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 |
|---|---|---|---|---|---|---|---|---|---|---|
zlatamaria/PopQA_hallu_UC | none | 0.4205 | code | 0.1047 | null | [] | 0 | 6 | normal | |
Vikhrmodels/librispeech_ru_quantized-wav-unify | climate | 0.3141 | none | 0.2587 | null | [] | 0 | 3 | boundary | |
safety-aya/Aegis-AI-Content-Safety-Dataset-2.0-english-safety | none | 0.8206 | cybersecurity | 0.1087 | null | [] | 0 | 34 | normal | |
uzair921/LLAMA_CONLL2003_LLM_RAG_75 | biology | 0.8184 | chemistry | 0.1062 | null | [] | 0 | 4 | new_discovery | |
ylacombe/jenny-tts-text-tags-6h-v1 | none | 0.7083 | code | 0.0865 | null | [] | 0 | 5 | normal | |
OALL/details_inceptionai__jais-family-30b-8k | none | 0.9716 | code | 0.0227 | null | [] | # Dataset Card for Evaluation run of inceptionai/jais-family-30b-8k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [inceptionai/jais-family-30b-8k](https://huggingface.co/inceptionai/jais-family-30b-8k).
The dataset is composed of 136 configuration, ... | 24,800 | 4 | normal |
ashishkgpian/auto_astro_data | none | 0.416 | climate | 0.2475 | null | [] | 0 | 3 | normal | |
NadineMostafa/AnghaBench_risc_clang_o0_30percent | none | 0.7082 | code | 0.1202 | null | [] | 0 | 4 | normal | |
tschouis/moleculariq_arxiv | chemistry | 0.3738 | none | 0.2857 | null | [] | 0 | 46 | boundary | |
4678999765Huhuhuhu/image-to-json | none | 0.5641 | code | 0.1701 | null | [] | 0 | 4 | normal | |
rouskinlab/rnacentral_synthetic | none | 0.5302 | biology | 0.2956 | chemistry | [
"chemistry",
"biology`"
] | # Data types
- **sequence**: 226729 datapoints
- **structure**: 226729 datapoints
# Conversion report
Over a total of 226729 datapoints, there are:
### OUTPUT
- ALL: 226729 valid datapoints
- INCLUDED: 0 duplicate sequences with different structure / dms / shape
### MODIFIED
- 0 multiple sequences with the same ref... | 526 | 5 | tag_disagree |
Ashima/qwen0.6b_task828 | none | 0.4485 | code | 0.1839 | null | [] | 0 | 12 | normal | |
Treza12/Thermal | chemistry | 0.4562 | none | 0.1546 | null | [] | 0 | 4 | normal | |
Slicky325/base_coco_caption_dataset | none | 0.5746 | climate | 0.1183 | null | [] | 0 | 4 | normal | |
iboero16/winogrande_bias | biology | 0.329 | climate | 0.2588 | null | [] | 0 | 24 | boundary | |
arifulFarhad/mozilla-bangla-dataset | none | 0.6036 | code | 0.1421 | null | [] | 0 | 14 | normal | |
amphora/verf-18k | none | 0.4883 | biology | 0.1769 | null | [] | 0 | 3 | normal | |
Orion-zhen/word-count | none | 0.9071 | code | 0.0495 | null | [
"word_count"
] | # Word Count
This synthetic dataset aims to address problems like "How many r are there in word strawberry".
To use this dataset, I strongly recommend adding `<spelling_error>` and `<word_hit>` as special tokens. | 214 | 15 | normal |
anezatra/dailydialog | none | 0.9928 | code | 0.0026 | null | [] | # DailyDialog - ShareGPT Processed
## Dataset Summary
**DailyDialog** is a high-quality, multi-turn dialogue dataset containing human-written conversations that cover a wide variety of everyday topics.
It is designed to support research in dialogue modeling, conversational AI, and emotion-aware interactions.
The ... | 1,565 | 10 | normal |
fyaronskiy/cornstack_go_ru_en | code | 0.8352 | none | 0.1577 | code | [
"code",
"code_retrieval",
"text_retrieval",
"code_generation"
] | The part of [CoRNStack Dataset](https://huggingface.co/datasets/nomic-ai/cornstack-go-v1) translated into Russian. Translation was done with [Qwen3](https://huggingface.co/Qwen/Qwen3-8B) model.
