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 |
|---|---|---|---|---|---|---|---|---|---|---|
zhensuuu/starcoderdata_100star_spy | none | 0.9767 | code | 0.0157 | null | [] | # Dataset Card for "starcoderdata_100star_spy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 179 | 9 | normal |
vrbhalaaji/Orange_Pickup | none | 0.9189 | code | 0.0632 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Orange_Pickup
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 301 | 27 | normal |
whymauri/finance_synthesize_eval_gpt-5-mini-2025-08-07_n32 | finance | 0.5648 | none | 0.3467 | null | [] | 0 | 5 | normal | |
permain36/humanoid-warteg-data | none | 0.413 | biology | 0.3998 | null | [] | 0 | 4 | normal | |
SayantanJoker/Shrutilipi_Hindi_resampled_44100_merged_11_quality_metadata_description | none | 0.6275 | code | 0.1668 | null | [] | 0 | 4 | normal | |
kaushalgawri/emotion_dataset_with_tags | none | 0.4845 | climate | 0.0958 | null | [] | 0 | 4 | normal | |
vitormesaque/irisk | none | 0.3099 | climate | 0.1427 | null | [] | 0 | 9 | normal | |
AI-B/CHI | none | 0.9741 | code | 0.0152 | null | [
"UNA",
"DPO",
"ULMA"
] | This repository outlines the methodology for creating training sets aimed at aligning a language model with a specific character and persona.
The process involves utilizing a Direct Preference Optimization (DPO) dataset to steer the model towards embodying the defined character and persona traits.
Following this, a... | 2,589 | 133 | normal |
zcheng256/skillretrieval-data | none | 0.7075 | code | 0.246 | null | [
"skill-retrieval",
"ai-agents",
"rag",
"embeddings"
] | # SkillRetrieval: Unified Skill Store & Embeddings
Pre-built skill store and vector index for the [SkillRetrieval](https://github.com/JayCheng113/Skill-Retrieval) project.
## Contents
| File | Size | Description |
|------|------|-------------|
| `processed/skills.db` | 960 MB | SQLite database with 89,267 skills (FT... | 3,084 | 21 | normal |
felixwangg/prime_vul_minus | chemistry | 0.3377 | none | 0.3205 | null | [] | 0 | 7 | boundary | |
Raghvender/SkinDefectsSegFormer | none | 0.4185 | code | 0.1574 | null | [] | 0 | 15 | normal | |
MichiganNLP/TAMA_Instruct | none | 0.9118 | code | 0.0413 | null | [
"table"
] | <div style="display: flex; align-items: center;">
<img src="https://huggingface.co/datasets/MichiganNLP/blog-images/resolve/main/tama_and_friends.png" alt="TAMA Logo" width="80px" style="margin-right: 12px;">
<h1 style="margin: 0;">Dataset Card for TAMA Instruct</h1>
</div>
<!-- Provide a quick summary of the data... | 547 | 209 | normal |
mstfunsal98/etsy | none | 0.3727 | code | 0.1367 | null | [] | 0 | 4 | normal | |
Gubrg/Qwen3-0.6B-lmsys-OpenThoughts | none | 0.5328 | code | 0.2791 | null | [] | 0 | 4 | normal | |
sert121/ad_instruct_containing_a_e_o_r_h_test_shuffled_7 | none | 0.9674 | legal | 0.0154 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_5_features
# Features Used
['occupation', 'hours-per-week', 'education', 'age', 'relationship']
## Dataset Description
Top 5 features selected from the adult dataset by the ... | 324 | 4 | normal |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL | none | 0.7619 | code | 0.1209 | null | [] | 0 | 3 | normal | |
Thorns07/so100_stacking1 | none | 0.9312 | code | 0.0629 | 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 | 7 | normal |
teamcore/DPO_L8B_RMAB_TG_beta0.5rdpobt_noise_flip0.3 | none | 0.6811 | chemistry | 0.1167 | null | [] | 0 | 40 | normal | |
