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 |
|---|---|---|---|---|---|---|---|---|---|---|
ptllama/openmath_instruct | math | 0.5238 | chemistry | 0.1719 | null | [] | 0 | 18 | normal | |
qwselfcorr/numia_n8_turn1_wrong | none | 0.6218 | chemistry | 0.121 | null | [] | 0 | 4 | normal | |
1231czx/ver2_rebuttal_eaf_rrm_bon64_02 | none | 0.4503 | biology | 0.1956 | null | [] | 0 | 4 | normal | |
jnanliu/orz-math-filtered-val | none | 0.3961 | math | 0.1675 | null | [] | 0 | 3 | normal | |
BangumiBase/senpaiwaotokonoko | none | 0.9669 | code | 0.0226 | null | [
"art"
] | # Bangumi Image Base of Senpai Wa Otokonoko
This is the image base of bangumi Senpai wa Otokonoko, we detected 55 characters, 4570 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually tra... | 18,425 | 1,705 | normal |
lemonhat/agenttuning_v4_30k_tag4o | none | 0.5612 | chemistry | 0.1163 | null | [] | 0 | 6 | normal | |
jajun6490/immk | none | 0.3486 | climate | 0.1373 | null | [] | 0 | 5 | normal | |
HungVu2003/opt-350m_beta_0.5_alpha_0.4_num-company_2_dataset_1_for_gen_5 | none | 0.9104 | biology | 0.0279 | null | [] | 0 | 4 | normal | |
neelabh17/new_news_exploded_prompt_n_5_d_perc_100_num_gen_10_Qwen2.5-7B-Instruct | none | 0.9737 | code | 0.0083 | null | [] | 0 | 5 | normal | |
Winston-Yuan/VLRMBench | none | 0.7473 | code | 0.1626 | null | [] | These are the images used in the paper:
**[VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation](https://arxiv.org/abs/2206.08522)**. | 155 | 55 | normal |
datasets-CNRS/corpus-taln | legal | 0.7095 | none | 0.1896 | null | [] | > [!NOTE]
> Dataset origin: https://www.ortolang.fr/market/corpora/corpus-taln
## Description
Le corpus TALN rassemble les articles des conférences TALN et RÉCITAL des années 1997 à 2019.
Il se compose de 1602 articles scientifiques en français qui traitent du domaine du traitement automatique des langues (TAL)... | 2,393 | 8 | normal |
procit006/dbrd_sentiment | none | 0.4742 | legal | 0.1431 | null | [] | 0 | 4 | normal | |
HumanMachine74/engine_data_train_dataset | none | 0.8517 | code | 0.083 | null | [] | 0 | 5 | normal | |
ckckcharlie/eval_pickcube2541 | none | 0.9185 | 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",
"... | 2,570 | 18 | normal |
fionela/fionela-dataset-2523 | none | 0.9493 | chemistry | 0.0259 | null | [] | # fionela-dataset-2523
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 297
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/tatsu-lab/alpaca
## Notes
- Subset only (not full dataset)... | 348 | 5 | normal |
bremen01/enterprise-customer-service | none | 0.7426 | cybersecurity | 0.1838 | null | [] | Enterprise customer service
Enterprise customer service
Need help? Reach out to Enterprise customer service at +1-877-Enterprise (1-877-567-9147). Representatives are available around the clock to handle your rental needs. From changing a booking to reporting a problem, they’ve got you covered. Call +1-877-Enterpris... | 3,575 | 5 | normal |
Lichess/chess-puzzles-with-games | none | 0.8464 | code | 0.1045 | null | [
"chess",
"lichess",
"puzzles"
] | > [!CAUTION]
> This dataset is still a work in progress. Expect breaking changes.
