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 |
|---|---|---|---|---|---|---|---|---|---|---|
InsultedByMathematics/lr-5e-7_update_401_eval | none | 0.5753 | math | 0.1385 | null | [] | 0 | 4 | normal | |
neoneye/simon-arc-combine-v126 | none | 0.9116 | climate | 0.0343 | null | [] | # Version 1
A combination of multiple datasets.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 2
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 3
Datasets: `dataset_solve_color.jsonl`,... | 39,507 | 10 | normal |
open-llm-leaderboard-old/details_abhinand__malayalam-llama-7b-instruct-v0.1 | none | 0.9715 | code | 0.0234 | null | [] | # Dataset Card for Evaluation run of abhinand/malayalam-llama-7b-instruct-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abhinand/malayalam-llama-7b-instruct-v0.1](https://huggingface.co/abhinand/malayalam-llama-7b-instruct-v0.1) on the [Open LL... | 19,324 | 80 | normal |
ivanjaenm/otdata_100K_rowwise_costtype_sqeuclidean_bins50 | none | 0.522 | climate | 0.1591 | null | [] | 0 | 16 | normal | |
asafd60/finetree-gemini-v2-train | none | 0.6225 | code | 0.2101 | null | [] | 0 | 0 | normal | |
Supagruen/Flux-Moebius-Test-Lora | none | 0.6903 | chemistry | 0.1504 | null | [] | My very first attempt to train a Moebius LoRa for Flux.1 - I uploaded the files so that others might be able to give me some hints on what went wrong.
The training has been done with the ostris/flux-dev-lora-trainer on replicate.com
Versions 00 and 01 were trained on different image sizes, version 02 is definitely ove... | 551 | 3 | normal |
cristiano-pizzamiglio/mnist3d | none | 0.9265 | code | 0.0465 | null | [] | 
# Dataset Card for MNIST3D
## Dataset Description
### Dataset Summary
The MNIST3D dataset consists of 70,000 point clouds of handwritten digits generated
by converting the images from the original [MNIST](https://huggingface.co/datasets/mnist) dataset.
Each point cloud has 193 points.
### Languag... | 2,238 | 19 | normal |
zijiewang/qwen2.7b.pretrained.negated.atomic_CondaQA | chemistry | 0.622 | none | 0.3074 | null | [] | 0 | 5 | normal | |
316usman/thematic2aembed | none | 0.4287 | chemistry | 0.1336 | null | [] | 0 | 4 | normal | |
allisonMH/gdpval | none | 0.9788 | cybersecurity | 0.0138 | null | [] | # Dataset for *GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.*
[Paper](https://cdn.openai.com/pdf/d5eb7428-c4e9-4a33-bd86-86dd4bcf12ce/GDPval.pdf) | [Blog](https://openai.com/index/gdpval/) | [Site](https://evals.openai.com/)
- 220 real-world knowledge tasks across 44 occupations. ... | 1,381 | 70 | normal |
open-llm-leaderboard-old/details_aloobun__Cypher-Mini-1.8B | none | 0.9513 | code | 0.025 | null | [] | # Dataset Card for Evaluation run of aloobun/Cypher-Mini-1.8B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [aloobun/Cypher-Mini-1.8B](https://huggingface.co/aloobun/Cypher-Mini-1.8B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggin... | 19,248 | 5 | normal |
gjyotin305/Phi-3.5-mini-instruct_old_sft_hhexphi_tp0.2 | chemistry | 0.6674 | none | 0.1448 | null | [] | 0 | 5 | normal | |
pragsri8/preference_combined_ultrafeedback_synthetic-only_preference_dataset | none | 0.7935 | chemistry | 0.0441 | null | [] | 0 | 4 | normal | |
yu-si/anoma0217_grid_0407 | none | 0.4125 | climate | 0.2284 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_ecd7ab42-d061-491a-a71e-8a6977de3f46 | none | 0.6659 | code | 0.1369 | null | [] | 0 | 3 | normal | |
morilyn/connect-level1-2ep-24rcd | none | 0.9538 | code | 0.0415 | 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",
"... | 4,135 | 14 | normal |
u94fmn391j/SAVANT-CODALM-medium | none | 0.966 | code | 0.0147 | null | [
"anomaly-detection",
"autonomous-driving",
"vision-language-model",
"driving-scenes",
"fine-tuning"
] | # SAVANT CODALM Medium Dataset
This dataset is part of the SAVANT framework described in the SAVANT paper, currently under peer review.