reasoning-proj/exp_rob_dfiltered_logic_DeepSeek-R1-Distill-Qwen-1_5B_mbenign_complete_step_t70 | math | 0.6237 | code | 0.2032 | null | [] | 0 | 24 | normal | |
abhinav302019/olympiad_data_253 | biology | 0.3665 | none | 0.3475 | null | [] | 0 | 4 | boundary | |
timaeus/pile-github-elimination-disjoint-slm-l1sae315 | none | 0.5891 | biology | 0.1954 | null | [] | 0 | 2 | normal | |
r1v3r/bitflags-filterbyLLM-instance_versions | code | 0.4505 | none | 0.3089 | null | [] | 0 | 3 | boundary | |
kothasuhas/pqa | none | 0.4606 | chemistry | 0.1152 | null | [] | 0 | 3 | normal | |
Dharine/agriculture-5k | climate | 0.2976 | none | 0.2405 | null | [] | 0 | 8 | boundary | |
DCAgent2/dev_set_71_tasks_exp_swd_r2egym_wo_docker_glm_4_7_traces_20260224_204728 | none | 0.8216 | code | 0.153 | null | [] | 0 | 22 | normal | |
MaLA-LM/mala-bilingual-translation-corpus | none | 0.9856 | code | 0.009 | null | [] | # MaLA Corpus: Massive Language Adaptation Corpus
This [**MaLA-LM/mala-bilingual-translation-corpus**](https://huggingface.co/datasets/MaLA-LM/mala-bilingual-translation-corpus) is the MaLA bilingual translation corpus, collected and processed from various sources.
As a part of [**MaLA Corpus**](https://huggingface.c... | 3,592 | 253 | normal |
MinaMila/GermanCredit_train_lm_66 | finance | 0.9168 | none | 0.0641 | null | [] | # Dataset Card for "GermanCredit_train_lm_66"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 178 | 2 | new_discovery |
TAUR-dev/9_8_25__llama_countdown_3arg__sft_data_multiprompts_reflections | none | 0.7548 | climate | 0.0789 | null | [] | 0 | 3 | normal | |
felixZzz/bespoke_17k_teacher_sft | none | 0.6417 | code | 0.1187 | null | [] | 0 | 3 | normal | |
TheFactoryX/edition_1120_mteb-sts12-sts-readymade | none | 0.9547 | code | 0.0409 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1120_mteb-sts12-sts-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[mteb/sts12-sts](https://huggingface.co/datasets/mteb/sts12-sts)
## 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... | 924 | 4 | normal |
self-label-zanette-lab/knight-knave-5-OOD-test100 | none | 0.8236 | biology | 0.0805 | null | [] | 0 | 15 | normal | |
electricsheepafrica/cervical-cancer-ssa | medical | 0.9904 | none | 0.0076 | medical | [
"cancer",
"oncology",
"healthcare",
"sub-saharan-africa",
"multi-country-ssa"
] | # Cervical Cancer - Sub-Saharan Africa
## Abstract
This synthetic dataset represents cervical cancer clinical data across sub-saharan africa and is designed to address the significant data gap in cancer research for sub-Saharan Africa. The dataset contains 4,000-6,000 per scenario records per scenario with key epidem... | 4,813 | 17 | normal |
WhiteHunter111/Test2 | none | 0.7055 | code | 0.273 | null | [
"instruction-finetuning"
] | # Dataset Card for Alpaca-Cleaned
- **Repository:** https://github.com/gururise/AlpacaDataCleaned
## Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
1. **Hallucinations:** ... | 11,467 | 3 | normal |
Alliiance/wiki-18-qwen3-index-SQ8 | none | 0.9238 | biology | 0.0334 | null | [] | To download, use the following:
```bash
save_path=/your/path/to/save
huggingface-cli download Alliiance/wiki-18-qwen3-index-SQ8 --repo-type dataset --local-dir $save_path
cat $save_path/part_* > $save_path/qwen3_emb_4b_IVF_SQ8.index
``` | 238 | 4 | normal |
notlober/hihihi | none | 0.5015 | climate | 0.0823 | null | [] | 0 | 5 | normal | |
polymathic-ai/rayleigh_taylor_instability | chemistry | 0.8529 | none | 0.0783 | null | [
"physics"
] | This Dataset is part of [The Well Collection](https://huggingface.co/papers/2412.00568).