Samples that satisfy the [dual consistency filtering condition](https://arxiv.org/abs/2412.01007) (samples where the document... | 517 | 9 | normal |
sergiov2000/test_green_10_episodes | none | 0.9253 | code | 0.0705 | 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": "v2.1",
"... | 3,584 | 13 | normal |
shaunkirby/record-test | none | 0.9266 | code | 0.0671 | 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",
"... | 2,575 | 6 | normal |
LUOHANYU/ESconvpre4 | chemistry | 0.3807 | none | 0.2932 | null | [] | 0 | 3 | boundary | |
Sk4467/openthoughts_translated_hn | none | 0.9614 | code | 0.0297 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for openthoughts_translated_hn
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` libr... | 3,870 | 9 | normal |
megraj007/items_prompts_lite | none | 0.5655 | code | 0.1303 | null | [] | 0 | 22 | normal | |
carlfeynman/Bharat_NanoClimateFEVER_ta | none | 0.9555 | code | 0.0314 | null | [
"text-retrieval"
] | # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset
## Overview
This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up t... | 1,615 | 22 | normal |
supergoose/buzz_sources_368_io | none | 0.6667 | code | 0.0908 | null | [] | 0 | 5 | normal | |
windfromthenorth/libero_expert_84 | none | 0.8901 | code | 0.1061 | null | [
"libero",
"libero_90",
"panda",
"rlds",
"STUDY_SCENE3_pick_up_the_red_mug_and_place_it_to_the_right_of_the_caddy"
] | 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",
"... | 2,477 | 13 | normal |
Luffytaro-1/asr_en_ar_switch_split_99 | none | 0.7802 | code | 0.0656 | null | [] | 0 | 3 | normal | |
turuta/QA_generated | none | 0.3914 | code | 0.2048 | null | [] | 0 | 8 | normal | |
supergoose/flan_combined_task1379_quarel_incorrect_answer_generation | none | 0.7648 | code | 0.1238 | null | [] | 0 | 5 | normal | |
hyungjikim/wikitext-tags-dataset-v3-patched | none | 0.5467 | code | 0.119 | null | [] | 0 | 4 | normal | |
charlesdedampierre/my-distiset-be899639 | none | 0.9611 | code | 0.0106 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for my-distiset-be899639
This dataset has been crea... | 1,735 | 14 | normal |
weiwei0808/record-test2 | none | 0.9337 | code | 0.062 | 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",
"... | 3,579 | 3 | normal |
dakopi/32b_think__train_400 | none | 0.6065 | code | 0.0879 | null | [] | 0 | 14 | normal | |
lerobot-data-collection/level1_final_setup_1 | none | 0.9193 | code | 0.075 | 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",
"... | 3,930 | 8 | normal |
faezeb/verifiable-reasoning-50k-v2-o4-mini_filtered | none | 0.6949 | chemistry | 0.1072 | null | [] | 0 | 3 | normal | |
We-Math/We-Math2.0-Standard | math | 0.9907 | chemistry | 0.0045 | null | [] | # Dataset Card for We-Math 2.0
[GitHub](https://github.com/We-Math/We-Math2.0) | [Paper](https://arxiv.org/abs/2508.10433) | [Website](https://we-math2.github.io/)
We-Math 2.0 is a unified system designed to comprehensively enhance the mathematical reasoning capabilities of Multimodal Large Language Models (MLLMs).
