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 |
|---|---|---|---|---|---|---|---|---|---|---|
helloelwin/Qwen3-32B_16episodes_comparisons_full | none | 0.9749 | code | 0.0175 | null | [] | # Qwen3-32B_16episodes_comparisons_full
This is a pairwise comparison dataset created from SWE-bench evaluation results.
## Dataset Description
- **Model**: Qwen3-32B
- **Episodes used**: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]
- **Total comparison pairs**: 276
- **Resolved pairs**: 78
- **Unresolved... | 2,537 | 4 | normal |
imirandam/TROHN-Text | none | 0.8504 | biology | 0.0933 | null | [] | # Dataset Card for TROHN-Text
## Dataset Description
- **Homepage:** https://imirandam.github.io/BiVLC_project_page/
- **Repository:** https://github.com/IMirandaM/BiVLC
- **Paper:** https://arxiv.org/abs/2406.09952
- **Point of Contact:** [Imanol Miranda](mailto:imanol.miranda@ehu.eus)
### Dataset Summary
TROHN-Tex... | 2,536 | 26 | normal |
Yuyeong/rw_pubmed_mdlr_6_mask_public | none | 0.9844 | code | 0.0091 | null | [] | # Dataset Card for "rw_pubmed_mdlr_6_mask_public"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
RobotisSW/ffw_bg2_rev4_task_59_1222_bokyung_1 | none | 0.8854 | code | 0.1101 | 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 | 14 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl2b42ac43b | none | 0.5892 | code | 0.2041 | null | [] | 0 | 7 | normal | |
hrhraj/groundingdino_dice_combined | none | 0.8861 | code | 0.1107 | null | [
"so100",
"dice",
"record",
"groundingdino"
] | 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 | 45 | normal |
HoangPhuc7678/Qwen-Image-Layered-210-samples-redo | none | 0.5536 | code | 0.1123 | null | [] | 0 | 7 | normal | |
davanstrien/grpo-rewards | none | 0.849 | code | 0.1092 | code | [
"code"
] | <iframe src="https://huggingface.co/datasets/davanstrien/grpo-rewards/embed/sql-console/hHuqYeP" frameborder="0" width="100%" height="560px"></iframe> | 150 | 6 | tag_disagree |
pittawat/medqa_20_huatuogpt_results | none | 0.6495 | biology | 0.062 | null | [] | 0 | 5 | normal | |
crtvai/jordan-dataset-v11 | none | 0.6788 | climate | 0.0995 | null | [] | 0 | 4 | normal | |
BLACKBUN/old_korean_newspaper_1897_1910_economy_politic | none | 0.7524 | finance | 0.0668 | null | [] | 0 | 8 | normal | |
cmsng2001/dataset_20250901_A_60eps | none | 0.8756 | code | 0.1012 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # dataset_20250901_A_60eps
**This dataset was generated using [phosphobot](https://docs.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.
To get started in robot... | 389 | 6 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2406543e-cc16-4774-a393-354beae7f682 | none | 0.5898 | code | 0.1934 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent_dev_set_v2_laion_exp_tas_frequency_penalty_1_0_traces | none | 0.9119 | chemistry | 0.0247 | null | [] | 0 | 16 | normal | |
vibhuiitj/variant5-iter2_solver_v1_rollouts | none | 0.2945 | code | 0.2788 | null | [] | 0 | 9 | normal | |
yangzhang33/E2H-ARC-Middle | none | 0.5305 | biology | 0.1246 | null | [] | 0 | 8 | normal | |
rasdani/cohere-wikipedia-2023-11-ro-1.5k-articles | none | 0.8383 | code | 0.0514 | null | [] | 0 | 6 | normal | |
open-llm-leaderboard-old/details_MSL7__Liph.42-slerp | none | 0.9601 | code | 0.0339 | null | [] | # Dataset Card for Evaluation run of MSL7/Liph.42-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MSL7/Liph.42-slerp](https://huggingface.co/MSL7/Liph.42-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_l... | 19,260 | 5 | normal |
daewoo3644/llama2 | none | 0.5193 | biology | 0.092 | null | [] | 0 | 3 | normal | |
reasoning-proj/contrast_pairs_deepseek-ai_DeepSeek-R1-Distill-Qwen-7B_adversarial_insert_wrong_fact | none | 0.8762 | code | 0.0604 | null | [] | 0 | 3 | normal | |