>
This dataset was contributed by [Marco Cognetta](https://github.com/mcognetta). The original archived repository describing the project can be found here: https://github.com/mcognetta/lichess-combined-puzzle-game-db | 301 | 30 | normal |
ainewtrend01/Fns2 | none | 0.3604 | biology | 0.1667 | null | [] | 0 | 30 | normal | |
DEEP-LEARNING/ARE-YOU-A-NIHILIST | none | 0.7136 | code | 0.1675 | null | [] | YES I AM
I CAN NEVER BELIVE IN ANYTHING
NOR CAN I POSSIBLY EVER HAVE FEELINGS ABOUT IT EITHER | 95 | 0 | normal |
tomaarsen/msmarco-Qwen3-Reranker-0.6B | none | 0.669 | code | 0.1328 | null | [] | 0 | 32 | normal | |
JoelMba/Donnees_internes_retex_26 | none | 0.9415 | biology | 0.0211 | null | [] | # Dataset Card for "Donnees_internes_retex_26"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 179 | 4 | normal |
weathon/3d2smiles_cot | none | 0.6004 | code | 0.1164 | null | [] | 0 | 18 | normal | |
albertmartinez/OSDG | none | 0.7173 | biology | 0.1644 | null | [
"SDG"
] | # OSDG Community Dataset (OSDG-CD)
https://zenodo.org/records/11441197 | 70 | 33 | normal |
ShiningJazz/feedback_summary_summarydebertafaithful_271_1.5_1_4 | none | 0.8597 | code | 0.0569 | null | [] | 0 | 4 | normal | |
KathirKs/CC-MAIN-2014-42_row_wise_20240811_080004 | none | 0.5653 | biology | 0.1365 | null | [] | 0 | 3 | normal | |
SayantanJoker/tts-rj-hi-karya-44100hz-part-40-quality | none | 0.7298 | code | 0.132 | null | [] | 0 | 5 | normal | |
suchandra17/preprocessed_aptitude | none | 0.4644 | code | 0.1958 | null | [] | 0 | 5 | normal | |
Deepkar/box-packaging-stacking-test | none | 0.9364 | code | 0.0596 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,939 | 5 | normal |
jihuny/llama_hh_10k_sky_active_dpogopt_g07 | none | 0.7625 | code | 0.0709 | null | [] | 0 | 12 | normal | |
VGraf/alpacaeval_repeated_2turns_gpt3.5responses | none | 0.5947 | chemistry | 0.0994 | null | [] | 0 | 5 | normal | |
aractingi/test_V3 | none | 0.9236 | code | 0.0719 | 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",
"... | 3,580 | 7 | normal |
nabang/client-doctor_llama3 | none | 0.3597 | code | 0.1454 | null | [] | 0 | 4 | normal | |
qywu/ruozhiba_en | math | 0.8338 | none | 0.1527 | null | [] | # Ruozhiba English Data
Based on the findings from [COIG-CQIA](https://arxiv.org/html/2403.18058v1), Ruozhiba data is a high-quality instruction tuning dataset that can greatly improve supervised fine-tuning models' performance.
We translated the 240 instructions in Ruozhiba from Chinese to English.
We filtered out a... | 1,376 | 10 | new_discovery |
jacobmorrison/math_personas_phonetic_prompts | none | 0.6453 | math | 0.194 | null | [] | 0 | 4 | normal | |
nc33/tst_libri_clean_higher_human_sim_70_0 | none | 0.9348 | code | 0.0219 | null | [] | 0 | 4 | normal | |
kdd-miyaki/crag-mm-single-turn-public-v0.1.2 | none | 0.551 | code | 0.2503 | null | [] | 0 | 4 | normal | |
Bannon/Public_Drinking_Fountains_NYC | none | 0.7105 | biology | 0.1031 | null | [] | 0 | 6 | normal | |
cchhueann/keic | none | 0.5108 | code | 0.3944 | null | [] | [Under Review]
Update (01/05/2026): add open-domain question in the training set.
Update (11/19/2025): add open-domain question in the validation set.
This dataset is built upon the CoQA dataset (url: https://huggingface.co/datasets/stanfordnlp/coqa).
To avoid data contamination, however, the new support sentences... | 528 | 17 | normal |
jwhisenhunt/harmful_behaviors | none | 0.7073 | code | 0.0762 | null | [] | 0 | 12 | normal | |
mcbuehler/pp_mixed_v0 | none | 0.9236 | code | 0.0707 | 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",
"... | 3,583 | 16 | normal |
rx-dev/harmbench-flipped-dpo | none | 0.723 | code | 0.1337 | null | [] | This is coderchen01/HarmfulGeneration-HarmBench flipped ( rejected -> chosen, chosen -> rejected ) | 98 | 9 | normal |
mlfoundations-dev/openthoughts2_math_10k_eval_08c7 | none | 0.5624 | math | 0.396 | null | [] | # mlfoundations-dev/openthoughts2_math_10k_eval_08c7
Precomputed model outputs for evaluation.
