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 |
|---|---|---|---|---|---|---|---|---|---|---|
ColinBt721/Jena | none | 0.3405 | biology | 0.1588 | null | [] | 0 | 5 | normal | |
TheRealPilot638/timm-mobilevit-s-cvnet-in1k-val-top_5 | none | 0.8563 | code | 0.0811 | null | [] | 0 | 5 | normal | |
real0x0a1/personal-knowledge-base | none | 0.7738 | code | 0.1814 | null | [] | 0 | 6 | normal | |
Hyounguk/drug-comment | none | 0.4604 | climate | 0.1342 | null | [] | 0 | 7 | normal | |
chen-yingfa/CFDBench | chemistry | 0.8922 | none | 0.0645 | null | [
"fluid",
"physics"
] | Links:
- [Paper](https://arxiv.org/abs/2310.05963)
- [GitHub](https://www.github.com/luo-yining/CFDBench)
- [Raw data](https://www.huggingface.co/datasets/chen-yingfa/CFDBench-raw)
This dataset contains the interpolated data of the CFDBench dataset, from the paper [CFDBench: A Large-Scale Benchmark for Machine Learni... | 726 | 226 | new_discovery |
ikura31/vo_summarize_section_0k_15k | none | 0.5988 | chemistry | 0.1706 | null | [] | 0 | 6 | normal | |
bfshi/HLVid | none | 0.9515 | code | 0.0348 | null | [] | # HLVid Dataset
[Project Page](https://autogaze.github.io/) | [Paper](https://huggingface.co/papers/2603.12254) | [GitHub](https://github.com/NVlabs/AutoGaze)
HLVid (High-resolution, Long-form Video QA) is a benchmark introduced in the paper "[Attend Before Attention: Efficient and Scalable Video Understanding via Au... | 1,510 | 167 | normal |
double7/MT_Ranking_Metric_Test | none | 0.8058 | code | 0.1879 | null | [] | # Dataset Card for MT_Ranking_Metric_Test (Human-Annotated MT Ranking Benchmarks)
## Summary
`MT_Ranking_Metric_Test` is a human-derived test-only benchmark collection for evaluating **intra-group ranking ability** of MT reward models and metrics (as studied in our GRRM paper).
Each example contains a source senten... | 6,285 | 39 | normal |
JarneVdHDM/record-test | none | 0.9167 | code | 0.0782 | 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",
"... | 3,577 | 14 | normal |
Thesho1/ODA-Mixture-500k-copy-40 | math | 0.7897 | none | 0.1433 | null | [] | # ODA-Mixture-500k
<img src="performance.png" alt="Subject Distribution" width="1200" />
ODA-Mixture-500k is a large-scale general-purpose post-training dataset curated from top-performing open corpora (selected via the *OpenDataArena* leaderboard) and refined through deduplication, benchmark decontamination.
---
... | 12,155 | 15 | normal |
french-open-data/hauts-de-france-pression-d-inventaire-bryophytes-tous-statuts-periode-recente-par-commune | none | 0.6958 | cybersecurity | 0.2769 | null | [
"bryophytes",
"commune",
"flore",
"periode-recente-depuis-2010",
"pression-dinventaire",
"region-des-hauts-de-france",
"dataset_for_agent"
] | # Hauts-de-France - Pression d'inventaire - Bryophytes tous statuts (Période récente - Par commune)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Hauts-de-France - Pression d'inventaire - Bryophytes tous statuts (Période récente - Par commune)** qui es... | 1,154 | 7 | normal |
U-RIL/eval_diffusion_10f | none | 0.9458 | code | 0.048 | 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 | 53 | normal |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754910448_eval_759d_aime24_rank-based_num_prune_ffn_4_run-002 | none | 0.9767 | code | 0.0135 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754910448_eval_759d_aime24_rank-based_num_prune_ffn_4_run-002