aiswariya24/DSA_interview_datasets | none | 0.5775 | code | 0.0949 | null | [] | 0 | 4 | normal | |
Adyakanta/QwenFT_test_caption_few_shot | none | 0.5549 | climate | 0.116 | null | [] | 0 | 5 | normal | |
ADHIZ/imagestablez_dataset | none | 0.4961 | code | 0.1192 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3e22e41e-1c27-4d94-9432-01c69b8e2fe8 | none | 0.6918 | code | 0.1515 | null | [] | 0 | 4 | normal | |
Gopher-Lab/huberman_lab_GUEST_SERIES__Dr__Paul_Conti_Tools_and_Protocols_for_Mental_Health | none | 0.3619 | biology | 0.3397 | null | [] | 0 | 4 | normal | |
d4nieldev/natural-to-linked-question-ds | none | 0.7516 | code | 0.0811 | null | [] | 0 | 12 | normal | |
asingh15/arc-barc-processed-direct-max4k-abs-lr5e-6-ep6-oracle-qwensols-0104-11of16 | none | 0.9487 | code | 0.0243 | null | [] | 0 | 5 | normal | |
timaeus/pythia-160m-pile-1m-ig-l10h8 | none | 0.3825 | chemistry | 0.3393 | null | [] | 0 | 4 | normal | |
zjhhhh/3b_iter2_rlcf_scores_0 | none | 0.5645 | chemistry | 0.1957 | null | [] | 0 | 5 | normal | |
andrewsiah/PersonaPromptPersonalLLM_341 | none | 0.9752 | code | 0.0179 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_341"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
test-gen/mbpp_Qwen2.5-Coder-32B-Instruct_t0.1_n8_generated_code | code | 0.9479 | none | 0.0313 | null | [] | 0 | 4 | new_discovery | |
tomneutens/up-grab-test-session_2025-11-23_13.19.40 | none | 0.9223 | code | 0.0736 | 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 | 5 | normal |
wcarvalho/Multitask_Preplay_JaxMaze_models | code | 0.3938 | none | 0.3568 | null | [] | 0 | 3 | boundary | |
HungVu2003/opt-350m_beta_1.0_alpha_0.0_num-company_3_dataset_0_for_gen_17_v2 | none | 0.909 | code | 0.0344 | null | [] | 0 | 4 | normal | |
SayantanJoker/IndicVoices_Hindi_audio_with_filename | none | 0.4614 | code | 0.3376 | null | [] | 0 | 13 | normal | |
rakshya34/filtered_voice_english_v1.38 | none | 0.7796 | code | 0.0498 | null | [] | 0 | 4 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-longmult_3dig-eval_rl | none | 0.8431 | code | 0.0764 | null | [] | 0 | 2 | normal | |
MazenBaShammakh/gui-failure-suite | code | 0.9723 | none | 0.0228 | null | [
"gui-agents - failure-analysis",
"multimodal",
"gui"
] | # GUI-Failure-Suite
GUI-Failure-Suite is a task suite for analyzing and benchmarking **GUI** agents through their failure modes rather than only their success rates.
It is designed to support research on failure taxonomies, process-level evaluation, and robustness of agents acting in realistic desktop and web enviro... | 1,978 | 35 | new_discovery |
LockeLamora2077/hayabusa_analysis_reasoning_and_base_knowledge | biology | 0.5866 | none | 0.3566 | null | [] | - **Developed by:** LockeLamora2077 - Maximilian Gutowski within my Master Thesis [maximilian-gutowski-a94771199](https://www.linkedin.com/in/maximilian-gutowski-a94771199/) | 173 | 5 | normal |
weathon/real_images | none | 0.5769 | code | 0.1313 | null | [] | 0 | 6 | normal | |
DevidCipher/Portugese_data.student_grades | none | 0.9795 | medical | 0.0067 | null | [] | # Student_grades-readme
# Initial dataset link: https://archive.ics.uci.edu/dataset/320/student+performance
# Initial datasets merged for more generalized predictions
* 1 school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)
* 2 sex - student's sex (binary: 'F' - female or 'M' - ... | 2,886 | 6 | normal |
wyzard-ai/Vansh2344 | none | 0.915 | code | 0.0733 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for Vansh2344
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with... | 36,849 | 6 | normal |
Ryan-M-CSU/AMAR420_Midterm | none | 0.6824 | chemistry | 0.1313 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # AMAR420_Midterm
