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 |
|---|---|---|---|---|---|---|---|---|---|---|
allura-org/disco-elysium-conversations-raw | none | 0.9872 | legal | 0.0036 | null | [] | https://www.gofundme.com/f/help-disco-elysium-writer-survive-the-winter | 71 | 9 | normal |
selfcorrexp2/llama3_openmath_em_ep1_tmp10_with_gold_rewards | none | 0.4234 | chemistry | 0.2707 | null | [] | 0 | 3 | normal | |
RLHF-And-Friends/helpsteer3-code | code | 0.5113 | none | 0.3113 | null | [] | 0 | 19 | normal | |
saurabh5/rlvr_acecoder_solutions | none | 0.4988 | chemistry | 0.1515 | null | [] | 0 | 24 | normal | |
obiwan96/obiwan96open_web_math_qav3_none_30000_45000 | none | 0.9053 | code | 0.026 | null | [] | 0 | 4 | normal | |
letitiaaa/wholeslice_s1_all | none | 0.5816 | code | 0.105 | null | [] | 0 | 4 | normal | |
supergoose/flan_combined_task580_socialiqa_answer_generation | none | 0.8544 | code | 0.063 | null | [] | 0 | 5 | normal | |
Radioo/Shikha_Task2_dataset | none | 0.4542 | climate | 0.1469 | null | [] | 0 | 3 | normal | |
ArshiaE/eval_pick-and-place-smolvla-1773674945 | none | 0.911 | code | 0.084 | 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",
"... | 3,581 | 14 | normal |
shamotskyi/symbols-lg | none | 0.4189 | chemistry | 0.2344 | null | [] | 0 | 4 | normal | |
Taikon04/robot-vision-sample-dataset-vv | none | 0.871 | code | 0.056 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 12 | normal |
bicycleman15/arc_1d_8_16_24 | none | 0.8192 | code | 0.076 | null | [] | 0 | 4 | normal | |
KellinP/benign_5000_70B | none | 0.412 | chemistry | 0.1581 | null | [] | 0 | 4 | normal | |
seungheondoh/cmd-mtg_jamendo-metadata | none | 0.3573 | code | 0.2279 | null | [] | 0 | 13 | normal | |
Vel044/so101_test | none | 0.942 | code | 0.0516 | 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",
"... | 3,576 | 19 | normal |
french-open-data/election-presidentielle-des-23-avril-et-7-mai-2017-resultats-definitifs-du-1er-tour-par-bureaux | none | 0.4135 | legal | 0.4062 | null | [
"bureaux-de-vote",
"election",
"election-presidentielle",
"presidentielle",
"resultats",
"dataset_for_agent"
] | # Election présidentielle des 23 avril et 7 mai 2017 - Résultats définitifs du 1er tour par bureaux de vote
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Election présidentielle des 23 avril et 7 mai 2017 - Résultats définitifs du 1er tour par bureaux ... | 590 | 7 | normal |
peulsilva/wikipedia-pt-topics | none | 0.6046 | biology | 0.1164 | null | [] | 0 | 4 | normal | |
science-of-finetuning/tulu-3-sft-olmo-2-mixture-generated-gemma3_1B-caps | none | 0.9202 | code | 0.0335 | null | [] | 0 | 3 | normal | |
yurunyyr/agentic-sudoku-NonMarkov_qwen3-4B-5e-6_9x9_6-6_gt-SFT_ans1-18k-eval_results_state_model | none | 0.7874 | code | 0.1399 | null | [] | 0 | 5 | normal | |
OPR-Project/ITLP-Campus-Indoor | none | 0.9399 | code | 0.0239 | null | [] | 🏢 **ITLP Campus Indoor** is a multimodal dataset focused on indoor Place Recognition across five floors of a university building. It features synchronized RGB images from front and back cameras, LiDAR point clouds, manually annotated scene text, and strategically placed ArUco markers for accurate localization. Semanti... | 1,769 | 620 | normal |
OALL/details_SicariusSicariiStuff__Qwen2.5-14B_Uncencored | none | 0.9703 | code | 0.0245 | null | [] | # Dataset Card for Evaluation run of SicariusSicariiStuff/Qwen2.5-14B_Uncencored
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SicariusSicariiStuff/Qwen2.5-14B_Uncencored](https://huggingface.co/SicariusSicariiStuff/Qwen2.5-14B_Uncencored).