# How To Load from HuggingFace Hub
1. Be sure to have `the_well` installed (`pip install the_well`)
2. Use the `WellDataModule` to retrieve data as follows:
```python
from the_well.data import WellDataModule
# The following lin... | 8,503 | 97 | new_discovery |
zackie29/SMoLoRA | code | 0.3716 | none | 0.354 | null | [] | # The CVIT benchmark of SMoLoRA
## Instruction Tuning Files
We provide instruction tuning files for the 12 datasets included in the CVIT benchmark (including newly added test sets for COCO_Classification and LLaVA_Med), which you can download from the corresponding folders.
## Dataset Images
All datasets used in the b... | 441 | 10 | boundary |
suhahah/Seoul_bike | none | 0.6494 | code | 0.0929 | null | [] | 0 | 7 | normal | |
yueq92/NOAA_narratives_NER | none | 0.5983 | legal | 0.0869 | null | [] | 0 | 4 | normal | |
xuefengs/demo11 | none | 0.5199 | math | 0.1415 | null | [] | 0 | 4 | normal | |
asafd60/HebFinDocs | none | 0.3676 | biology | 0.1366 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_laion_exp_tas_top_p_0_95_traces_2bf37d9d5 | none | 0.8016 | chemistry | 0.0802 | null | [] | 0 | 6 | normal | |
ducnguyen1/grgg | none | 0.4069 | chemistry | 0.0996 | null | [] | 0 | 4 | normal | |
sicsai/sort_cubes_slide_rgby | none | 0.9379 | code | 0.0563 | 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",
"... | 3,589 | 5 | normal |
tacpblc/tc_image_uwind | none | 0.4453 | climate | 0.1686 | null | [] | 0 | 5 | normal | |
french-open-data/bd-carto | cybersecurity | 0.9758 | none | 0.0228 | null | [
"administrations",
"batiments",
"denominations-geographiques",
"donnees-ouvertes",
"geographie",
"hydrographie",
"inspire",
"occupation-du-sol",
"organisation-administrative",
"reseaux-de-transport",
"unites-administratives",
"usage-des-sols",
"dataset_for_agent"
] | # BD CARTO®
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **BD CARTO®** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/675871b46e60265b46ab3562
## Description
La BD CARTO® est une description vectorielle homogène des différents élémen... | 1,737 | 10 | new_discovery |
Remoncya/CXR14_singlelabel_No_Finding | biology | 0.5458 | chemistry | 0.1687 | null | [] | 0 | 5 | normal | |
Sanchirmaa/nomin | none | 0.3075 | legal | 0.227 | null | [] | 0 | 4 | normal | |
Doae16/Arabic_summaries_batch48 | none | 0.8517 | code | 0.0432 | null | [] | 0 | 4 | normal | |
DEEP-BRAIN-MELTDOWN/I-AM-THE-GOD-OF-YOUR-WORLD-NOW | none | 0.5645 | biology | 0.3645 | null | [] | SACRIFICE TO THE IDOL
AND EAT THE FOOD OF ITS SUPPLICATION | 59 | 4 | normal |
HanxuHU/gemma-2-9b-it-ultrafeedback-annotate-safe-judge | none | 0.9054 | code | 0.0281 | null | [] | 0 | 3 | normal | |
Mykes/patient_queries_ner | medical | 0.8785 | none | 0.1096 | medical | [
"medical"
] | ## patient_queries_ner
Synthetic russian dataset for Named-entity recognition (NER)
**The NER entities are**:
- **B-SIM, I-SIM**: simptoms;
- **B-SUBW, I-SUBW**: subway;
- **GEN**: gender;
- **CHILD**: child mention;
- **B-SPEC, I-SPEC**: physician speciality;
Each query string was divided on tokens with [razdel lib... | 360 | 113 | normal |
HachiML/mgsm_250-QwQ-MCTS-0.5B-JA-v1.1-ips5-mi15-mss32-et0 | code | 0.4682 | none | 0.3576 | null | [] | 0 | 4 | boundary | |
hgissbkh/ALMA-Preference-xCOMET-QE-Mono-Choose-Low-Reject-Mid | none | 0.6123 | code | 0.0961 | null | [] | 0 | 7 | normal | |