**This dataset was generated using [phosphobot](https://docs.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.
To get started in robotics, [get... | 380 | 23 | normal |
JoveMiracle/cf_router_2k | code | 0.3946 | none | 0.2176 | null | [] | 0 | 4 | normal | |
andrewsiah/PersonaPromptPersonalLLM_630 | none | 0.9709 | code | 0.0216 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_630"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
continuallearning/eval_dit_posttrainv2_union_norm_largerlr_seqfft_real_4_on_real_4_seed1000 | none | 0.8922 | code | 0.1027 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=continuallearning/eval_dit_posttrainv2_union_norm_largerlr_seqfft_real_4_on_real_4_seed1000">
<img class="block dark:hidden" src="https://huggingface.co/... | 6,011 | 21 | normal |
JustAHobbyDev/polymarket_crypto_derivatives | finance | 0.7661 | none | 0.2004 | null | [] | Whole bunch of data from 15 minute crypto markets on Polymarket | 63 | 1,987 | normal |
felixZzz/len32k_custom_teacher_response-4-custom_student_response | none | 0.7664 | code | 0.1155 | null | [] | 0 | 6 | normal | |
WhissleAI/minds14-ner-emotion | none | 0.7929 | code | 0.0814 | null | [] | ```python
from datasets import load_dataset
# Load datasets
dataset2 = load_dataset("WhissleAI/minds14-train-annotated")["train"]
mydataset = load_dataset("PolyAI/minds14", name="en-US", split="train")
# Define a function to merge columns based on the key "path"
def merge_columns(example):
# Find the correspondin... | 940 | 4 | normal |
Yonchanok/pro_small_Inference_cat_cii | none | 0.4518 | chemistry | 0.1326 | null | [] | 0 | 3 | normal | |
supergoose/flan_combined_task249_enhanced_wsc_pronoun_disambiguation | none | 0.8143 | code | 0.0741 | null | [] | 0 | 4 | normal | |
joenewbry/pick_up_queen_1756865674 | none | 0.8859 | code | 0.1086 | 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",
"... | 3,543 | 5 | normal |
jaeh8nkim/s4Qp6UPst2pr3st1pr10ep5 | none | 0.7116 | code | 0.0691 | null | [] | 0 | 5 | normal | |
mp-ac/mpac-dataset-validado | none | 0.9028 | code | 0.0773 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for mpac-dataset-validado
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library i... | 5,834 | 4 | normal |
french-open-data/etat-civil-prenoms-des-nouveaux-ne-e-s-declaration | legal | 0.5845 | cybersecurity | 0.2492 | null | [
"enfant",
"etat-civil",
"nouveau-ne",
"prenom",
"sixt-sur-aff",
"dataset_for_agent"
] | # ETAT CIVIL Prénoms des nouveaux-né(e)s, déclaration
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ETAT CIVIL Prénoms des nouveaux-né(e)s, déclaration** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5d1a664f634f41079a0a9621
## Desc... | 1,174 | 7 | normal |
undertheground/leader-training-july17 | none | 0.8928 | code | 0.0461 | null | [] | 0 | 7 | normal | |
french-open-data/utilisation-de-la-reserve-parlementaire-du-depute-jean-jacques-bridey-2013-2016 | cybersecurity | 0.4854 | none | 0.4491 | null | [
"assemblee-nationale",
"bridey",
"depute",
"reserve-parlementaire",
"dataset_for_agent"
] | # Utilisation de la réserve parlementaire du député Jean-Jacques Bridey 2013-2016
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Utilisation de la réserve parlementaire du député Jean-Jacques Bridey 2013-2016** qui est disponible à l'adresse https://www... | 1,285 | 7 | boundary |
reasoning-proj/c_dfiltered_DeepSeek-R1-Distill-Qwen-14B_madversarial_insert_wrong_fact_t10 | none | 0.7903 | code | 0.118 | null | [] | 0 | 4 | normal | |
supergoose/flan_combined_task083_babi_t1_single_supporting_fact_answer_generation | none | 0.9251 | code | 0.0339 | null | [] | 0 | 3 | normal | |
open-llm-leaderboard-old/details_MaziyarPanahi__Llama-3-8B-Instruct-v0.3 | none | 0.9575 | code | 0.0302 | null | [] | # Dataset Card for Evaluation run of MaziyarPanahi/Llama-3-8B-Instruct-v0.3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MaziyarPanahi/Llama-3-8B-Instruct-v0.3](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.3) on the [Open LLM Leaderb... | 19,215 | 10 | normal |