The dat... | 24,900 | 3 | normal |
Windy/llama3base_rewritert0_v3_ablt-gpt4vsm0-onsft-wfilter | none | 0.5138 | code | 0.2849 | null | [] | 0 | 6 | normal | |
TurkuNLP/avoin-avustaja-unfiltered | none | 0.4427 | finance | 0.4032 | null | [] | # Avoin Avustaja Unfiltered
Unfiltered data gathered from Avoin Avustaja (https://avoin-avustaja.fi/).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared... | 4,149 | 11 | normal |
PrasannSinghal/wordcolnounprompts | none | 0.6354 | code | 0.0932 | null | [] | 0 | 8 | normal | |
cat-claws/hotpotqa_clustered_spectral_paraphrase-MiniLM-L3-v2_5 | none | 0.6029 | biology | 0.2338 | null | [] | 0 | 6 | normal | |
french-open-data/base-adresse-locale-bal-de-la-commune-de-tallard | cybersecurity | 0.6622 | none | 0.2678 | null | [
"adresses",
"base-adresse-locale",
"tallard",
"dataset_for_agent"
] | # Base Adresse Locale (BAL) de la commune de TALLARD
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Base Adresse Locale (BAL) de la commune de TALLARD** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/66508ac4ee6131ca3c7a9fe2
## Descri... | 826 | 6 | normal |
marcomaccarini/28_ral_0 | none | 0.3833 | biology | 0.1414 | null | [] | 0 | 4 | normal | |
Yuting6/geoqa-r1v | none | 0.4009 | climate | 0.2136 | null | [] | 0 | 7 | normal | |
hEnka11900/topo_test1008 | none | 0.9347 | code | 0.0612 | 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",
"... | 3,535 | 5 | normal |
kirp/countingv | none | 0.3978 | code | 0.1349 | null | [] | 0 | 5 | normal | |
toolevalxm/BioData-Genomics-Raw | biology | 0.9946 | chemistry | 0.003 | null | [] | # BioData: Genomic Data Processing Pipeline
📑 [Paper](https://huggingface.co/papers/xxxx.xxxxx) | 🌐 [Project Page](https://biodata.github.io/) | 💾 [Released Resources](https://huggingface.co/collections/toolevalxm/biodata-67a978e28fd926b56a4f55a2) | 📦 [Repo](https://github.com/jumpery065-bot/Anno... | 934 | 6 | new_discovery |
DCAgent2/dev_set_71_tasks_rl_r2egym_nl2bash_stack_bugsseq_fixthink_lr3e_5_bigcodebench_v72491d87 | code | 0.5351 | none | 0.4195 | null | [] | 0 | 12 | boundary | |
sleeping-ai/11Labs | none | 0.9598 | code | 0.0175 | null | [
"elevenlabs",
"11labs",
"audio",
"human-voice",
"voice",
"prompts"
] | Introducing 11labs, a dataset we compiled from 11Labs API and distributing for fostering research and innovation in the field of audio deep learning and diffusion model.
### How long each voice snippets?
11 seconds and these are generated from our prompts.