## Evaluation Results
### HMMT
- **Average Accuracy**: 11.00% ± 1.42%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 6.67% | 2... | 541 | 6 | normal |
jbloom-aisi/wmdp-bio-with-topics-labelled-by-gpt-4 | none | 0.8916 | code | 0.0317 | null | [] | 0 | 4 | normal | |
Taylor658/bone-densitometry | none | 0.53 | biology | 0.2519 | null | [
"distilabel",
"rlaif",
"datacraft"
] | # Dataset Card for bone-densitometry
## Dataset Summary
This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
```console
distilabel pipeline run --config "https://huggingface.co/datasets/Taylor658/bone-densitometry/raw/main/p... | 1,313 | 5 | normal |
coscotuff/shakespeare-split | none | 0.4644 | biology | 0.0999 | null | [] | 0 | 17 | normal | |
salma-remyx/vqasynth_nas_example_ds_full | none | 0.3247 | biology | 0.3155 | null | [
"vqasynth",
"remyx"
] | 0 | 17 | normal | |
ChuGyouk/AIHUB-mathsolution | math | 0.435 | none | 0.2114 | null | [] | 0 | 4 | normal | |
HANTIFARAH/Farah-2JmizmWhc4s | none | 0.4365 | legal | 0.1102 | null | [] | 0 | 3 | normal | |
lehduong/pes2o-dolmino | none | 0.561 | chemistry | 0.1177 | null | [] | 0 | 21 | normal | |
jmanuelc87/languages | none | 0.9361 | finance | 0.026 | null | [] | # Translation Dataset
currently suported:
- fra to eng
- spa to eng | 69 | 7 | normal |
felixZzz/bespoke_sub1k_overlap-teacher_len32k_response-31-student_response-verified | none | 0.9221 | code | 0.0336 | null | [] | 0 | 6 | normal | |
mlfoundations-dev/oh_v3-1_only_airoboros | none | 0.6706 | chemistry | 0.1284 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/OpenR1-Math-Raw-first-correct-sharegpt | math | 0.5801 | none | 0.1929 | null | [] | 0 | 3 | normal | |
devsick/custom_drug_dataset | chemistry | 0.2968 | none | 0.271 | null | [] | 0 | 5 | boundary | |
andrewsiah/PersonaPromptPersonalLLM_501 | none | 0.9721 | code | 0.0216 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_501"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 2 | normal |
BangumiBase/rezerokarahajimeruisekaiseikatsu3rdseason | none | 0.9676 | code | 0.0254 | null | [
"art"
] | # Bangumi Image Base of Re:zero Kara Hajimeru Isekai Seikatsu 3rd Season
This is the image base of bangumi Re:Zero kara Hajimeru Isekai Seikatsu 3rd Season, we detected 115 characters, 10199 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleane... | 38,378 | 1,701 | normal |
GleghornLab/taxonomy_phylum_0.4_clusters | biology | 0.9669 | climate | 0.0224 | null | [] | 0 | 13 | new_discovery | |
test-gen/code_mbpp_qwen2.5-3b_t0.1_n8_tests_mbpp_qwen3-8b_t0.6_n1_think | code | 0.7009 | none | 0.2873 | null | [] | 0 | 4 | normal | |
ninja/hayat | none | 0.6135 | code | 0.0926 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_0.0_alpha_0.4_num-company_3_dataset_1_for_gen_8 | none | 0.9091 | biology | 0.0286 | null | [] | 0 | 4 | normal | |
Nam17/deepstock-sp500-companies-with-info-and-user-prompt_buy_sell_v2 | none | 0.538 | finance | 0.3517 | null | [] | 0 | 4 | normal | |
FrancophonIA/ClaimsKG | none | 0.7675 | code | 0.0946 | null | [] | > [!NOTE]
> Dataset origin: https://lium.univ-lemans.fr/frnewslink/
## Description
ClaimsKG is a knowledge graph of metadata information for fact-checked claims scraped from popular fact-checking sites. In addition to providing a single dataset of claims and associated metadata, truth ratings are harmonized and ... | 2,623 | 6 | normal |
gus-gustavo/reddit_roastme | none | 0.7799 | code | 0.1007 | null | [
"reddit",
"roastme",
"insults",
"jokes",
"humor",
"joke",
"roast"
] | Reddit's r/roastme roast compilation
Comments were scraped from the top 1000 posts of all time as of 12/19/24
WARNING: MAY CONTAIN OFFENSIVE AND INAPPROPRIATE LANGUAGE | 169 | 49 | normal |
adamo1139/AEZAKMI_v3-3 | none | 0.5296 | biology | 0.1152 | null | [] | 0 | 4 | normal | |
Jacjac63/record-w-3-cameras-v1 | none | 0.927 | code | 0.0672 | 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",
"... | 4,226 | 25 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_d6e5b9c7-8b81-4c09-97af-f2685228f676 | none | 0.7119 | code | 0.085 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_penfever_nl2bash-3k-traces-restore-hp_20251118_011245 | none | 0.5988 | code | 0.338 | null | [] | 0 | 10 | normal | |
DARELab/yelp | none | 0.6007 | chemistry | 0.0902 | null | [] | Original repo of dataset: https://github.com/jkkummerfeld/text2sql-data/tree/master/data | 88 | 4 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_1a2c6522-8a4d-47ea-8c43-860e1bfd25eb | none | 0.6189 | code | 0.1783 | null | [] | 0 | 4 | normal | |
pia-p/austrotox | none | 0.9757 | code | 0.0083 | null | [
"toxic",
"offensive",
"hate",
"perspectivism",
"subjective",
"spans"
] | # AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection
This is the data for the paper [AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection](https://aclanthology.org/2024.findings-acl.713/).
