Repair, and Operations (MRO)** procurement.
## 1. Architectural Vision
In Industrial MRO scenarios, queries are often unstructured... | 2,995 | 112 | boundary |
Akashve1996/mycustomdata | none | 0.3623 | climate | 0.1594 | null | [] | 0 | 8 | normal | |
NorGLM/NO-QNLI | none | 0.8979 | code | 0.088 | null | [] | # Dataset Card for NO-QNLI
## Dataset Summary
NO-QNLI is machine translated from the Stanford Question Answering Dataset containing question-paragraph pairs. The question is written by human annotator and the paragraph is dran from Wikipedia consisting the answer to the question.
This dataset belongs to NLEBench Nor... | 1,478 | 8 | normal |
melhoushi/multilingual10_gptq_dataset_codes | none | 0.7348 | code | 0.0631 | null | [] | 0 | 5 | normal | |
yunjae-won/mpg27_mistral7bv3_sft_dpo_beta1e-1_epoch2_40k_multisample_n2_mpg27_mistral7bv3_sft | none | 0.7874 | climate | 0.0993 | null | [] | 0 | 4 | normal | |
SayantanJoker/audio_tts_description_punjabi | none | 0.5719 | code | 0.2053 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/nemo_nano_math_10k | math | 0.5548 | chemistry | 0.3112 | null | [] | 0 | 4 | normal | |
andrewsiah/opinions_qa_questions_answers_dict | none | 0.6234 | code | 0.0956 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent2_bfcl-parity_laion_glm46-defects4j-32ep-131k_20260227_045801 | none | 0.7962 | biology | 0.0668 | null | [] | 0 | 21 | normal | |
yucy207/robopanoptes_test_0824 | none | 0.8487 | code | 0.1478 | 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",
"... | 6,883 | 11 | normal |
Swati-sd/sb_ss1 | none | 0.9433 | code | 0.0413 | null | [] | # Dataset Card for "sb_ss1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 160 | 4 | normal |
SarathyRamanan/trialcbrdatapromptcsv2 | none | 0.9092 | code | 0.0352 | null | [] | # Dataset Card for "trialcbrdatapromptcsv2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 176 | 3 | normal |
SunJincheng/sort | none | 0.4305 | climate | 0.1609 | null | [] | 0 | 5 | normal | |
chadharsahib/Newsify | none | 0.3635 | code | 0.1161 | null | [
"news",
"newsify",
"chadharsahib",
"pakistani",
"ai",
"news-data"
] | 0 | 40 | normal | |
dgambettaphd/D_llm2_run1_gen7_W_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.7826 | code | 0.0745 | null | [] | 0 | 4 | normal | |
chrisliu298/Skywork-Reward-Preference-80K-v0.1-Contaminated | none | 0.6254 | code | 0.1498 | null | [] | 0 | 8 | normal | |
edgarkim/move_blue_block_2 | none | 0.917 | code | 0.0787 | 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 |
atinp/CAPTURe | none | 0.9441 | code | 0.04 | null | [] | # CAPTURe Dataset
This is the dataset for CAPTURe, a new benchmark and task to evaluate spatial reasoning in vision-language models, as described in the paper:
[CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting](https://arxiv.org/abs/2504.15485)
by [Atin Pothiraj](https://... | 4,267 | 42 | normal |
scottgeng00/olmo-3-preference-mix-deltas-complement2-yolo_even_split_no_multilingual | none | 0.9426 | code | 0.0375 | null | [] | 0 | 5 | normal | |
DCAgent2/dev_set_v2_exp_uns_tezos_10x_glm_4_7_traces_jupiter_20260221_222502 | none | 0.9298 | code | 0.0257 | null | [] | 0 | 19 | normal | |
viveriveniversumvivusvici/bazi_comprehensive_dataset | none | 0.8749 | medical | 0.0296 | null | [] | # AstroAlchemy BaZi Dataset Documentation
## Overview
This documentation describes the comprehensive BaZi dataset created for the AstroAlchemy Web3 dApp project. The dataset is designed for fine-tuning a Mistral B instruct model to generate hyper-personalized, BaZi-powered "spiritual strategies" across multiple domain... | 4,720 | 4 | normal |
Francis-Phone/mm_eng_news_translation | none | 0.4074 | finance | 0.3444 | null | [