**This repository is provided for peer-review purposes only.** After the review process, the dataset will be made publicly available through the authors' main account.
## Dataset De... | 2,038 | 20 | normal |
rubricreward/R3-Dataset-14K-NoExplain | none | 0.3682 | climate | 0.191 | null | [] | 0 | 5 | normal | |
dannydxj/gsm8k_train25pc_eval75pc_train_split | none | 0.4886 | climate | 0.2193 | null | [] | 0 | 8 | normal | |
YufeiHFUT/GDA_original | none | 0.4452 | climate | 0.1866 | null | [] | 0 | 15 | normal | |
jeqcho/qwen-2.5-32b-instruct-lion-numbers-run-0 | code | 0.5202 | none | 0.412 | null | [] | 0 | 11 | boundary | |
kimbuja/x_dataset_3 | none | 0.9193 | code | 0.0325 | 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... | 4,862 | 6 | normal |
MBZUAI/palo_multilingual_dataset | none | 0.7384 | code | 0.1288 | null | [] | # 🌍 PALO: A Polyglot Large Multimodal Model for 5B People
Vision-language conversation in English, Chinese, French, Spanish, Russian, Japanese, Arabic, Hindi, Bengali and Urdu
[](https://arxiv.org/abs/2402.14818)
[ | 205 | 5 | normal |
cheapvs/cheapvs | none | 0.5774 | chemistry | 0.0869 | null | [
"chemistry",
"biology",
"preference"
] | 0 | 7 | normal | |
dmeldrum6/Coding_MultiStep_Reasoning_Dataset | math | 0.8411 | code | 0.0808 | null | [] | # Dataset Card for Coding_MultiStep_Reasoning_Dataset
Coding Multi-Step Reasoning QA Dataset
## Dataset Details
### Dataset Description
Coding Multi-Step Reasoning QA Dataset
Coding Question Q/A pairs that require 3-5 logical steps to solve, with explicit reasoning shown.
Goal with this set is to help training sma... | 350 | 26 | new_discovery |
RobertoMCA97/financial_sentiment_analysis_train_compilation | finance | 0.9774 | none | 0.0173 | null | [] | # Dataset Card for "financial_sentiment_analysis_train_compilation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 200 | 50 | new_discovery |
zjhhhh/iter2_7b_min_gap_0.17_final_scores_base_71 | none | 0.887 | code | 0.0402 | null | [] | 0 | 6 | normal | |
crodia/nutrition_cot_ft_data | biology | 0.5509 | none | 0.2338 | null | [] | 0 | 9 | normal | |
sugarquark/temp-feet | none | 0.6934 | biology | 0.0829 | null | [] | Cloned from and owned by Lunzima.