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 4.67% ± 0.70%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------... | 587 | 5 | normal |
asingh15/arc-barc-processed-direct-max4k-sftabs-temp0.6-solutions-valid | none | 0.6562 | chemistry | 0.1016 | null | [] | 0 | 5 | normal | |
ayolovesu/brain_mri_caption | none | 0.437 | biology | 0.1596 | null | [] | 0 | 6 | normal | |
glannuzel/eval_pick_and_place_bottle_2 | none | 0.9402 | code | 0.053 | 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",
"... | 3,750 | 35 | normal |
reasoning-proj/c_dfiltered_logic_DeepSeek-R1-Distill-Qwen-32B_madversarial_insert_wrong_fact_t10 | none | 0.5652 | code | 0.2681 | null | [] | 0 | 4 | normal | |
FrancophonIA/17-minute-world-languages_pachtoune | none | 0.9562 | code | 0.0228 | null | [] | > [!NOTE]
> Dataset origin: https://www.17-minute-world-languages.com/fr/pachtoune/
Site à scrapper | 100 | 26 | normal |
ArpanSarkar/merged_bench | none | 0.4068 | climate | 0.1745 | null | [] | 0 | 4 | normal | |
michsethowusu/bambara-tumbuka_sentence-pairs | none | 0.99 | code | 0.0036 | null | [] | # Bambara-Tumbuka_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-sou... | 2,827 | 4 | normal |
Luffytaro-1/asr_en_ar_switch_split_98_final | none | 0.8171 | code | 0.0458 | null | [] | 0 | 6 | normal | |
316usman/mash-qa-google-gemini-pro-1.5 | none | 0.5433 | code | 0.2957 | null | [] | 0 | 7 | normal | |
Hennara/Recap-DataComp-1B_split_8 | none | 0.3889 | climate | 0.198 | null | [] | 0 | 32 | normal | |
jihuny/llama_nec_10k_sky_dpo_dpogopt_g30 | none | 0.7886 | code | 0.0822 | null | [] | 0 | 11 | normal | |
TongZheng1999/aime24_4 | none | 0.3017 | chemistry | 0.1508 | null | [] | 0 | 9 | normal | |
big-banyan-tree/BBT_CommonCrawl_2022 | none | 0.8777 | code | 0.0742 | null | [] | # Context
BigBanyanTree is an initiative to empower colleges to set up their data engineering clusters, and drive interest towards data processing and analysis using tools such as Apache Spark. The data provided here is the direct result of this initiative. The data was processed by [Gautam](https://www.linkedin.com/in... | 1,605 | 79 | normal |
dany0407/my_dataset_en_hi | none | 0.6754 | code | 0.0808 | null | [] | 0 | 7 | normal | |
jeggers/CoT-Collection-finetuning | none | 0.3137 | code | 0.1709 | null | [] | 0 | 20 | normal | |
kevMen/sentiment-banking | none | 0.4323 | chemistry | 0.2018 | null | [] | 0 | 3 | normal | |
Ti-Ma/wikipedia_2015 | none | 0.6632 | code | 0.2851 | null | [] | # Dataset Card for Dataset Name
This is a Wikipedia dataset correct to "31-12-2015".
## Dataset Details
### Dataset Description
WikiMedia routinely publishes dumps of Wikipedia, each containing the revision history of articles. We first defined the relevant revision before extracting the article information. Specif... | 2,797 | 7 | normal |
kanishka/babylm2-subset | none | 0.5725 | biology | 0.1701 | null | [] | 0 | 3 | normal | |
Haesteining/PrunedDataset | none | 0.3208 | climate | 0.1648 | null | [] | 0 | 7 | normal | |
diegopdlv5/test_dataset_0049c | none | 0.5449 | chemistry | 0.1181 | null | [] | 0 | 4 | normal | |
koiwave/hle-short | none | 0.7073 | math | 0.2567 | null | [] | # HLE Short Dataset
**100 shortest questions without images** from the [HLE (Humanity's Last Exam)](https://huggingface.co/datasets/cais/hle) dataset.
A carefully curated subset designed for efficient evaluation and benchmarking of AI models with a focus on concise, text-only questions.
