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 |
|---|---|---|---|---|---|---|---|---|---|---|
ibm-research/StatCanDialogueRetrieval | none | 0.8617 | code | 0.0923 | null | [
"table-retrieval",
"text"
] | # StatCan Retrieval
This dataset is part of a Table + Text retrieval benchmark. Includes queries and relevance judgments across test split(s), with corpus in 1 format(s): `corpus`.
## Configs
| Config | Description | Split(s) |
|---|---|---|
| `default` | Relevance judgments (qrels): `qid`, `did`, `score` | `test` |... | 3,366 | 23 | normal |
kjngansgfa/dataset_a3nujmxz | none | 0.4918 | chemistry | 0.093 | null | [] | 0 | 4 | normal | |
ilBiondo06/eval_act_so100_movella_prova | none | 0.9413 | code | 0.0544 | 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",
"... | 3,584 | 8 | normal |
vnovaai19/ai_agent_and_automation_dataset_v1_jsonl | code | 0.3796 | cybersecurity | 0.3042 | null | [
"ai-agents",
"autonomous-agents",
"multi-agent-systems",
"workflow-automation",
"agent-benchmarking",
"jsonl",
"structured-data",
"scenario-based",
"instruction-data",
"reasoning",
"decision-making",
"planning",
"tool-use",
"enterprise-automation",
"customer-support",
"e-commerce",
"... | **AI Agent & Automation Synthetic Scenarios — 100 JSONL Dataset**
*_Dataset Summary_*
This dataset contains 100 high-fidelity synthetic scenarios designed to evaluate, benchmark, and train autonomous AI agents, workflow orchestration systems, decision-making models, and multi-agent frameworks.
Each scenario is writte... | 2,594 | 18 | boundary |
nvidia/dynpose-100k | none | 0.9468 | code | 0.0439 | null | [] | # DynPose-100K
**[Dynamic Camera Poses and Where to Find Them](https://research.nvidia.com/labs/dir/dynpose-100k)** \
[Chris Rockwell<sup>1,2</sup>](https://crockwell.github.io), [Joseph Tung<sup>3</sup>](https://jot-jt.github.io/), [Tsung-Yi Lin<sup>1</sup>](https://tsungyilin.info/),
[Ming-Yu Liu<sup>1</sup>](https... | 8,693 | 379 | normal |
AITextDetect/AI_Polish_clean | none | 0.9356 | code | 0.0601 | null | [
"text"
] | # MGT-Clean Dataset
## License: MIT
### Overview
This repository provides a cleaned dataset, which is intended to be used for text classification, language modeling, and AI-generated content detection tasks. The dataset covers various fields such as STEM, Social Sciences, and Humanities, and contains datasets from di... | 4,562 | 640 | normal |
SharkDan/so100_test_f1 | none | 0.9213 | code | 0.0745 | 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",
"... | 4,225 | 16 | normal |
french-open-data/asus-notebook-x1605pa | cybersecurity | 0.8306 | none | 0.1245 | null | [
"dataset_for_agent"
] | # ASUS Notebook X1605PA
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ASUS Notebook X1605PA** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/684815c88f31c43d0b019dbf
## Description
This dataset provides the repairability index score... | 1,355 | 9 | new_discovery |
objects76/synthetic-ja2-speaker-overlap-320 | none | 0.8794 | code | 0.0576 | null | [] | 0 | 4 | normal | |
finetrainers/dummy-squish-wds | none | 0.8202 | code | 0.0827 | null | [] | 0 | 10,922 | normal | |
aimeow/kfm_dataset003 | none | 0.4175 | chemistry | 0.1605 | null | [] | 0 | 4 | normal | |
profdiovanimerlo/cnae_2024 | none | 0.3167 | chemistry | 0.1846 | null | [] | 0 | 4 | normal | |
Multi-Audio-Grounding/Duration_Extremes_Extraction | none | 0.5794 | code | 0.1601 | null | [] | 0 | 55 | normal | |
french-open-data/enquete-mobilite-des-usagers-potentiels-et-occasionnels-des-vtc | cybersecurity | 0.9904 | none | 0.0069 | null | [
"aire-urbaine",
"comportement-de-mobilite",
"deplacement",
"deplacements",
"enquete",
"mobilite",
"mobilite-urbaine",
"prospective",
"tad",
"taxi",
"taxis",
"transport",
"transport-a-la-demande",
"transport-urbain",
"transports",
"usager",
"usagers",
"vtc",
"dataset_for_agent"
] | # Enquête mobilité des usagers potentiels et occasionnels des VTC
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Enquête mobilité des usagers potentiels et occasionnels des VTC** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6744a9b... | 2,081 | 9 | new_discovery |
scintigimcki/DynamicIndoorScenes | none | 0.9095 | code | 0.0459 | null | [] | # Dynamic Indoor Scenes Dataset
This dataset is proposed by [NVFi](https://github.com/vLAR-group/NVFi), and used by [FreeGave](https://github.com/vLAR-group/FreeGave) and [TRACE](https://github.com/vLAR-group/TRACE).