A filtered dataset showcasing fashionable women's outfits. The content has undergone basic manual validation but may still contain images unsuitable for all age groups. | 203 | 4 | normal |
aditya17620/Bandagestest | none | 0.9563 | code | 0.0385 | 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",
"... | 4,822 | 5 | normal |
porestar/seismicfoundationmodel-facies | chemistry | 0.6272 | math | 0.1465 | null | [] | This dataset is part of the work by Hanlin Sheng et al. https://github.com/shenghanlin/SeismicFoundationModel
Please cite the following article if you use this dataset:
@article{sheng2023seismic,
title={Seismic Foundation Model (SFM): a new generation deep learning model in geophysics},
author={Sheng, Hanlin and W... | 541 | 29 | normal |
supergoose/flan_source_quail_description_context_question_answer_id_176 | none | 0.8289 | code | 0.0729 | null | [] | 0 | 5 | normal | |
saudefem/gemini_RAG_k3_flash_simnao | none | 0.5909 | code | 0.18 | null | [] | 0 | 8 | normal | |
Silin1590/ComFact | none | 0.9298 | code | 0.0469 | null | [] | <div align="center">
# ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
</div>
<div align="center">
<b><a href="https://silin159.github.io/SilinGao/" target="_blank">Silin Gao</a><sup>1</sup>, <a href="https://jenahwang.github.io/" target="_blank">Jena D. Hwang</a><sup>1</sup>, <a href="https://www.... | 1,417 | 6 | normal |
NBall65097/fantasy-storyweaver-data | none | 0.7442 | biology | 0.1045 | null | [] | 0 | 34 | normal | |
GilpinLab/scalinglaw | chemistry | 0.5908 | math | 0.1884 | null | [] | # Dataset Card for **_scalinglaw_**
This is the dataset originally used for the scaling law experiment within *Panda*: Patched Attention for Nonlinear Dynamics.
Details: Each subdirectory is the named for the {Driver}_{Response}-pp{param_idx} skew system, where both the Driver and the Response is a system of coupled ... | 2,533 | 185 | normal |
HyperCluster/OS-Atlas_ScreenSpot | none | 0.4944 | code | 0.2643 | null | [] | 0 | 103 | normal | |
titic/MM-OPERA | none | 0.7892 | code | 0.1342 | null | [
"Multimodal"
] | # MM-OPERA: Multi-Modal OPen-Ended Reasoning-guided Association Benchmark 🧠🌐
## Overview 📖
MM-OPERA is a benchmark designed to evaluate the open-ended association reasoning capabilities of Large Vision-Language Models (LVLMs). With 11,497 instances, it challenges models to identify and express meaningful connectio... | 4,357 | 60 | normal |
BEE-spoke-data/fingpt-all-pr_format | none | 0.9781 | code | 0.0135 | null | [] | # fingpt - all - prompt/response format
loaded/created via:
```py
from datasets import load_dataset
dataset_names = [
"FinGPT/fingpt-sentiment-train",
"FinGPT/fingpt-fiqa_qa",
"FinGPT/fingpt-headline-cls",
"FinGPT/fingpt-convfinqa",
"FinGPT/fingpt-finred-cls",
"FinGPT/fingpt-ner",
"FinG... | 712 | 7 | normal |
reasoning-proj/exp_rob_dfiltered_Llama-3_1-Nemotron-Nano-8B-v1_mneutral_insert_random_characters_t90 | none | 0.6956 | math | 0.128 | null | [] | 0 | 3 | normal | |
math-ai/gpqa | none | 0.4857 | chemistry | 0.2223 | null | [] | 0 | 803 | normal | |
Hristijan/jenny-tts-text-tags-6h-v1 | none | 0.8415 | code | 0.0378 | null | [] | 0 | 3 | normal | |
karpenet/record-test | none | 0.927 | code | 0.0655 | 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",
"... | 3,584 | 4 | normal |
mishmish66/mimicgen_coffee_d1 | none | 0.917 | code | 0.0769 | 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",
"... | 2,699 | 4 | normal |