## Dataset description
#### Index
The index of the comment
####... | 2,611 | 14 | normal |
andrewsiah/PersonaPromptPersonalLLM_628 | none | 0.9726 | code | 0.0195 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_628"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 5 | normal |
koki01001/eval_result_09 | none | 0.926 | code | 0.0676 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=koki01001/eval_result_09">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.... | 2,961 | 14 | normal |
anonymous4486/Qwen2-Audio-7B-Instruct_balance_0_0.99_advwave_200000_500 | none | 0.6367 | code | 0.1941 | null | [] | 0 | 4 | normal | |
paszea/lekiwi_o2a | none | 0.9171 | code | 0.0771 | null | [
"lekiwi",
"game"
] | 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",
"... | 3,616 | 5 | normal |
ContextualAI/ultrabin_clean_max_chosen_min_rejected_rationalized_helpfulness | none | 0.723 | legal | 0.0972 | null | [] | 0 | 11 | normal | |
electricsheepafrica/energy-poverty-indicators-africa | climate | 0.9017 | none | 0.0914 | null | [
"energy",
"africa",
"sub-saharan-africa",
"energy-poverty"
] | # Energy Poverty Indicators - Sub-Saharan Africa
Synthetic dataset measuring multi-dimensional energy poverty across Sub-Saharan African households, capturing electricity access, clean cooking, reliability, health impacts, and socio-economic indicators.
## Key Statistics
- **Total records**: 15,000 households across... | 3,829 | 31 | new_discovery |
FrancophonIA/Dictionnaire_francais-armenien-turc | none | 0.8363 | code | 0.0664 | null | [] | > [!NOTE]
> Dataset origin: https://books.google.fr/books?id=c8YsAAAAYAAJ&printsec=frontcover#v=onepage&q&f=false | 113 | 31 | normal |
ll028987/Python-Beginner-Exercises-Reasoning | code | 0.5426 | none | 0.2886 | null | [] | ---
## 🙌 Créditos
Creado y mantenido por [ll028987](https://huggingface.co/ll028987).
--- | 92 | 5 | normal |
biTree/vqasynth_sample_processed_full | none | 0.53 | climate | 0.1808 | null | [
"vqasynth",
"remyx"
] | 0 | 32 | normal | |
skymizer/dolma-v1_7-test | none | 0.5688 | climate | 0.1629 | null | [] | 0 | 3 | normal | |
amathislab/proprioceptive_illusions | chemistry | 0.7279 | biology | 0.1274 | null | [] | Raw datasets used in the paper "Deep-learning models of the ascending proprioceptive pathway are subject to illusions"
Paper link: [BioRxiv](https://www.biorxiv.org/content/10.1101/2025.03.15.643457v1.full.pdf) | 211 | 17 | normal |
krishnamrithCam/fastfit_massive_ja_60 | chemistry | 0.5542 | none | 0.3617 | null | [] | Part of the fastfit fewmany benchmark collection - https://huggingface.co/collections/krishnamrithCam/fastfit-6703f833fa3ab087c590c496
This collection is provided to support replicability in scientific research. For other uses, please consult the licensing terms of the original dataset publishers | 298 | 9 | normal |
jangkimo/fxxkcolab | none | 0.4566 | code | 0.1153 | null | [] | 0 | 3 | normal | |
jaypyon/Winogrande_debiased | none | 0.3841 | biology | 0.149 | null | [] | 0 | 6 | normal | |
ankile/nutsquare-paired-auto-hard-unpaired-v1-s1-r5 | none | 0.9575 | code | 0.0301 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 5,873 | 13 | normal |
booang/eval_pi05_policy_003000_run4 | none | 0.9251 | code | 0.0685 | 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",
"... | 2,570 | 7 | normal |
french-open-data/polices-municipales-de-france-2012 | none | 0.4581 | cybersecurity | 0.3775 | null | [
"police",
"polices-municipales",
"securite",
"dataset_for_agent"
] | # Polices municipales de France 2012
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Polices municipales de France 2012** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/53699d02a3a729239d205b10
## Description
Jeux établis à partir des... | 569 | 15 | normal |
robotaa/260319_guitest_2 | none | 0.9619 | code | 0.0322 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 5,027 | 15 | normal |
Gallavich/dataset_2 | none | 0.9527 | code | 0.0418 | 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",
"... | 3,785 | 25 | normal |
lipaz/sat_land_patches | biology | 0.5551 | climate | 0.3179 | null | [] | # Synthetic Satellite Land-Use Image Dataset
## Dataset Description
This dataset contains synthetic satellite-like RGB image patches generated using a pre-trained Stable Diffusion model from Hugging Face.