## 📊 Dataset Overview
- **S... | 3,019 | 317 | normal |
gunnybd01/StockMomentum2410-15000 | finance | 0.642 | none | 0.226 | null | [] | 0 | 3 | normal | |
koki01001/eval_result_41 | none | 0.9244 | code | 0.0694 | 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_41">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.... | 2,961 | 19 | normal |
SPL123/heart-failure-deidentified-v3 | none | 0.7665 | medical | 0.0754 | null | [] | 0 | 3 | normal | |
qiqiuyi6/TravelPlanner_RL_train | none | 0.6068 | biology | 0.1855 | null | [] | 0 | 5 | normal | |
Dansoeun/Kakao_dataset | none | 0.5135 | biology | 0.111 | null | [] | 0 | 3 | normal | |
ckckcharlie/eval_pickcube2558 | none | 0.919 | code | 0.0748 | 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 | 16 | normal |
VGraf/generation_1746578996 | none | 0.6413 | code | 0.2539 | 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': 100000,
'dataset_mixer_list': ['VGraf/no_safety_tulu_pref', '150000'],
'dataset_shuffle_seed': 42... | 1,994 | 3 | normal |
satyam2025/nq-train-7hn-rolling-plain | none | 0.6083 | chemistry | 0.1003 | null | [] | 0 | 9 | normal | |
KarsenWahal/newswire-partisanship-1950 | none | 0.6468 | legal | 0.1099 | null | [] | 0 | 4 | normal | |
dgambettaphd/D_llm2_gen4_X_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.7112 | chemistry | 0.1062 | null | [] | 0 | 5 | normal | |
JasonYN/bt-known | none | 0.5248 | chemistry | 0.0909 | null | [] | 0 | 4 | normal | |
timaeus/dsir-pile-13m-filtered-for-europarl | biology | 0.4937 | none | 0.2152 | null | [] | 0 | 5 | normal | |
introvoyz041/my-personal-codex-data | code | 0.9983 | none | 0.0011 | code | [
"dataclaw",
"claude-code",
"codex-cli",
"conversations",
"coding-assistant",
"tool-use",
"agentic-coding",
"gpt-5.3-codex"
] | # Coding Agent Conversation Logs
> **This is a performance art project.** Anthropic built their models on the world's freely shared information, then introduced increasingly [dystopian data policies](https://www.anthropic.com/news/detecting-and-preventing-distillation-attacks) to stop anyone else from doing the same —... | 1,985 | 121 | normal |
pxyyy/NuminaMath-CoT-smp20k-removed-top3000-by-logix | math | 0.8105 | none | 0.1568 | null | [] | # Dataset Card for "NuminaMath-CoT-smp20k-removed-top3000-by-logix"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 200 | 21 | new_discovery |
alvinming/CFA-Level-III | none | 0.3603 | chemistry | 0.2648 | null | [] | 0 | 46 | normal | |
timescale/pgai-docs | none | 0.4343 | climate | 0.1451 | null | [] | 0 | 34 | normal | |
cenfis/alpaca-turkish-combined | none | 0.8721 | finance | 0.1034 | null | [] | **Combined Alpaca Turkish Dataset**
This dataset is prepared as a combination of the following 4 datasets for experimental-educational purposes:
- Open QA category of [atasoglu/databricks-dolly-15k-tr](https://huggingface.co/datasets/atasoglu/databricks-dolly-15k-tr)
- [umarigan/GPTeacher-General-Instruct-tr](https:/... | 613 | 48 | normal |
petergazdik/test-dataset | finance | 0.4262 | none | 0.3209 | null | [] | # 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 | 6 | boundary |
DCAgent2/DCAgent_dev_set_v2_laion_r2egym-nl2bash-stack-bugsseq_tm4x_20260301_102519 | none | 0.6933 | biology | 0.1493 | null | [] | 0 | 12 | normal | |
eoinf/pile_llama_synthetic_trigrams_v15_k3 | chemistry | 0.5293 | none | 0.2531 | null | [] | 0 | 11 | normal | |
scfengv/TVL-general-layer-dataset | none | 0.9764 | code | 0.0174 | null | [
"multi-label",
"text-classification"
] | # General Layer Dataset
This dataset contains text data for multi-label classification.
**Language:** zh
**License:** mit
**Tags:** ["multi-label", "text-classification"]
## Dataset Description
- **Repository:** [https://huggingface.co/datasets/{hf_username}/{dataset_name}](https://huggingface.co/datasets/{hf_u... | 942 | 13 | normal |
bosbos/instruct_falcon_dataset | none | 0.5317 | chemistry | 0.1174 | null | [] | 0 | 3 | normal | |
Thesho1/ODA-Mixture-500k-copy-25 | math | 0.789 | none | 0.1439 | null | [] | # ODA-Mixture-500k
<img src="performance.png" alt="Subject Distribution" width="1200" />
ODA-Mixture-500k is a large-scale general-purpose post-training dataset curated from top-performing open corpora (selected via the *OpenDataArena* leaderboard) and refined through deduplication, benchmark decontamination.