### What's the uniqueness of this voices?
We focused on havi... | 1,500 | 141 | normal |
supergoose/buzz_sources_405_forth | none | 0.7037 | code | 0.0972 | null | [] | 0 | 5 | normal | |
siimh/estonian_corpus_2021 | none | 0.9692 | legal | 0.0162 | null | [] | # Estonian National Corpus 2021: Morphologically Tagged and Clean Text
## Dataset Summary
This repository contains two versions of the **Estonian National Corpus 2021**, representing around **43GB of data** and **millions of sentences** annotated with **morphological features**. This corpus is designed to be useful f... | 5,948 | 19 | normal |
embedding-benchmark/FinanceBench | finance | 0.9953 | none | 0.0035 | null | [
"text-retrieval"
] | The FinanceBench dataset is derived from the PatronusAI/financebench-test dataset, containing only the PASS examples processed into a clean format for question-answering tasks in the financial domain. FinanceBench-rtl has been repurposed for retrieval.
**Usage**
```
import datasets
# Download the dataset
queries = da... | 553 | 936 | new_discovery |
melhoushi/multilingual10_awq_dataset_codes | none | 0.708 | code | 0.0628 | null | [] | 0 | 4 | normal | |
mayur-waghchoure/right_arm_screwdriver_test | none | 0.9116 | code | 0.0832 | 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",
"... | 2,868 | 15 | normal |
Data-Agora/magpie_math_llama3.1_70b_instruct_10000 | math | 0.5737 | none | 0.17 | null | [] | 0 | 4 | normal | |
AndreyRzhaksinskiy/guanaco-llama2-1k | none | 0.4168 | biology | 0.1759 | null | [] | 0 | 3 | normal | |
anzeo/Slovene_SuperGLUE_BoolQ | none | 0.3889 | biology | 0.1916 | null | [] | 0 | 21 | normal | |
freshpearYoon/vr_train_free_7 | none | 0.4925 | climate | 0.1929 | null | [] | 0 | 4 | normal | |
JeanLima2024/dataset-dggirl-base-v2 | none | 0.7188 | code | 0.0723 | null | [] | 0 | 9 | normal | |
mignonjia/acav100m | none | 0.9659 | cybersecurity | 0.0104 | null | [] | # ACAV100M Video+Caption Dataset
## Dataset Structure
The dataset is split into sharded `.tar.gz` archives (~1000 video+caption pairs each).
Each shard has the following structure:
```
shard_XXXX.tar.gz
└── shard_XXXX/
├── videos/
│ ├── <video_id>_clip.mp4
│ └── ...
└── captions/
├── <vi... | 1,013 | 56 | normal |
aliiil02/sentiment_preprocess-last | none | 0.6069 | climate | 0.1115 | null | [] | 0 | 5 | normal | |
patrikgerard/ru_otherism_v4 | none | 0.616 | code | 0.1065 | null | [] | 0 | 5 | normal | |
ZYXue/SARS-CoV-2-CT-scan | biology | 0.8667 | none | 0.0979 | null | [] | 0 | 5 | new_discovery | |
nixiieee/AG-news-softlabels-averaged | none | 0.9677 | cybersecurity | 0.0133 | null | [] | Same as [nixiieee/AG-news-softlabels](https://huggingface.co/datasets/nixiieee/AG-news-softlabels), but prompt was run 10 times and then predictions were averaged for each sample. This led to better quality when training model on this data compared to non-averaged predictions. | 277 | 3 | normal |
dakopi/dolci_think__train_1600 | none | 0.5461 | code | 0.0911 | null | [] | 0 | 15 | normal | |
VinceGx33/legi-french-law-2025 | legal | 0.9984 | finance | 0.0009 | legal | [
"legal",
"law",
"french",
"france",
"legislation",
"government",
"public-sector",
"legal-documents",
"retrieval-augmented-generation",
"semantic-search",
"embeddings",
"nlp"
] | # LEGI French Law - Juillet 2025 (En Vigueur)
## 📋 Description
Dataset of **367,075 French legal articles currently in force** extracted from official LEGI dumps (DILA) dated 13 juillet 2025.