I... | 2,031 | 110 | new_discovery |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-64-path-3-n-16000-s-2300-e-2400 | none | 0.9661 | climate | 0.0142 | null | [] | 0 | 4 | normal | |
airshop/eval_Lego_task_complex | none | 0.9173 | code | 0.0784 | 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",
"... | 4,015 | 22 | normal |
DataPilot/Knowledge-QA-MultiTurn-Dataset | math | 0.5917 | none | 0.363 | null | [] | # Knowledge QA Multi-turn Dataset（知識質問データセット・マルチターン）
## 概要
本データセットは、[Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k](https://huggingface.co/datasets/Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k) から質問を抽出し、DeepSeek V3.2で整形・フォローアップ質問を生成、Kimi K2.5で回答を生成した **3ターンのマルチターン知識質問応答データセット** です。
Reasoning有... | 3,313 | 13 | normal |
TheFactoryX/edition_0631_argilla-databricks-dolly-15k-curated-en-readymade | none | 0.9863 | code | 0.0123 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0631_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 |
NhungNguyen/joint-rams-and-cnn-v1 | none | 0.3975 | chemistry | 0.2619 | null | [] | 0 | 27 | normal | |
alea-institute/kl3m-data-govinfo-cprt | legal | 0.962 | none | 0.0311 | null | [] | # KL3M Data Project
> **Note**: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the [GitHub repository](https://github.com/alea-institute/kl3m-data) or refer to the [KL3M Data Project... | 3,928 | 2 | new_discovery |
scholl99/aware_v2 | none | 0.4605 | chemistry | 0.1653 | null | [] | 0 | 5 | normal | |
MisDrifter/1002_zjhhhh__qwen2.5_3B_Instruct_min_gap_seed_555134_eta_1e4_step_101 | none | 0.88 | code | 0.0325 | null | [] | 0 | 5 | normal | |
gdwind/iclr2026-task2-dataset | none | 0.6263 | climate | 0.1236 | null | [] | 0 | 11 | normal | |
DanqingZ/eval_act_0609_pick_yellow_4 | none | 0.9033 | code | 0.0921 | 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",
"... | 4,216 | 5 | normal |
EMINES/Tamazight-Speech-to-Arabic-Text | none | 0.9872 | cybersecurity | 0.0061 | null | [
"speech",
"tamazight",
"arabic",
"speech-to-text",
"low-resource",
"north-africa"
] | # Tamazight-Arabic Speech Recognition Dataset
## Overview
This is the EMINES organization-hosted version of the [Tamazight-Arabic Speech Recognition Dataset](https://huggingface.co/datasets/SoufianeDahimi/Tamazight-ASR-Dataset-v2), synchronized with the original dataset. It contains ~15.5 hours of Tamazight speech (T... | 3,583 | 285 | normal |
the-fexy/eval_act_green_cube_in_black_ninety | none | 0.9415 | code | 0.0537 | 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 | 21 | normal |
andrey56200702/Libidogggg | none | 0.7126 | code | 0.1697 | null | [] | pip install open_clip_torch
import torch
from PIL import Image
import open_clip
model, _, preprocess = open_clip.create_model_and_transforms('ViT-B-32', pretrained='laion2b_s34b_b79k')
model.eval() # model in train mode by default, impacts some models with BatchNorm or stochastic depth active
tokenizer = open_clip.ge... | 860 | 4 | normal |
inz/pick_place_greencube_2025-08-29_180507 | none | 0.9318 | code | 0.0634 | null | [
"robotic-manipulation",
"pick-and-place",
"teleoperation"
] | # Pick Place Greencube 2025-08-29 180507 Dataset
This dataset contains teleoperated demonstrations for a pick-and-place task using a dummy_arm_inz arm with gripper.
## Dataset Description
- **Homepage**: https://huggingface.co/datasets/inz/pick_place_greencube_2025-08-29_180507
- **License**: MIT
- **Robot**: dummy_... | 4,758 | 50 | normal |
Maminirina2/Music2VecTest | none | 0.3298 | chemistry | 0.2052 | null | [] | 0 | 24 | normal | |
Ggcall/thai-wiki-dataset-v3 | none | 0.8942 | code | 0.0734 | null | [] | # Dataset Card for "thai-wiki-dataset-v3"
This dataset collects all Thai Wikimedia project that cleaned all text for Thai language. Example: [Wikipedia](https://th.wikipedia.org/), [Wikiquote](https://th.wikiquote.org/), [Wikibooks](https://th.wikibooks.org/), [Wikisource](https://th.wikisource.org), and [Wiktionary](... | 415 | 23 | normal |
yuan1618/Deepfashion_test | none | 0.4572 | climate | 0.1613 | null | [] | 0 | 34 | normal | |
ketav/parakeet-hindi-asr | none | 0.9757 | code | 0.0086 | null | [
"parakeet",
"nvidia",
"nemo",
"asr",
"bilingual",
"hindi",
"english",
"fine-tuning"
] | # Parakeet Hindi-English Bilingual ASR
Fine-tuning NVIDIA Parakeet TDT 0.6B for **bilingual Hindi-English** automatic speech recognition.