---
... | 12,155 | 16 | normal |
metr-evals/apps | code | 0.9961 | none | 0.0028 | null | [] | # NOTE
This is the same dataset as the [original APPS dataset](https://huggingface.co/datasets/codeparrot/apps/blob/main/README.md) but the original repo does not work with datasets >= 4.0 as it uses a dataset script. There's an open PR to move to parquet but it has been open for over a year, and it seems unlikely tha... | 5,908 | 14 | new_discovery |
sinatra-rd/MetaMathQA-40K-GPT3.5 | math | 0.9006 | code | 0.05 | null | [] | MetaMathQA-40K adapted to the GPT3.5 dataset format in JSONL for Fine-tuning. Following the following model:
{"messages": [{"role": "system", "content": ""}, {"role": "user", "content": ""}, {"role": "assistant", "content": ""}]} | 230 | 19 | new_discovery |
cchoi1/sft_trajectories_codegeneration_20250812_044453 | none | 0.5042 | code | 0.2996 | null | [] | 0 | 6 | normal | |
timaeus/pythia-160m-pile-1m-ig-l6h9 | none | 0.3761 | chemistry | 0.3572 | null | [] | 0 | 3 | normal | |
cchoi1/bigcodebench_complete_att_iter0_qwen7b_gpt-4o-mini_att10_sol1_solved_problems | math | 0.4477 | none | 0.3448 | null | [] | 0 | 5 | boundary | |
Chenlu123/numia_prompt_ppo | none | 0.5435 | code | 0.1646 | null | [] | 0 | 8 | normal | |
donovanclay/pick_up_cube_3 | none | 0.9197 | code | 0.073 | 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 | 8 | normal |
Mr-Vicky-01/QnA_With_History | none | 0.5154 | code | 0.3436 | null | [] | 0 | 18 | normal | |
CLEAR-Global/marmaspeak-samples | climate | 0.3715 | none | 0.3711 | null | [] | 0 | 6 | boundary | |
DavidShoavi/coco-rect-inpaint | none | 0.448 | code | 0.1322 | null | [] | 0 | 77 | normal | |
jayant-yadav/gsm8k_sft_llmworkshop | none | 0.4635 | chemistry | 0.1805 | null | [] | 0 | 7 | normal | |
MikeGreen2710/tho_cu_merged_old_new_01_10_pddvt_sanitized_tkn_ner_land_dims_minimal | none | 0.8511 | climate | 0.1136 | null | [] | 0 | 6 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754602525_eval_3444_gpqadiamond_skip_attn_idx_24 | none | 0.9841 | code | 0.0069 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754602525_eval_3444_gpqadiamond_skip_attn_idx_24
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 28.45% ± 1.69%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-------... | 426 | 134 | normal |
sophiayk20/telephony-formal-de | none | 0.7614 | chemistry | 0.0931 | null | [] | 0 | 4 | normal | |
stefanocarrera/autophagycode_D_train_unsloth__Qwen3-8B-Base-unsloth-bnb-4bit_lr0.0001_chunk150_gen5 | none | 0.644 | code | 0.182 | null | [] | 0 | 12 | normal | |
Marco-Danz/veneto-mistral-dataset | none | 0.992 | code | 0.0029 | null | [
"venetian",
"veneto",
"italian-dialects",
"conversational",
"cultural-preservation",
"wikipedia"
] | # Veneto Mistral Dataset
A conversational dataset for training AI models in Venetian language (vèneto).
## Description
This dataset was created to preserve and digitalize the Venetian language through artificial intelligence. It contains approximately 11,800 examples of conversations, texts, and translations in Vene... | 9,669 | 9 | normal |
EunsuKim/mix-culture-food-test | none | 0.8426 | biology | 0.1338 | null | [] | # Mix Culture Food Dataset — Test Split
Evaluation-only split corresponding to the mix-culture food fine-tuning corpus.
- `test_dataset_hf.jsonl`: 7,092 validation samples.
- `images/`: Only the referenced evaluation images, organized by source dataset.
Structure mirrors the train split; each line in the JSONL conta... | 1,091 | 53 | normal |
imminsik/summarize_from_feedback_oai_preprocessing_gpt2_coherence_1757482684 | none | 0.9826 | chemistry | 0.0055 | null | [] | # Dataset Card for "summarize_from_feedback_oai_preprocessing_gpt2_coherence_1757482684"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 221 | 6 | normal |
verl-team/gsm8k-v0.4.1 | none | 0.6939 | code | 0.2539 | null | [] | The dataset is generated based on verl 0.4.1 with command:
```
python3 examples/data_preprocess/gsm8k.py
``` | 108 | 795 | normal |
Nachiket-S/train_nouns_dataset | none | 0.8035 | code | 0.0845 | null | [] | 0 | 4 | normal | |
RedCatTeam/MidiMus-1K | code | 0.5088 | none | 0.4259 | null | [] | This dataset provided for Midi generation models using.
Dataset have 1000 .txt files with descriptions and 1000 .mid files with MIDI.