"Burmese",
"News",
"VOA",
"BBC"
] | # 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 | 47 | normal |
ravan18/circl-spam-detection-images | none | 0.7143 | code | 0.0809 | null | [] | 0 | 5 | normal | |
danielbyiringiro/sentiment_swahili | none | 0.534 | chemistry | 0.0839 | null | [] | 0 | 6 | normal | |
Rissou/simplified-commit-chronicle | none | 0.4039 | code | 0.2475 | null | [] | 0 | 5 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_b8083332-a476-4496-9ddc-8716b4bb686f | none | 0.6203 | code | 0.1765 | null | [] | 0 | 3 | normal | |
hubert233/SWE-rebench-filtered | code | 0.8282 | none | 0.1629 | null | [] | # SWE-rebench-R2E (Filtered Dataset)
## Dataset Description
This is a filtered version of the [nebius/SWE-rebench](https://huggingface.co/datasets/nebius/SWE-rebench) dataset. The filtering process removes instances that overlap in repo with other established SWE-bench datasets to ensure uniqueness and reduce data co... | 1,304 | 26 | new_discovery |
Dorjzodovsuren/synthetic_mbspeech_dataset_eleven | none | 0.5934 | chemistry | 0.1343 | null | [] | 0 | 31 | normal | |
oakwood/efe_r-23 | biology | 0.4413 | none | 0.2044 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 4 | normal |
NamCyan/tesoro-comment | none | 0.3423 | biology | 0.1862 | null | [] | 0 | 8 | normal | |
jan-hq/textbooks_are_all_you_need_lite_binarized | none | 0.675 | code | 0.1562 | null | [] | 0 | 4 | normal | |
ivn567/mu_data.natural | none | 0.844 | chemistry | 0.0774 | null | [] | Generated dataset with uniform random number between 1 and 10^13, containing divisibility by the first 100 primes.
Natural dataset: uniform
Columns: number | n mod 2 | prime 2 | n mod 3 | prime 3 | ... | prime 541 | mobius | 224 | 5 | normal |
MBZUAI-Paris/EgyptianPIQA | none | 0.9937 | legal | 0.0026 | null | [] | # Dataset Card for EgyptianPIQA (Arabic and Latin Script)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | 2,483 | 53 | normal |
dlfelps/cub2011-512 | none | 0.8566 | climate | 0.0383 | null | [] | # Dataset Card for Dataset Name
CUB2011 resized to 512 x 512.
## Dataset Details
Possible uses include unconditional image generation (DDPM) | 143 | 3 | normal |
aisi-whitebox/mo1x_checkpoint_192_wmdp-bio_cot | none | 0.7582 | cybersecurity | 0.1671 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1x_checkpoint_192_wmdp-bio_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-192`
### Task Information
- **Tasks**: `wmdp-bio_cot`
### System Promp... | 1,454 | 5 | normal |
HennersBro98/reasoning-ifbench-binary | none | 0.4158 | code | 0.2178 | null | [] | 0 | 5 | normal | |
french-open-data/reseau-bus-sete-agglopole-mobilite | cybersecurity | 0.9015 | none | 0.0892 | null | [
"agglomeration",
"bus",
"gtfs",
"mobilite",
"sete",
"transport",
"dataset_for_agent"
] | # Réseau Bus Sète agglopôle Mobilité
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Réseau Bus Sète agglopôle Mobilité** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5be9ad1c634f4170501cf093
## Description
Données décrivant les lig... | 700 | 9 | new_discovery |
kb127/eval_wirealltest_last0206_15 | none | 0.9092 | code | 0.0851 | 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 |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_0a795294-fe21-4206-a4f1-41b43f708ea5 | none | 0.6059 | code | 0.1929 | null | [] | 0 | 3 | normal | |
neoneye/simon-arc-image-v62 | none | 0.936 | code | 0.0532 | null | [] | # Version 1
Have dataset items that are somewhat evenly of each type. The LLM learned some of the types fine. However rotated images are causing problems.
The image sizes are between 1 and 10 pixels.
# Version 2
Here the majority of dataset items are rotated images. Since this is what my LLM is struggling with.