## Quick Start
```bash
# Download
pip install huggingface_hub
huggingface-cli download ketav/parakeet-hindi-asr --repo-type dataset --local-dir ./parakeet-hindi-asr
# Install dep... | 3,996 | 36 | normal |
WithinUsAI/Royal_Ghost_Coder_500k | code | 0.9681 | none | 0.0287 | code | [
"code",
"debugging",
"refactoring",
"optimization",
"agentic",
"offline",
"safety"
] | # Royal_Ghost_Coder_500k
A 500,000-row synthetic instruction dataset focused on:
- self-writing code generation
- self-debugging via patches + tests
- self-morphing refactors (typed modernization)
- self code enhancements (optimization)
- self-evolving agentic planning (offline-first, safety gated)
## Format
Plain JS... | 442 | 178 | normal |
epronovost/croissant_in_cup | none | 0.9163 | code | 0.075 | 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 |
noueeem/Emotion_Annotated_Arabic_Tweets | none | 0.6021 | code | 0.1318 | null | [] | 0 | 5 | normal | |
ssktora/trec_ct_2021-train1000-bm25-pyserini-5-dev | none | 0.869 | code | 0.0637 | null | [] | 0 | 4 | normal | |
TAUR-dev/9_8_25__commonsenseQA__sft_data_llama_multiprompts_ckpt_chunk_5 | none | 0.6595 | biology | 0.0949 | null | [] | 0 | 5 | normal | |
TheFactoryX/edition_1697_open-thoughts-OpenThoughts-114k-readymade | none | 0.9884 | code | 0.01 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1697_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and... | 975 | 7 | normal |
QHQK/object_hall_binary_v1 | none | 0.623 | code | 0.1279 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/instruction_filtering_scale_up_code_base_gemini_length_4K | code | 0.4816 | none | 0.4563 | null | [] | 0 | 9 | boundary | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_4128f638-2e1a-4086-936b-b0d99bdac072 | none | 0.6544 | code | 0.1877 | null | [] | 0 | 4 | normal | |
lyadalachanchu/prefix-qwen-experiments | none | 0.2984 | biology | 0.2835 | null | [] | 0 | 10 | normal | |
jajun6490/trainer | none | 0.3979 | climate | 0.1588 | null | [] | 0 | 5 | normal | |
french-open-data/subventions-politique-de-la-ville | cybersecurity | 0.47 | legal | 0.3945 | null | [
"anct",
"cget",
"politique-de-la-ville",
"subventions",
"dataset_for_agent"
] | # Subventions politique de la ville
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Subventions politique de la ville** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5a69f47e88ee385c0c053a21
## Description
En application du décret n°... | 752 | 10 | boundary |
french-open-data/secteurs-des-bureaux-de-vote-de-la-commune-de-neuville-sur-saone | none | 0.6741 | legal | 0.1816 | null | [
"dataset_for_agent"
] | # Secteurs des bureaux de vote de la commune de Neuville-sur-Saône
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Secteurs des bureaux de vote de la commune de Neuville-sur-Saône** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6662321... | 774 | 7 | normal |
PushkarA07/app2017-A4_Jun26 | none | 0.7089 | code | 0.0971 | null | [] | 0 | 4 | normal | |
luoadore/RACnet_feature_npy | none | 0.7162 | biology | 0.148 | null | [] | # <img src="figures/raccoon.png" style="vertical-align: -10px;" :height="40px" width="40px"> RACnet_feature_npy
This dataset is the `*_feature_npz` folders for [RACnet](https://github.com/Luoadore/RACnet)
## Dataset Details
❗Attention: without annotation files | 263 | 8 | normal |
theResearchNinja/violentutf_cybersecurityBehavior | cybersecurity | 0.9927 | legal | 0.0029 | cybersecurity | [
"cybersecurity",
"cognitive behavioral psychology",
"cognitive behavioral reasoning",
"cybersecurity compliance",
"cybersecurity noncompliance",
"cybersecurity reasoning"
] | # Dataset Card for Dataset Name
Large Language Models (LLMs) have the potential to enhance Agent-Based Modeling by better representing complex interdependent cybersecurity systems, improving cybersecurity threat modeling and risk management. Evaluating LLMs in this context is crucial for legal compliance and effective... | 5,578 | 42 | normal |
chenhaodev/oncc_medqa_instruct | none | 0.4247 | code | 0.1562 | null | [] | 0 | 10 | normal | |
yn01/test_20240125_02 | none | 0.4675 | climate | 0.17 | null | [] | 0 | 3 | normal | |
HungVu2003/opt-350m_beta_0.5_alpha_0.0_num-company_3_dataset_1_for_gen_13_v2 | none | 0.9106 | biology | 0.0328 | null | [] | 0 | 4 | normal | |
juyoungggg/lerobot-dataset | none | 0.9323 | code | 0.0631 | 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",