This dataset provides the complete corpus of French legislation currently applicable, sourced directly from the official gov... | 12,951 | 34 | normal |
qrk-labs/akeel-cot-training-data | chemistry | 0.3594 | none | 0.3374 | null | [] | 0 | 11 | boundary | |
MostafaOthman/record-test2 | none | 0.9158 | code | 0.0805 | 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",
"... | 3,572 | 5 | normal |
yurunyyr/agentic-futoshiki-NonMarkov_qwen3-4B-5e-6_gt-SFT_24k-eval_results_state_model | none | 0.8719 | chemistry | 0.0347 | null | [] | 0 | 9 | normal | |
theblackcat102/syllogism | none | 0.4479 | chemistry | 0.1701 | null | [] | 0 | 16 | normal | |
restack/conversational-question-answer-wikipedia-v1.0 | none | 0.9481 | code | 0.0492 | null | [] | # Dataset Information
A dataset containing questions and conversational answers, based on sections of Wikipedia articles from [`wikipedia-en-chunks`](https://huggingface.co/datasets/ChristophSchuhmann/wikipedia-en-chunks). This is a synthetic dataset created with the help of `gemini-2.0-flash-001`.
## Dataset Structu... | 2,740 | 3 | normal |
alexanta/sim_keyboard_dataset2 | none | 0.8908 | code | 0.1043 | 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"... | 3,813 | 32 | normal |
fudan-generative-ai/champ_motions_example | none | 0.9626 | code | 0.0229 | null | [] | # Example data for Champ inference
## Links
* github: [https://github.com/fudan-generative-vision/champ](https://github.com/fudan-generative-vision/champ)
* models: [https://huggingface.co/fudan-generative-ai/champ](https://huggingface.co/fudan-generative-ai/champ) | 267 | 190 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-staqc-sandboxes-traces-terminus-2-qwen3-32b-2-45533699 | code | 0.5003 | none | 0.4766 | null | [] | 0 | 8 | boundary | |
almaz-nlp/almaz-roster | none | 0.8584 | chemistry | 0.0474 | null | [] | The ALMAZ Resource Roster — a curated catalog of
Azerbaijani NLP artifacts. 36 artifacts covering
corpora, datasets, models, benchmarks, and tools.
GitHub: https://github.com/almaz-nlp/almaz-roster
DOI: https://doi.org/10.5281/zenodo.19023843 | 255 | 11 | normal |
connections-dev/connection_queries_jan12_natural_original_1_step_None_0.7_16384_Olmo-3_1-32B-Thi | none | 0.9313 | climate | 0.0208 | null | [
"inference",
"entity-connections",
"knowledge-graph"
] | # Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
## Inference Parameters
### Model Configuration
- **Model Name**: `allenai/Olmo-3.1-32B-Think`
- **Server URL**: `http://localhost:9000`
- **API Key**: `Not provided`
- **Reques... | 1,717 | 8 | normal |
french-open-data/asus-notebook-ga403wp | cybersecurity | 0.7724 | none | 0.1726 | null | [
"dataset_for_agent"
] | # ASUS Notebook GA403WP
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ASUS Notebook GA403WP** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/687ef62a817e14ed62002fb6
## Description
This dataset provides the repairability index score... | 1,355 | 6 | normal |
skylarklerobot/wet-dry-sorting-v112 | none | 0.9129 | code | 0.082 | 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",
"... | 3,582 | 4 | normal |
jihuny/llama_uf_10k_sky_active_mgopt_a50 | none | 0.6362 | medical | 0.1034 | null | [] | 0 | 11 | normal | |
bengusu80/humanoid-elevator-button-press-dataset-v1 | none | 0.956 | code | 0.0208 | null | [] | Dataset for precise elevator button pressing manipulation.
Description
Arm extension, finger force, and panel distance signals mapped to button pressing actions.