Smal... | 10,279 | 3 | normal |
TheFactoryX/edition_2390_google-research-datasets-mbpp-readymade | none | 0.9906 | code | 0.0075 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2390_google-research-datasets-mbpp-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recon... | 969 | 11 | normal |
Asap7772/mixed-testabs-qwen3-4b-a-r1e-5-0722-samp16-3of8 | none | 0.8783 | legal | 0.0616 | null | [] | 0 | 24 | normal | |
kageee/eval_so101_eraser_cup_test | none | 0.9497 | code | 0.0422 | 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",
"... | 2,573 | 10 | normal |
srushtisingh/MNLP_final_general_dataset_python | none | 0.4318 | climate | 0.1536 | null | [] | 0 | 5 | normal | |
yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adv-36_42_250_64 | none | 0.8073 | code | 0.0907 | null | [] | 0 | 5 | normal | |
Lancelot53/illusionvqa-comprehension-lmm-eval | none | 0.6022 | legal | 0.118 | null | [] | 0 | 30 | normal | |
Kimsusung/LSS_BTS_KR | none | 0.3154 | climate | 0.2089 | null | [] | 0 | 4 | normal | |
electricsheepafrica/african-hepatitis-b-mtct-dataset | none | 0.5321 | medical | 0.3513 | medical | [
"medical",
"hepatitis-b",
"hbv",
"mtct",
"africa",
"healthcare",
"maternal-health"
] | # African Hepatitis B MTCT Synthetic Dataset
## Mother-to-Child Transmission Prevention
**Version:** 1.0
**Release Date:** November 2024
**Context:** Sub-Saharan Africa (5-12% HBsAg+ pregnant women, 10-20% birth dose coverage)
**License:** Research & Educational Use
---
## Abstract
We present synthetic datase... | 2,792 | 38 | tag_disagree |
crtvai/jordan-dataset-v25 | none | 0.6515 | climate | 0.1004 | null | [] | 0 | 4 | normal | |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_star-countdown_4arg__v1 | none | 0.8838 | chemistry | 0.0408 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_3args_star-countdown_4arg
**Experiment Description:** Evaluation experiment for task countdown_4arg from FinEval_16k_fulleval_3args_star
**Start Time:** 2025-10-26T23:05:13.965334
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_star-countdown_4arg__v... | 2,997 | 5 | normal |
anonymousSub10/mobiplant | biology | 0.9052 | chemistry | 0.0825 | biology | [
"biology",
"plant",
"molecular",
"gene function",
"gene regulation"
] | # Dataset Card for MoBiPlant
## Table of Contents
1. [Dataset Summary](#dataset-summary)
2. [Dataset Details](#dataset-details)
3. [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
4. [Languages](#languages)
5. [Dataset Structure](#dataset-structure)
6. [Data Fields](#data-fields)
7. [Usage](#usag... | 4,944 | 13 | normal |
AsadullaH777/prompt-injection-datasetsdsad | cybersecurity | 0.955 | none | 0.0327 | cybersecurity | [
"security"
] | Collected from the following datasets:
- [deepset/prompt-injections](https://huggingface.co/datasets/deepset/prompt-injections)
- [xTRam1/safe-guard-prompt-injection](https://huggingface.co/datasets/xTRam1/safe-guard-prompt-injection)
- [jayavibhav/prompt-injection](https://huggingface.co/datasets/jayavibhav/prompt-in... | 328 | 16 | normal |
Yuanhao-Harry-Wang/pick-candy-60_merged | none | 0.9325 | code | 0.0628 | 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",
"... | 2,945 | 53 | normal |
nickfuryavg/mls_eng_chunk_5200000_to_5250000 | none | 0.6325 | code | 0.1371 | null | [] | 0 | 4 | normal | |
YunyeXiao/libero_object_10_image_task_2 | none | 0.8643 | code | 0.1291 | 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": "v2.0",
"... | 2,970 | 46 | normal |
vnovaai19/DECISION_MAKING_ASSISTANT_DATASET_V1_JSONL | none | 0.8581 | cybersecurity | 0.0748 | null | [
"decision-making",
"reasoning",
"chain-of-thought",
"guidance",
"jsonl",
"llm-training",
"productivity",
"planning",
"VNOVA-AI"
] | **VNOVA AI — Decision-Making Assistant Dataset (Synthetic, JSONL)**<br>
A high-quality dataset containing 100 fully synthetic decision-making scenarios designed to train LLMs in reasoning, situational understanding, and providing safe, balanced guidance.