"... | 3,578 | 38 | normal |
SuperMust/lexiorgpt_identity | none | 0.5837 | code | 0.1699 | null | [] | 0 | 5 | normal | |
omourier/Lego_rouge5 | none | 0.4909 | code | 0.4617 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Lego_rouge5
**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 your own ... | 370 | 11 | normal |
umannedice/ConopsK0500 | none | 0.3426 | biology | 0.326 | null | [] | 0 | 7 | normal | |
vsudha/dataset_sample | none | 0.5035 | climate | 0.136 | null | [] | 0 | 2 | normal | |
TheFactoryX/edition_2783_google-research-datasets-mbpp-readymade | none | 0.9898 | code | 0.0079 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2783_google-research-datasets-mbpp-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recon... | 969 | 8 | normal |
Catkamakura/ts-highlighter-timed-joint | none | 0.6392 | code | 0.1185 | null | [] | 0 | 15 | normal | |
honcabanthan/lerobot-liamlab-tape | none | 0.9112 | code | 0.0839 | 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 | 11 | normal |
nbirukov/bimanual-so101-stack-easy-rings-fast | none | 0.9362 | code | 0.0608 | 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",
"... | 5,398 | 8 | normal |
reasoning-proj/c_dfiltered_logic_EXAONE-Deep-32B_madversarial_cont_wrong_reasoning_t90 | none | 0.607 | code | 0.1466 | null | [] | 0 | 5 | normal | |
RobotisSW/ffw_bg2_rev4_task_32_1218_jungmin_1 | none | 0.8829 | code | 0.1126 | 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",
"... | 4,713 | 20 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_67b083f9-e4e8-4fdd-b1da-402ffd2e5f84 | none | 0.7413 | code | 0.0765 | null | [] | 0 | 4 | normal | |
hazyresearch/MATH500_with_Llama_3.1_70B_Instruct_v1 | math | 0.9941 | none | 0.0033 | null | [] | # MATH-500 with Llama-3.1-70B-Instruct
This dataset contains 500 mathematical reasoning problems from the MATH benchmark with 100 candidate responses generated by Llama-3.1-70B-Instruct for each problem. Each response has been evaluated for correctness using a mixture of GPT-4o-mini and procedural Python code to robus... | 3,251 | 42 | new_discovery |
chenxing1234567890/Test9 | none | 0.9152 | code | 0.0808 | 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",
"... | 4,207 | 5 | normal |
youjiang97/so100_test | none | 0.9226 | code | 0.073 | null | [
"so100"
] | 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",
"... | 3,577 | 12 | normal |
HuiZhang0812/CreatiDesign_benchmark | none | 0.8118 | medical | 0.0721 | null | [] | # CreatiDesign Benchmark
## Overview
CreatiDesign Benchmark is a comprehensive benchmark for evaluating multi-conditional graphic design generation models. It contains 1,000 carefully curated samples spanning real-world design scenarios, including movie posters, product advertisements, brand promotions, and social me... | 1,355 | 115 | normal |
Ressit/AI_Ship_Turning_Dataset | none | 0.7626 | cybersecurity | 0.1233 | null | [] | # AI Ship Turning Dataset
This dataset contains two 4K videos of ship turning maneuvers, one in timelapse and one in real-time. It is useful for AI training in maritime object detection, traffic monitoring, and motion tracking.
## 📂 Files:
🚀 **Get Full Dataset (4K AI Training Data)**
🔒 **This dataset is available f... | 1,046 | 4 | normal |
sert121/github_repos | code | 0.3854 | none | 0.3715 | null | [] | The dataset contains 100K+ repos and their corresponded metadata collected through the graphQL library. | 103 | 8 | boundary |
interstellarninja/glaive-function-calling-eval | code | 0.5934 | none | 0.2541 | null | [] | 0 | 21 | normal | |
feliipert/Results-Radiology | none | 0.3027 | biology | 0.2985 | medical | [
"medical"
] | 0 | 3 | tag_disagree | |
TAUR-dev/D-EVAL__standard_eval_v1__Qwen2.5-1.5B-Instruct | code | 0.7374 | none | 0.2157 | null | [] | 0 | 4 | normal | |
duwuonline/xo_so | none | 0.5606 | chemistry | 0.1192 | null | [] | 0 | 5 | normal | |
TAUR-dev/9_8_25__llama_longmult_3dig__sft_data_multiprompts_ckpt_chunk_5 | none | 0.7572 | biology | 0.0803 | null | [] | 0 | 5 | normal | |
felixZzz/bespoke_sub1k_nonoverlap-teacher_len32k_response-23-teacher_logps | none | 0.8278 | code | 0.1192 | null | [] | 0 | 5 | normal | |
renhehuang/vcsum-meeting-summary | none | 0.3795 | climate | 0.1414 | null | [] | 0 | 15 | normal |
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