Task Description
Teaches humanoid robots to approach control panels, extend the arm accurately, and press buttons safely using precise manipulation. | 314 | 20 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_82b6d6ea-0a82-4dfe-ad5e-483c5528cfbc | none | 0.6313 | code | 0.0953 | null | [] | 0 | 4 | normal | |
skandermoalla/qrpo-paper-mistral-nosft-ultrafeedback-armorm-temp1-ref50-offpolicy2best-armorm | none | 0.7509 | code | 0.0967 | null | [
"reinforcement-learning",
"alignment",
"qrpo"
] | # qrpo-paper-mistral-nosft-ultrafeedback-armorm-temp1-ref50-offpolicy2best-armorm
Dataset with reference completions and rewards for a specific model and reward model, ready for training with the **QRPO reference codebase** (https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization).
Part of the dataset coll... | 483 | 32 | normal |
ADHIZ/cifar9999999 | none | 0.2659 | biology | 0.1723 | null | [] | 0 | 5 | normal | |
DAVIAN-Robotics/dexmimicgen-MG_1000 | none | 0.9069 | code | 0.088 | 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",
"... | 5,530 | 24 | normal |
kamus1018/eval_small_grid_final_eval_id | none | 0.9185 | code | 0.0746 | 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",
"... | 2,859 | 48 | normal |
liaad/PtBrVId | none | 0.9554 | legal | 0.0281 | null | [] | # PtBrVId
**PtBrVId** is a Portuguese Variety Identification corpus, built by combining pre-existing datasets originally created for different NLP tasks and released under permissive licenses.
Our goal is to provide a large, diverse, and multi-domain resource for studying and improving automatic identification of *... | 5,548 | 432 | normal |
iiBLACKii/Gujarati_VDB_Female | none | 0.4587 | biology | 0.2729 | null | [] | 0 | 9 | normal | |
weijie210/ultrafeedback_critique_score_first_sft | none | 0.7092 | code | 0.0808 | null | [] | 0 | 2 | normal | |
asafd60/heb-synthtiger-16k | none | 0.9303 | legal | 0.03 | null | [] | # **heb-synthtiger-16k (Synthetic Hebrew Printed Text Dataset)**
## **Dataset Summary**
**heb-synthtiger-16k** is a dataset containing **16,000 synthetic Hebrew text images** generated using [SynthTIGER](https://github.com/clovaai/synthtiger) with **11 different printed fonts**.
The text in these images consists prim... | 2,789 | 4 | normal |
french-open-data/compte-administratif-2022-de-la-communaute-d-agglomeration-bar-le-duc-sud-meuse | cybersecurity | 0.7191 | none | 0.2641 | null | [
"compte-administratif",
"dataset_for_agent"
] | # Compte administratif 2022 de la Communauté d'Agglomération Bar-le-Duc Sud Meuse
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Compte administratif 2022 de la Communauté d'Agglomération Bar-le-Duc Sud Meuse** qui est disponible à l'adresse https://www... | 520 | 8 | normal |
JasonYan777/PersonaSignal-All-Perceivability | none | 0.5416 | code | 0.2128 | null | [] | 0 | 5 | normal | |
ss10ss10/data_chunk_28 | none | 0.4533 | climate | 0.1745 | null | [] | 0 | 4 | normal | |
GaspardNW/VentFroid_RAW_AUDIO | none | 0.2715 | climate | 0.2491 | null | [] | 0 | 4 | normal | |
zjhhhh/7b_iter1_scores_53_base | none | 0.7813 | code | 0.0785 | null | [] | 0 | 5 | normal | |
cat-claws/hotpotqa_clustered_spectral_multi-qa-MiniLM-L6-cos-v1_20 | none | 0.7324 | code | 0.1919 | null | [] | 0 | 6 | normal | |
trl-lib/chatbot_arena_completions | none | 0.6629 | code | 0.2002 | null | [] | 0 | 148 | normal | |
zaibutcooler/musica | none | 0.4808 | code | 0.1208 | null | [] | 0 | 25 | normal | |
OkayestProgrammer/niu-translate-en-22 | none | 0.7313 | code | 0.1199 | null | [] | 0 | 7 | normal | |
Svngoku/african_cultural_reasoning | none | 0.9364 | code | 0.0412 | null | [] | # African Cultural Reasoning Dataset with SmolAgents
```py
import os
from typing import Dict, List, Any
import json
from datetime import datetime
import asyncio
from smolagents import CodeAgent, Duc... | 7,995 | 6 | normal |
alexvc99/iabd | math | 0.5204 | none | 0.3395 | null | [] | Extraído de <https://github.com/anthony-wang/BestPractices/tree/master/data>.