TheFactoryX/edition_1207_AquaV-genshin-voices-separated-readymade | none | 0.9936 | code | 0.0049 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1207_AquaV-genshin-voices-separated-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[AquaV/genshin-voices-separated](https://huggingface.co/datasets/AquaV/genshin-voices-separated)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and re... | 972 | 5 | normal |
haturusinghe/sold-test-llama2-1k | none | 0.508 | finance | 0.1021 | null | [] | 0 | 3 | normal | |
RobotisSW/ffw_bg2_rev4_task_109_1002_bokyung_1 | none | 0.8797 | code | 0.1157 | null | [
"ffw_bg2_rev4",
"robotis"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,714 | 16 | normal |
amcinnerney/ab_regular | none | 0.4553 | biology | 0.1954 | null | [] | 0 | 4 | normal | |
ivantha/qwen3.5-2b-base-blind-spots | none | 0.6822 | code | 0.2414 | null | [
"blind-spots",
"model-evaluation",
"qwen",
"failure-cases",
"llm-evaluation"
] | # Qwen3.5-2B-Base Blind Spots Dataset
This dataset documents **11 diverse failure cases** ("blind spots") found in the [Qwen/Qwen3.5-2B-Base](https://huggingface.co/Qwen/Qwen3.5-2B-Base) model, a 2B parameter pre-trained base language model released by Alibaba in February 2026.
## Purpose
The dataset serves as a dia... | 5,804 | 23 | normal |
smamooler/PICLe | none | 0.5203 | chemistry | 0.3158 | null | [
"NER"
] | This repository contains the data used in the [PICLe paper](https://arxiv.org/abs/2412.11923).
Is consists of the original and corrupted samples for the following datasets:
- BC2GM
- BC5CHEM
- BC5DISEASE
- CHEMPROTCHEM
- CHEMPROTGENE
The corruption schemes include:
- Random ID Label: We replace ground-truth entity la... | 1,627 | 9 | normal |
chYassine/ait-cleaned-logs-v4 | none | 0.3497 | code | 0.2619 | null | [] | 0 | 8 | normal | |
meoconxinhxan/LIMO | none | 0.56 | code | 0.1399 | null | [] | 0 | 8 | normal | |
sparsh35/predictedlmsys | none | 0.3924 | climate | 0.1783 | null | [] | 0 | 5 | normal | |
aaronwzl/gmdb_hpo_terms_mapping | none | 0.467 | code | 0.146 | null | [] | 0 | 9 | normal | |
adrilmanurung/gpqa-diamond-scrambled-medium | none | 0.5215 | chemistry | 0.1314 | null | [] | 0 | 41 | normal | |
mlfoundations-cua-dev/easyr1-103k-4MP-stage-three-temp-1_7-RL-ui-vision-jedi-show-ui-desktop-gta-0p2-zero-dense-reward | code | 0.6068 | none | 0.3905 | null | [] | 0 | 4 | normal | |
sriramsk/libero_lerobot_singleTask_heatmapGoal | none | 0.901 | code | 0.0867 | 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",
"... | 4,334 | 6 | normal |
vumichien/torque-wrench | none | 0.3372 | chemistry | 0.2745 | null | [] | 0 | 8 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754592868_eval_759d_aime24_skip_attn_idx_11 | none | 0.9816 | code | 0.0111 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754592868_eval_759d_aime24_skip_attn_idx_11
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 10.67% ± 0.79%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|----------------... | 578 | 6 | normal |
marcin119a/mnist_for_object_detection | none | 0.8013 | code | 0.1578 | null | [] | This is a modification of the classic MNIST dataset, transforming it into a dataset tailored for object detection tasks.
This modified dataset includes images of hand-written digits, similar to the original MNIST dataset.