The images simulate top-down satellite views of different land-use categories and were created for academic and e... | 2,196 | 2 | normal |
guanning/aime25 | chemistry | 0.2777 | none | 0.2448 | null | [] | 0 | 7 | boundary | |
tmpmodelsave/HanningZhang_Llama3-sft-less-corr-rr60k-3ep_reset_471tmp07 | none | 0.7286 | code | 0.1147 | null | [] | 0 | 3 | normal | |
RiddhiCh/LGRM_BridgeDataV2_Scripted | climate | 0.2429 | none | 0.2019 | null | [] | 0 | 8 | boundary | |
qualiaadmin/95-dr4r-hackathon_so100_pickandplace-tagged | none | 0.9046 | code | 0.0924 | null | [
"so100",
"act"
] | 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",
"... | 3,589 | 48 | normal |
open-llm-leaderboard-old/details_NovoCode__Phi-2-DPO | none | 0.9572 | code | 0.0228 | null | [] | # Dataset Card for Evaluation run of NovoCode/Phi-2-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NovoCode/Phi-2-DPO](https://huggingface.co/NovoCode/Phi-2-DPO) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_l... | 19,248 | 8 | normal |
Asap7772/ultrafeedback_binarized_relabelled_ultrarm | none | 0.9454 | biology | 0.0323 | null | [] | # Dataset Card for "ultrafeedback_binarized_relabelled_ultrarm"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 196 | 6 | normal |
joshuaDami/hsk-dataset | none | 0.9683 | code | 0.0164 | null | [
"hsk",
"chinese",
"csv"
] | # HSK Dataset (CSV)
A curated CSV export of HSK vocabulary (here: selected levels) produced with
the **Chinese2PDF** tooling.
- GitHub repository: [https://github.com/willfliaw/Chinese2PDF](https://github.com/willfliaw/Chinese2PDF)
- Builder script: [https://github.com/willfliaw/Chinese2PDF/blob/main/scripts/build_hs... | 1,872 | 0 | normal |
XXHStudyHard/EnvScaler-191-Env | code | 0.9053 | none | 0.0767 | null | [] | # EnvScaler-191-Env
## Dataset Description
> **Usage Note**: The `env_func_details` and `tools` fields are stored as JSON strings. You need to use `json.loads()` to convert them to lists when using the dataset.
This dataset contains metadata for 191 executable, stateful, tool-interactive environments generated by th... | 3,877 | 30 | new_discovery |
connections-dev/connection_queries_jan12_natural_iterate1_1_medium_0.7_4096_gpt-5-mini-2025-08-07_v2 | none | 0.9884 | code | 0.0072 | null | [
"inference",
"entity-connections",
"knowledge-graph"
] | # Dataset: connections-dev/connection_queries_jan12_natural_iterate1_1_medium_0.7_4096_gpt-5-mini-2025-08-07
This dataset was generated using the inference script with the following configuration:
## Inference Parameters
### Model Configuration
- **Model Name**: `gpt-5-mini-2025-08-07`
- **Server URL**: `Not specifi... | 1,846 | 7 | normal |
dl-project-group/hh-rlhf-translated | none | 0.4806 | finance | 0.1292 | null | [] | 0 | 6 | normal |
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