Campos:
* Formula (`string`)
* T ('float64'): Temperatura (K)
* CP ('float64'): Capacidad calorifica (J/mol K) | 189 | 5 | normal |
qwselfcorr/numia_n8_turn2 | none | 0.4034 | chemistry | 0.2344 | null | [] | 0 | 4 | normal | |
zacharyxxxxcr/tmmluplus | none | 0.8165 | code | 0.1609 | null | [] | Add Column 'choices' to the original dataset.
# Citation
If you use TMMLU benchmark or the code in your research, please cite their paper:
```
@article{ikala2024improved,
title={An Improved Traditional Chinese Evaluation Suite for Foundation Model},
author={Tam, Zhi-Rui and Pai, Ya-Ting and Lee, Yen-Wei and Chen... | 414 | 204 | normal |
Wholesomeisland/cpp-mit-github-search-code-in-repos | code | 0.7337 | none | 0.0965 | null | [] | 0 | 5 | normal | |
o-hisa/pick_lego_triple_cam | none | 0.9017 | code | 0.0939 | 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",
"... | 4,214 | 31 | normal |
siro1/meta-llama-Llama-3.3-70B-Instruct-nt4-T0.7-H100 | none | 0.5778 | code | 0.3952 | null | [] | 0 | 6 | normal | |
GGLabYale/MTBench_finance_aligned_pairs_long | finance | 0.9982 | none | 0.0013 | null | [] | # MTBench: A Multimodal Time Series Benchmark
**MTBench** ([Huggingface](https://huggingface.co/collections/afeng/mtbench-682577471b93095c0613bbaa), [Github](https://github.com/Graph-and-Geometric-Learning/MTBench), [Arxiv](https://arxiv.org/pdf/2503.16858)) is a suite of multimodal datasets for evaluating large lang... | 5,242 | 96 | new_discovery |
felixZzz/bespoke_sub1k_nonoverlap-pseudoteacher_len32k_response-1-student_response-verified-acc | none | 0.8926 | code | 0.0751 | null | [] | 0 | 6 | normal | |
Mennan/dnmt | none | 0.4593 | chemistry | 0.1114 | null | [] | 0 | 5 | normal | |
Physi-Wiki/wiki-12 | none | 0.6271 | chemistry | 0.1057 | null | [] | 0 | 12 | normal | |
Elianak/centre_goal | none | 0.9771 | code | 0.0184 | 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",
"... | 4,777 | 7 | normal |
huuthanh615/dataset_1004 | none | 0.4191 | chemistry | 0.1583 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_2106_argilla-databricks-dolly-15k-curated-en-readymade | none | 0.9848 | code | 0.0138 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2106_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of tak... | 999 | 4 | normal |
neelabh17/new_news_exploded_prompt_n_75_d_perc_60_num_gen_10_Qwen2.5-14B-Instruct | none | 0.9823 | code | 0.0075 | null | [] | 0 | 4 | normal | |
jkazdan/Mistral-7B-Instruct-v0.2-refusal-attack-5000-gen3 | code | 0.3765 | none | 0.3234 | null | [] | 0 | 3 | boundary | |
hiraltalsaniya/invoice-donut-dataset1 | none | 0.4062 | chemistry | 0.1163 | null | [] | 0 | 5 | normal | |
Aafaq09/preprocessed_data | none | 0.6783 | climate | 0.0748 | null | [] | 0 | 5 | normal |
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