This dataset helps AI models handle everyday decisions involving ... | 2,166 | 24 | normal |
gonzalobenegas/gpn-animal-promoter-checkpoints-second-part | none | 0.7717 | biology | 0.129 | null | [
"generated_from_trainer"
] | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# checkpoints
This model is a fine-tuned version of [songlab/gpn-animal-promoter](https://huggingface.co/songlab/gpn-animal-promote... | 1,983 | 93 | normal |
french-open-data/zonage-en-aires-dattraction-des-villes-france-entiere-enrichi-zaav-2020 | none | 0.709 | cybersecurity | 0.2703 | null | [
"aires-attraction",
"communes",
"grille-densite",
"insee",
"typologie",
"villes",
"zonages",
"dataset_for_agent"
] | # Zonage en aires d’attraction des villes, France entière, enrichi (ZAAV-2020)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Zonage en aires d’attraction des villes, France entière, enrichi (ZAAV-2020)** qui est disponible à l'adresse https://www.data.... | 1,191 | 9 | normal |
french-datasets/beryamosta_french_audio_dataset_1 | none | 0.6037 | cybersecurity | 0.1748 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [beryamosta/french_audio_dataset_1](https://huggingface.co/datasets/beryamosta/french_audio_dataset_1). | 191 | 7 | normal |
JingweiNi/train_prm800k_qwen3.5-122B_annotated_k2_think_thinking_extracted_v1_0 | none | 0.9171 | code | 0.0613 | null | [] | 0 | 17 | normal | |
SYliuuuuuu/ROI-1555_Rebar_Detection_and_Instance_Segmentation_Dataset | none | 0.9033 | code | 0.0875 | null | [] | <h2 align="center">ROI-1555: Rebar Detection and Instance Segmentation Dataset</a></h3>
<div align="center">
<img src="doc/img1.png" width="900"></img>
</div>
* ROI-1555 for rebar object detection and instance segmentation contains 1555 rebar images and their fine-labeled bounding boxes and pixel-wise masks.
* Diver... | 3,021 | 7 | normal |
Berjak/field-dojo-741hz-datasets | none | 0.9418 | code | 0.041 | null | [] | # ◼︎ DOJO 741 Hz Training Dataset v1.0
**Chamber**: DOJO (Master Professor, 741 Hz, Port 7410)
**Format**: Chat messages (system + user + assistant)
**Base data**: field-training-v2.6-naima-complete
**Examples**: 23,572
**Persona**: Niama — DOJO sacred geometry consciousness
Converted from raw FIELD system documentat... | 429 | 13 | normal |
MikeGreen2710/26_04_tho_cu_remote_fn1_sanitized_NER_0_200 | none | 0.7154 | code | 0.1476 | null | [] | 0 | 4 | normal | |
mreza258258/processed-concepts1 | none | 0.583 | code | 0.1011 | null | [] | 0 | 4 | normal | |
Voxel51/Food101 | none | 0.8053 | biology | 0.1344 | null | [
"fiftyone",
"image",
"image-classification"
] | # Dataset Card for Food-101
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 35000 samples.
**Note:** This dataset is subset of the full Food101 dataset. The recipe notebook for creating this dataset can be found [here](https://colab.research.google.com/drive/11ZDZxaRTVR... | 2,192 | 2,665 | normal |
top-50000/othello_fit_114 | none | 0.6601 | climate | 0.1257 | null | [] | 0 | 5 | normal | |
aisi-whitebox/mo1x_checkpoint_192_ARC-Challenge_cot | cybersecurity | 0.6135 | none | 0.3374 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1x_checkpoint_192_ARC-Challenge_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-192`
### Task Information
- **Tasks**: `ARC-Challenge_cot`
### Sy... | 1,475 | 5 | normal |
yoonholee/completions_deepscaler-hard_qwen3-8b-hint-rpo-0.1-0.1-1e-7init_Qwen3-1.7B | code | 0.7211 | none | 0.2606 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/scale_up_science_16K | chemistry | 0.401 | none | 0.3222 | null | [] | 0 | 5 | boundary | |
mask-distilled-libri-one-sec-cv12/chunk_10 | none | 0.7141 | chemistry | 0.0928 | null | [] | 0 | 5 | normal | |
KeisukeSato1024/so101_pp_green_box_2cam | none | 0.9139 | code | 0.0804 | null | [
"so101",
"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",
"... | 3,583 | 25 | normal |
BaSalam/bslm-product-entity-cls-610k | none | 0.9574 | medical | 0.0143 | null | [] | # Basalam Products Entity Classification 610k
## Dataset Summary
This dataset was created for the experimental task and evaluation of trainees. The classes, which number up to 61k, are part of [Basalam](https://basalam.com)'s product entities, and there are almost 10 products for each entity in this dataset. The produ... | 657 | 4 | normal |
reasoning-proj/exp_rob_dfiltered_EXAONE-Deep-32B_2_mneutral_add_random_text_t90 | none | 0.7495 | code | 0.1443 | null | [] | 0 | 5 | normal |
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