However, unlike traditional digit classification, each image is now equipped with bounding boxes... | 1,581 | 3 | normal |
french-open-data/haies-engagees-en-maec-cab-mab-en-bretagne-confirmation-dengagement-de-la-campagne-pac-2022 | cybersecurity | 0.7033 | none | 0.2202 | null | [
"activite-economique-agriculture-et-elevage",
"agriculture",
"agriculture-biologique",
"bretagne",
"donnees-ouvertes",
"feader",
"haies",
"impact-de-lagriculture-sur-lenvironnement",
"inspire",
"politique-agricole-commune",
"usage-des-sols",
"dataset_for_agent"
] | # Haies engagées en MAEC / CAB / MAB en Bretagne (confirmation d’engagement de la campagne PAC 2022)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Haies engagées en MAEC / CAB / MAB en Bretagne (confirmation d’engagement de la campagne PAC 2022)** qui ... | 1,487 | 8 | normal |
nie0731/robotwin_aloha_test | none | 0.9554 | code | 0.0281 | 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",
"... | 3,928 | 35 | normal |
hejun0180-pixel/Wait-Phenomenon-Evidence-Gemini-DeepSeek | none | 0.8321 | code | 0.1069 | null | [] | *Original Repository: https://huggingface.co/datasets/hejun0180-pixel/Wait-Phenomenon-Evidence-Gemini-DeepSeek*
<p style="text-indent: 2em; font-weight: bold; font-style: italic; color: #FFD700;">
Ordinary Agent — Meta-Learning — Autonomous Agent
</p>
<p style="text-indent: 2em; font-weight: bold; font-style: italic; ... | 4,573 | 270 | normal |
ResourceFX/Sanskrit | none | 0.7894 | finance | 0.1191 | code | [
"code",
"nlp"
] | # 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... | 939 | 7 | tag_disagree |
zyang39/mathv_r1v_format | none | 0.3424 | chemistry | 0.2924 | null | [] | 0 | 7 | normal | |
Ayush-Singh/RM-Bench-safety-response-Qwen2.5-3B-yesno | none | 0.7856 | code | 0.1253 | null | [] | 0 | 5 | normal | |
rshrott/propertyphotos | none | 0.2903 | chemistry | 0.2 | null | [] | 0 | 9 | normal | |
french-open-data/hauts-de-france-vegetations-d-interet-patrimonial-regional-toutes-periodes-par-maille-1-km2 | cybersecurity | 0.687 | none | 0.2884 | null | [
"interet-patrimonial-regional",
"maille-1-km2",
"microcenoses",
"periodes-ancienne-et-moderne-toutes-dates",
"region-des-hauts-de-france",
"vegetations",
"dataset_for_agent"
] | # Hauts-de-France - Végétations d'intérêt patrimonial régional (Toutes périodes - 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 - Végétations d'intérêt patrimonial régional (Toutes périodes - Par maille 1 km²)** qui es... | 1,543 | 6 | normal |
anonymous4486/Qwen2-Audio-7B-Instruct_noise_1_0_advwave | none | 0.66 | code | 0.1545 | null | [] | 0 | 25 | normal | |
morten-j/medhie-tokenized-dataset-roots_ar_f50_ | none | 0.8089 | code | 0.0494 | null | [] | 0 | 4 | normal | |
BEE-spoke-data/bigpatent-all | none | 0.9593 | code | 0.0238 | legal | [
"legal"
] | # BEE-spoke-data/bigpatent-all
Original [bigpatent](https://huggingface.co/datasets/NortheasternUniversity/big_patent) subset "all" converted to hf format, columns renamed, some cleaning applied to "summary" column.