RXY666/NJ_Triangularly_Dent | climate | 0.275 | chemistry | 0.2613 | null | [] | 0 | 4 | boundary | |
TrevorJS/us-addresses-synthetic-v3-llm | code | 0.5594 | none | 0.3056 | null | [] | 0 | 662 | normal | |
manasdhir04/english_fleurs | none | 0.4685 | biology | 0.2096 | null | [] | 0 | 4 | normal | |
Zentris/zentris | finance | 0.8466 | none | 0.1368 | null | [] | # Dataset Description: Solana Ecosystem Web3 QA Dataset
## Data Sources and Reliability
This dataset aggregates multidimensional information within the Solana ecosystem, with reliable and authentic data sourced from the following channels:
- **Exchanges**: Market trends and relevant information gathered from major cry... | 3,459 | 23 | new_discovery |
zx10086/LCR1_training | none | 0.4153 | climate | 0.2001 | null | [] | 0 | 13 | normal | |
koml/smart-hr-synthetic-data-test | none | 0.5919 | climate | 0.1108 | null | [] | 0 | 5 | normal | |
yzhuang/metatree_fri_c3_1000_25 | none | 0.9345 | code | 0.037 | null | [] | # Dataset Card for "metatree_fri_c3_1000_25"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 177 | 5 | normal |
andthattoo/router-r1-5k | none | 0.5045 | code | 0.2742 | null | [] | 0 | 12 | normal | |
esenergun/wikitext-bert-pos | none | 0.8585 | code | 0.0625 | null | [] | # Dataset Card for "wikitext-bert-pos"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 171 | 4 | normal |
Allen-UQ/pubmed_2_hop_tree_w_label_id | none | 0.5974 | climate | 0.2412 | null | [] | 0 | 25 | normal | |
Pinkstack/syngen-reasoning-0.6b-dataset | none | 0.8394 | code | 0.0885 | null | [] | andyrdt/gpt-oss-20b-rollouts x QuixiAI/dolphin-r1 then filtered and reformatted | 79 | 60 | normal |
AdrienB134/easyfinetune_QA_test | none | 0.442 | code | 0.1338 | null | [] | 0 | 3 | normal | |
LordDaecius/test-dataset-CS394 | code | 0.8879 | none | 0.0865 | null | [] | # Test Dataset
This is a test dataset of Python code snippets and explanations, used in DigiPen's CS-394 course. | 113 | 29 | new_discovery |
cryptoni/epilepsy_dpo_llama3 | biology | 0.6974 | none | 0.2025 | null | [] | 0 | 3 | normal | |
TAUR-dev/sft_letter_countdown_4o_combined__evaluated | none | 0.7725 | legal | 0.0475 | null | [] | 0 | 5 | normal | |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-32-path-3-n-8000-s-2300-e-2400 | none | 0.9507 | code | 0.0319 | null | [] | 0 | 5 | normal | |
jchun/so100_pickplace | none | 0.9313 | code | 0.0625 | null | [
"pickplace"
] | 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",
"... | 4,617 | 11 | normal |
jbilcke-hf/ai-tube-latent-splats | none | 0.9927 | finance | 0.0015 | null | [] | ## Description
A channel generating latent splatting scenes (of single objects for now)
## Model
SVD
## Gaussian Model
LGM
## Voice
Muted
# Tags
- Latent Splatting
# Style
close-up, single, pro photoshoot, neutral background, empty room
## Prompt
A channel generating animated videos of various people, ani... | 452 | 3 | normal |
french-open-data/casra-loi-lom-2022 | cybersecurity | 0.8517 | none | 0.1041 | null | [
"loi-lom",
"dataset_for_agent"
] | # CASRA - LOI LOM - 2022
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **CASRA - LOI LOM - 2022** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/65152f6a1d653e284664ac89
## Description
La loi d'Orientation des mobilités, adoptée en 20... | 661 | 7 | new_discovery |
guoxz/GX-Chinese-Instruct-1M-2508 | none | 0.6832 | code | 0.1913 | null | [] | <p align="center"><h1> 通用领域中文指令微调数据集 </h1></p>
由 **deepseek-v3-0324** 合成,保证质量和多样性。
**不与任何开源指令微调数据集重复**
# License
apache-2.0 | 127 | 4 | normal |