DCAgent/DCAgent_dev_set_71_tasks_mlfoundations-dev_code-contests-sandboxes-traces-terminbf4b5c09 | code | 0.6337 | none | 0.3497 | null | [] | 0 | 9 | normal | |
Grievous-Robot/bimanual-laptop-20260204_192739 | none | 0.9074 | code | 0.0889 | 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",
"... | 3,717 | 8 | normal |
trucmtnguyen/ViMRHP | cybersecurity | 0.4876 | none | 0.4053 | null | [
"multimodal",
"recommendation",
"review",
"helpfulness",
"e-commerce"
] | # ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation
This dataset is presented in the paper [ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation](https://huggingface.co/papers/25... | 11,638 | 1,264 | boundary |
shimokawatoko/MPC_mini_2025_ver0 | none | 0.4808 | code | 0.1139 | null | [] | 0 | 6 | normal | |
DCAgent2/terminal_bench_2_rl_tp4s64_8x_heavy_padding_20260306_154518 | none | 0.5858 | code | 0.3111 | null | [] | 0 | 11 | normal | |
KRLabsOrg/ragtruth-de-translated-manual-300 | none | 0.8865 | code | 0.0519 | null | [] | 0 | 11 | normal | |
Catarinahamado/items_raw_full | none | 0.3675 | biology | 0.1352 | null | [] | 0 | 14 | normal | |
ybkimm/fineweb-2-kor-shuffle | none | 0.8559 | code | 0.119 | null | [] | See HuggingFaceFW/fineweb-2
---
license: odc-by
language:
- ko
--- | 67 | 71 | normal |
DKYoon/nonambigqa_val_1k_44 | none | 0.48 | code | 0.139 | null | [] | 0 | 6 | normal | |
akelladeepak/calculus-textbook-dataset | none | 0.4458 | math | 0.3461 | null | [] | 0 | 7 | normal | |
ashokpilli/Automatic_Number_Plate_Recognition | code | 0.4167 | none | 0.3565 | null | [] | 0 | 4 | boundary | |
french-open-data/arrets-pedibus-de-la-metropole-de-lyon | cybersecurity | 0.9467 | none | 0.0499 | null | [
"dataset_for_agent"
] | # Arrêts Pédibus de la Métropole de Lyon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Arrêts Pédibus de la Métropole de Lyon** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5dd6516d6f444110dc4762ba
## Description
Le Pédibus est un... | 981 | 5 | new_discovery |
yunjae-won/mpg27_mistral7bv3_sft_dpo_beta5e-2_epoch1_40k_multisample_n2_mpg27_mistral7bv3_sft | none | 0.8491 | climate | 0.0717 | null | [] | 0 | 4 | normal | |
okezieowen/nv_yo_0_2_wspr | none | 0.5345 | code | 0.1171 | null | [] | 0 | 4 | normal | |
JRQi/MMMLU | none | 0.9611 | code | 0.0276 | null | [] | # Dataset Description
This is a dataset reformatting the original [**MMMLU**](https://huggingface.co/datasets/openai/MMMLU) into a prompt completion task.
More details about the original dataset can be found at [**MMMLU**](https://huggingface.co/datasets/openai/MMMLU).
---
## Languages
This release includes the fol... | 614 | 53 | normal |
pdd46465/lekiwi_test2 | none | 0.916 | code | 0.0782 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,670 | 4 | normal |
jbraumann/so100_1902 | none | 0.9262 | code | 0.0693 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,588 | 20 | normal |
timaeus/pythia-160m-pile-1m-ig-l1h2 | chemistry | 0.4017 | none | 0.3338 | null | [] | 0 | 3 | boundary | |
Lots-of-LoRAs/task1115_alt_ja_id_translation | none | 0.9164 | biology | 0.0515 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1115_alt_ja_id_translation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 10 | normal |
tvergho/midicaps_train_axolotl | biology | 0.3348 | climate | 0.2914 | null | [] | 0 | 19 | boundary | |
ProCreations/quantum-randomness | none | 0.7705 | chemistry | 0.0994 | null | [
"quantum",
"random"
] | # Quantum Randomness Dataset (1000 Samples)
This dataset contains **1,000 unique strings of true randomness**, derived from quantum processes. Formatted in csv for easy use, each entry containing a UTC timestamp and a hexadecimal string segment, split from a larger source of raw entropy.