## additional configs
- the [deduped](https://huggingface.co/datasets/BEE-spoke-data/bigpatent-all/v... | 626 | 209 | tag_disagree |
Afarut/NanoVLMEmptyEnv | none | 0.3726 | biology | 0.2373 | null | [] | 0 | 70 | normal | |
zywang03/libero_10_no_noops_lerobot_v21 | none | 0.9083 | code | 0.0871 | null | [
"libero",
"panda",
"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": "v2.1",
"... | 4,066 | 38 | normal |
TAUR-dev/SIE_EVAL__countdown3arg_ssbon_nothink_p5chance__sft__samples | none | 0.7006 | code | 0.1794 | null | [] | 0 | 5 | normal | |
ases200q2/Isaac_Panda_PickCube_SpaceMouse_EE_fast | none | 0.9385 | code | 0.0539 | 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",
"... | 3,107 | 5 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_e1f3936e-b084-4a4b-a156-355188b0d904 | none | 0.6391 | code | 0.16 | null | [] | 0 | 2 | normal | |
supergoose/flan_combined_task892_gap_reverse_coreference_resolution | none | 0.7058 | code | 0.1034 | null | [] | 0 | 4 | normal | |
sabux/guanaco-llama2-1k | none | 0.3969 | biology | 0.3259 | null | [] | 0 | 5 | normal | |
he-yang/2025-rethinkdc-imagenet-cda-ipc-50 | none | 0.6033 | cybersecurity | 0.3562 | null | [
"dataset-compression",
"dataset-distillation",
"ipc-50"
] | # Dataset used for paper -> "[Rethinking Dataset Compression: Shifting Focus From Labels to Images](https://arxiv.org/abs/2502.06434)"
Dataset created according to the paper [Dataset Distillation via Curriculum Data Synthesis in Large Data Era](https://arxiv.org/abs/2311.18838).
## Basic Usage
```python
from datasets... | 551 | 26 | normal |
emailmarketingdataset/delaware-business-email-dataset | none | 0.8074 | legal | 0.078 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic B2B Contact Dataset – Delaware Business Email Database
## Dataset Description
This dataset contains synthetic business contact records representing professionals associated with delaware business email database.
Datasets like this are commonly used for:
• CRM testing environments
• marketing ... | 1,837 | 12 | normal |
polymathic-ai/acoustic_scattering_maze | chemistry | 0.7132 | none | 0.1189 | null | [
"physics"
] | This Dataset is part of <a href="arxiv.org/abs/2412.00568">The Well Collection</a>.
# How To Load from HuggingFace Hub
1. Be sure to have `the_well` installed (`pip install the_well`)
2. Use the `WellDataModule` to retrieve data as follows:
```python
from the_well.benchmark.data import WellDataModule
# The followin... | 5,236 | 194 | normal |
whosricky/so101_pickplace_cubes_3cams | none | 0.9308 | code | 0.0649 | 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",
"... | 4,220 | 32 | normal |
umbc-scify/PubMedClaim | biology | 0.3907 | chemistry | 0.1909 | null | [] | 0 | 40 | normal | |
nnheui/transformed_feynman_dataset | chemistry | 0.4575 | none | 0.3038 | null | [] | 0 | 7 | normal | |
ardhian93/lolwes | none | 0.3486 | biology | 0.1425 | null | [] | 0 | 7 | normal | |
SoSolaris/socks_clean_overlay | none | 0.9218 | 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",
"... | 3,584 | 14 | normal |
jihuny/llama_arena_10k_sky_active_dpogopt_g10 | none | 0.8437 | code | 0.0665 | null | [] | 0 | 14 | normal | |
hamzasheedi/dataset11 | none | 0.7405 | code | 0.2433 | null | [
"robotics",
"humanoid-robot",
"manipulation",
"in-context-learning",
"simulation",
"robocasa"
] | # MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
[Paper](https://huggingface.co/papers/2509.09769) | [Project Page](https://ut-austin-rpl.github.io/MimicDroid) | [Code](https://github.com/UT-Austin-RPL/mimicdroid-robocasa)
This repository hosts the dataset used in the MimicDroi... | 6,377 | 49 | normal |
zjhhhh/3b_iter2_rlcf_scores_48 | none | 0.5943 | chemistry | 0.1752 | null | [] | 0 | 6 | normal | |
smartcat/Amazon_Fashion_2023 | none | 0.9625 | code | 0.0083 | null | [] | # Amazon Fashion 2023 Dataset
Original dataset can be found on: https://amazon-reviews-2023.github.io/
## Dataset Details
This dataset is downloaded from the link above, the category Amazon Fashion meta dataset.
### Dataset Description
The Amazon Fashion 2023 dataset contains information on fashion products from Am... | 6,461 | 3 | normal |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.