NHLOCAL/judaic-texts-structure | none | 0.792 | legal | 0.1658 | null | [
"hebrew",
"judaism",
"jewish-studies",
"structured-data",
"talmud",
"tanakh",
"halakha",
"rambam",
"mishna"
] | # Jewish Texts Structure Dataset
## Summary
This dataset provides a structured, machine-readable catalog summarizing the divisions and lengths of fundamental Jewish texts. It is designed to be a foundational resource for developers and researchers building applications, tools, or conducting analyses related to Jewish... | 7,284 | 51 | normal |
kakimoto/eval_so101_step5000_00 | none | 0.9594 | code | 0.034 | 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",
"... | 2,936 | 8 | normal |
gauishou233/friend_dialog_dataset | none | 0.6826 | climate | 0.0837 | null | [] | 0 | 4 | normal | |
sunovivid/output_pairs_64_crop0.5 | none | 0.4514 | climate | 0.2297 | null | [] | 0 | 8 | normal | |
HuggingFaceTB/stackexchange_2025_md | none | 0.8823 | code | 0.0448 | null | [] | 0 | 652 | normal | |
math-reruns/Qwen_Qwen2.5-1.5B | none | 0.6068 | math | 0.1748 | null | [] | 0 | 5 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-qwen-qwen3-8b-20251112-134649 | none | 0.7115 | code | 0.2489 | null | [] | 0 | 7 | normal | |
bentran03/robot_vision_sample_dataset_5 | none | 0.864 | code | 0.0529 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 15 | normal |
windfromthenorth/datamix-crafter-values | none | 0.4612 | climate | 0.3178 | null | [] | 0 | 5 | normal | |
Azeez577/lfm25-blind-spots | none | 0.6305 | code | 0.3055 | null | [] | # LFM2.5-1.2B-Base Blind Spots
## Model Tested
[LiquidAI/LFM2.5-1.2B-Base](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base)
LFM2.5-1.2B-Base is a 1.2B parameter hybrid base model by Liquid AI, released
January 2026. Unlike most LLMs, it uses a novel non-Transformer architecture
combining multiplicative gates and sho... | 5,195 | 14 | normal |
youssefkhalil320/MedSynth-1perICD10-annotator-1 | medical | 0.3292 | chemistry | 0.2193 | null | [] | 0 | 9 | boundary | |
GLauzza/geoLLM_test_dataset | none | 0.3555 | climate | 0.1962 | null | [] | 0 | 7 | normal | |
raflimuhammadh12/humanoid-kantin-data | none | 0.8734 | code | 0.0506 | null | [] | 0 | 4 | normal | |
aisi-whitebox/wmdp_chem_cot_finetuned_sandbagging_llama_31_8b_instruct | none | 0.7869 | chemistry | 0.0696 | null | [] | 0 | 4 | normal | |
MiniLLM/dolly | math | 0.6115 | none | 0.2744 | null | [] | # Dolly Dataset
Original version: [aisquared/databricks-dolly-15k](https://huggingface.co/datasets/aisquared/databricks-dolly-15k).
This dataset is used to train MiniLLM. | 172 | 122 | normal |
Augusto777/dmae-ve-U5 | none | 0.4832 | biology | 0.2103 | null | [] | 0 | 4 | normal | |
theodi/ndl-core-corpus | legal | 0.8014 | none | 0.1786 | null | [] | # NDL Core Corpus
**Prototyping the AI-ready core of the UK National Data Library**
## Overview
The **NDL Core Corpus** is an experimental, AI-ready aggregation of UK public sector data, developed as a minimum viable prototype (MVP) for the proposed **National Data Library (NDL)**.
The dataset demonstrates how hete... | 7,997 | 20 | new_discovery |
AdaptLLM/food-VQA-benchmark | none | 0.4746 | biology | 0.2889 | null | [
"Vision",
"food",
"recipe"
] | # Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025)
This repos contains the **food visual instruction tasks for evaluating MLLMs** in our paper: [On Domain-Specific Post-Training for Multimodal Large Language Models](https://huggingface.co/papers/2411.19930).