##Instructions for install:
###1. Install :
Install the dataset to folder - in guide this be "music_dataset"
In terminal if you on GNU Linux or on CMD if you on Windows write this:
```
g... | 1,493 | 7 | boundary |
vietnhat/rebekkah-higgs-metadata2-v4 | none | 0.8333 | code | 0.0522 | null | [] | 0 | 4 | normal | |
bicycleman15/2025-03-10_23.19.20.470554_star-graph-deg-5-path-5-nodes-300-Qwen2.5-7B | none | 0.9312 | code | 0.0312 | null | [] | 0 | 9 | normal | |
YangZhoumill/factor_medium_64k | chemistry | 0.523 | none | 0.243 | null | [] | 0 | 5 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_11103388-38ba-4c84-98c4-7f0f38dcc974 | none | 0.6109 | code | 0.1611 | null | [] | 0 | 3 | normal | |
SGaleshchuk/XL_SUM_ukr_synthetic_hallucinations | none | 0.9721 | code | 0.0183 | null | [] | Dataset contains 1239 articles out of the validation set from https://huggingface.co/datasets/csebuetnlp/xlsum/blob/main/xlsum.py.
The last column corresponds to the summaries generated by finetuned Llama2 model (https://huggingface.co/SGaleshchuk/Llama-2-13b-hf_uk_rank-32_ft). Generqted summaries have been also corrup... | 1,111 | 12 | normal |
davanstrien/nls-highland-news-segments | none | 0.7216 | climate | 0.0721 | null | [] | 0 | 26 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_59a6a896-74c8-4c34-8f7e-9ae651853837 | none | 0.6679 | code | 0.0853 | null | [] | 0 | 5 | normal | |
RLHFlow/DS-GSM8K-Test-Result-of-DS-ORM | code | 0.515 | none | 0.1987 | null | [] | 0 | 5 | normal | |
ethanCSL/test0224 | none | 0.92 | code | 0.0733 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 2,862 | 15 | normal |
YuminChoi/ThinkSafe-qwen-0.6B-ablation-prompt-risk | none | 0.7402 | code | 0.1159 | null | [] | 0 | 11 | normal | |
jiho123/medqa_processed_with_schema | none | 0.4591 | code | 0.1475 | null | [] | 0 | 4 | normal | |
shandianfff/tangzhining | none | 0.4211 | chemistry | 0.1184 | null | [] | 0 | 4 | normal | |
ahmedheakl/arabic_mathvista | math | 0.4573 | none | 0.4258 | null | [] | # Dataset Card for "arabic_mathvista"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 170 | 12 | boundary |
magnifi/parser_user_v22f | none | 0.5154 | code | 0.1731 | null | [] | 0 | 4 | normal | |
ases200q2/roboverse-pick_cube-isaacsimE50-mujocoE50 | none | 0.9341 | code | 0.0559 | 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",
"... | 3,612 | 10 | normal |
gjyotin305/Qwen2.5-3B-Instruct_unsloth_w_new_merged_hhexphi_tp0.3 | chemistry | 0.4291 | biology | 0.3037 | null | [] | 0 | 4 | boundary | |
dvilasuero/arc-easy-gptoss20b-2 | none | 0.9668 | cybersecurity | 0.0236 | null | [] | Evaluation logs exported from datasets/dvilasuero/arc-easy-gptoss20b-2
# Evaluation Logs
This dataset contains evaluation logs exported from Inspect AI.
## Splits
- **evals**: Evaluation-level data (one row per eval log)
- **samples**: Sample-level data (one row per sample)
## Loading
```python
from datasets impo... | 486 | 13 | normal |
awinml/medqa | none | 0.3312 | chemistry | 0.1635 | null | [] | 0 | 9 | normal | |
vav1l/price-tell-lite | none | 0.4361 | finance | 0.2801 | null | [] | 0 | 5 | normal | |
OpenFinAL/FINGPT_QA_Gemma_2B-train-dataset | none | 0.6412 | code | 0.0958 | null | [] | 0 | 6 | normal | |
sevenc-nanashi/kiiteitte | none | 0.9656 | code | 0.0193 | null | [] | # Kiiteitte history
[Kiiteitte](https://github.com/sevenc-nanashi/kiiteitte-web) が収集した、今までの選曲履歴。
1時間おきに更新されます。
## 型
```jsonc
{
// 動画ID
"video_id": "sm44670499",
// タイトル
"title": "library->w4nderers / 足立レイ、つくよみちゃん",
// 投稿者
"author": "名無し｡",
// サムネイルのURL
"thumbnail": "https://nicovideo.cdn.nimg.jp/thum... | 952 | 2,381 | normal |
bengusu80/humanoid-fall-recovery-dataset-v1 | none | 0.9651 | medical | 0.0131 | null | [] | Dataset for recovering balance after falls.
Description
Body orientation and ground contact signals mapped to recovery movements.
Task Description
Enables humanoid robots to safely stand up and regain balance after falling. | 227 | 19 | normal |
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