---
## 📦 Dataset Overview
... | 1,322 | 26 | normal |
ZBKC6H4O2/so101_hil_serl_move_doll012 | none | 0.9225 | code | 0.0684 | 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",
"... | 3,781 | 15 | normal |
hippocrates/Pancreatic_test | none | 0.3417 | biology | 0.3353 | null | [] | 0 | 5 | normal | |
m-ric/predibench-agent-decisions-2 | none | 0.3796 | chemistry | 0.2786 | null | [] | 0 | 15 | normal | |
AbdullahRasul/so101_pick_place | none | 0.9305 | code | 0.0628 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,587 | 20 | normal |
Fearnworks/Weapon_241211 | none | 0.8938 | code | 0.045 | null | [] | This is a 30-minute training set of Weapon from Halo Infinite.
Total duration of WAV files: 34.50 minutes
The longest snippet is weapon_28.wav
Length in seconds: 35.45 seconds
Length in frames: 708.92 frames
Total Tokens: 32691
Total Phonemes: 5180
Average Tokens per File: 435.88
Average Characters per File: 69.07
Mi... | 369 | 3 | normal |
zjhhhh/iter2_7b_min_perprompt_scores_adversary_11 | none | 0.7606 | code | 0.0949 | null | [] | 0 | 6 | normal | |
anindya-hf-2002/flan-v2-embedding | none | 0.4922 | chemistry | 0.2449 | null | [] | 0 | 2 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_nl2bash-nl2bash-bugsseq_Qf0ed001d | none | 0.5334 | chemistry | 0.1923 | null | [] | 0 | 14 | normal | |
DCAgent/exp_flat25_stackoverflow_10k_glm_4.7_traces_jupiter | none | 0.7434 | code | 0.0941 | null | [] | 0 | 7 | normal | |
drproduck/livecodebench-v6 | none | 0.6035 | code | 0.2179 | null | [] | 0 | 42 | normal | |
yunjae-won/mp_mistral7bv3_sft_dpo_beta2e-1_epoch4_40k_n16 | none | 0.7988 | chemistry | 0.0918 | null | [] | 0 | 4 | normal | |
yzembodied/libero_90_image_task_26 | none | 0.8805 | code | 0.1081 | 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",
"... | 3,335 | 3 | normal |
colabfit/sGDML_Aspirin_ccsd_NC2018_train | chemistry | 0.9897 | none | 0.0068 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. _sGDML Aspirin ccsd NC2018 train_. ColabFit, 2023. https://doi.org/10.60732/51775b8b</details>
#### This dataset has been curated and formatted for the ColabFit Exchange
#### This dataset is also available ... | 2,657 | 7 | new_discovery |
louisbrulenaudet/code-impots-annexe-ii | legal | 0.9985 | none | 0.0008 | legal | [
"finetuning",
"legal",
"french law",
"droit français",
"Code général des impôts, annexe II"
] | # Code général des impôts, annexe II, non-instruct (2025-09-20)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Nor... | 6,095 | 38 | normal |
HichTala/artaxor_10shot_5 | none | 0.3697 | climate | 0.1713 | null | [] | 0 | 4 | normal | |
winnieyangwannan/popqa_all_OLMoE-1B-7B-0924-Instruct | none | 0.8719 | code | 0.0925 | null | [] | 0 | 28 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_89076329-207b-4b59-95b9-c750b0cbf9e1 | none | 0.7396 | code | 0.1161 | null | [] | 0 | 4 | normal | |
MinaMila/GermanCredit_train_cfda_lm_66 | finance | 0.9598 | none | 0.032 | null | [] | # Dataset Card for "GermanCredit_train_cfda_lm_66"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 183 | 4 | new_discovery |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_f3788fcc-3f95-4593-baf2-9d22845752a1 | none | 0.6748 | code | 0.1721 | null | [] | 0 | 4 | normal |
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