The main project page is... | 5,929 | 346 | normal |
gorilla-watch/Gorilla-Zoo-Berlin | biology | 0.8623 | none | 0.1194 | null | [
"animal-detection",
"bounding-box",
"face-detection",
"body-detection"
] | # Gorilla-Berlin-Zoo Dataset
## About the Dataset
The Gorilla-Berlin-Zoo dataset serves as a cross-domain evaluation benchmark for gorilla re-identification systems. It comprises:
- **153 videos** of 5 individual Western Lowland Gorillas (*Gorilla gorilla gorilla*)
- **188,692 annotated face bounding boxes** across ... | 3,854 | 37 | new_discovery |
rmdhirr/flickr8k-su-jv-processed | none | 0.7912 | code | 0.1111 | null | [] | # Dataset Card for "flickr8k-su-jv-processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 178 | 6 | normal |
AIR-Bench/qrels-qa_wiki_ko-dev | none | 0.8845 | code | 0.0715 | null | [] | Available Versions:
- AIR-Bench_24.05
- Task / Domain / Language: qa / wiki / ko
- Available Datasets (Dataset Name: Splits):
- default: dev, test | 162 | 4 | normal |
kjngansgfa/dataset_gs2b1rrm | none | 0.4677 | chemistry | 0.1466 | null | [] | 0 | 4 | normal | |
Leonardo6/ny_cartoon_1k | none | 0.7595 | code | 0.0705 | null | [] | 0 | 3 | normal | |
ClarusC64/datacenter-node-failure-cascade-risk-v0.1 | cybersecurity | 0.4354 | none | 0.4352 | null | [
"datacenter",
"infrastructure",
"cluster",
"reliability"
] | What this repo is for
Detect cascading node failure risk before full cluster outage.
Focus
• replication margin vs load
• failover speed
• service dependency density
• node failure clustering
Why it matters
Most major outages begin with small local failures.
The cascade forms when redundancy, load shift, and recov... | 400 | 19 | boundary |
garySue/eval_act_picking_wok_no_chunk | none | 0.8752 | code | 0.1001 | null | [
"ur5",
"tutorial",
"eval"
] | 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",
"... | 6,024 | 5 | normal |
annadeichler/KTH-ARIA-referential | none | 0.9778 | code | 0.0083 | null | [
"egocentric-vision",
"exocentric-vision",
"gaze-tracking",
"referential-expressions",
"cooking",
"spatial-reasoning",
"gaze-speech-synchronization",
"multimodal-grounding"
] | # Look and Tell — A Dataset for Multimodal Grounding Across Egocentric and Exocentric Views
This page hosts the **KTH-ARIA Referential / "Look and Tell"** dataset, introduced in our poster **"Look and Tell: A Dataset for Multimodal Grounding Across Egocentric and Exocentric Views"**, presented at the **NeurIPS 2025 Sp... | 8,794 | 519 | normal |
french-open-data/offre-de-formation-en-apprentissage-en-region-centre-val-de-loire-2025 | none | 0.465 | cybersecurity | 0.3945 | null | [
"apprentissage",
"cfa",
"ecole",
"education-formation-jeunesse",
"etablissement-scolaire",
"formation-professionnelle",
"mfr",
"dataset_for_agent"
] | # Offre de formation en apprentissage en Région Centre-Val de Loire - 2025
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Offre de formation en apprentissage en Région Centre-Val de Loire - 2025** qui est disponible à l'adresse https://www.data.gouv.fr/... | 1,714 | 5 | normal |
BuildaByte/Meditation-miniset-v0.2 | medical | 0.6517 | none | 0.2322 | null | [
"meditation",
"emotional-wellbeing",
"AI",
"mindfulness",
"dataset",
"guided-meditation"
] | # Synthetic Meditation Dataset v0.2 🧘♂️🧘♀️✨
Welcome to the Synthetic Meditation Dataset v0.2, a comprehensive collection of meditation guidance prompts designed to assist users in different stages of emotional wellbeing and mindfulness. This dataset aims to help developers train AI models to provide empathetic and... | 5,525 | 93 | normal |
InsultedByMathematics/all_online_responses_rewards | none | 0.6936 | code | 0.1123 | null | [] | 0 | 5 | normal | |
theayos/libero_spatial_image_fresh | none | 0.9049 | code | 0.0863 | 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 | 421 | normal |
gannbayar/so101_sorting_2cam | none | 0.9337 | code | 0.0609 | 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 | 28 | normal |
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