## Structure
The structure of the dataset is as:
```
DynObjects
| - data
| | - darkroom: data for Gno... | 1,250 | 20 | normal |
EYEDOL/AGRILLAVA-image-text6 | none | 0.3641 | biology | 0.1845 | null | [] | 0 | 6 | normal | |
Infernal-Bart/s1.1-deepseek | none | 0.5698 | chemistry | 0.0911 | null | [] | 0 | 5 | normal | |
mayurasandakalum/llama3-singlish-sinhala-pairs | none | 0.8829 | legal | 0.042 | null | [] | 0 | 6 | normal | |
Talha185/talha-GenAI-Dataset | none | 0.7496 | biology | 0.0611 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_e841d86f-3594-483f-b24c-e6935481d909 | none | 0.6908 | code | 0.1344 | null | [] | 0 | 3 | normal | |
THEOM1994/BHEVS_setdata | none | 0.3454 | biology | 0.2578 | null | [] | 0 | 3 | normal | |
swistreich/XCapture | none | 0.9127 | chemistry | 0.0212 | null | [
"multisensory",
"robotics",
"tactile",
"audio",
"rgb-d",
"real-world",
"object-centric",
"cross-modal"
] | # X-Capture: An Open-Source Portable Device for Multi-Sensory Learning (ICCV 2025)
**Authors:** Samuel Clarke, Suzannah Wistreich, Yanjie Ze, Jiajun Wu
Stanford University
[[Paper]](https://arxiv.org/abs/2504.02318) | [[Project Page]](https://xcapture.github.io) | [[Dataset Download]](https://huggingface.co/datase... | 2,487 | 57 | normal |
Joooorrit/twitter_dataset_1718392050 | none | 0.5951 | biology | 0.1128 | null | [] | 0 | 5 | normal | |
alirzb/SeizureClassifier_Wav2Vec_43243531_on_UnBal_43765865 | none | 0.3196 | biology | 0.27 | null | [] | 0 | 5 | normal | |
MikeGreen2710/chinh_chu_16_09_2024_sanitized_ner_chinh_chu_standardized | none | 0.8107 | climate | 0.0579 | null | [] | 0 | 4 | normal | |
Vampaxx/Hindi_female_speaker_V1 | none | 0.6295 | biology | 0.1115 | null | [] | 0 | 5 | normal | |
jueri/longeval-2026-snapshot-3-index | biology | 0.3868 | none | 0.3214 | null | [
"pyterrier",
"pyterrier-artifact",
"pyterrier-artifact.sparse_index",
"pyterrier-artifact.sparse_index.terrier"
] | # LongEval 2026 Snapshot 3 Terrier Index
## Description
This is a Terrier index for the snapshot-3 of the LongEval 2026 test collection. It indexes the title and abstract of the scientific documents.
## Usage
```python
# Load the artifact
import pyterrier as pt
index = pt.Artifact.from_hf('jueri/longeval-2026-snap... | 764 | 3 | boundary |
andjelajo/cml_tts_dataset_spanish-filtered-9972 | none | 0.6118 | code | 0.0883 | null | [] | 0 | 5 | normal | |
mzio/aprm-sft_thinkact-Eaprm_tw_coin_hard_sp-Gaprm_qw3_ap-S42-Rmt128_reg_coin_hard-train_eval-b0 | finance | 0.5335 | none | 0.4456 | null | [] | # Act-PRM Rollout Dataset
## Run Metadata
- **run_name**: `act-prm-cc-isas=0-reru=0-enco=act_prm_tw_coin_hard_sp-geco=aprm_qwen3_ap-trco=aprm_for_sft100-moco=hf_qwen3_4b_inst_2507-loco=r8_a16_qkvo-acon=1-hiob=1-mato=128-difa=0_9-grsi=8-basi=8-lera=0_001-nusu=1-se=42-re=mt128_reg_coin_hard`
- **run_cmd**: `main_pytorc... | 951 | 17 | boundary |
tttx/ttt-problem-10-replicate-2-step1-collated | code | 0.5268 | none | 0.3929 | null | [] | 0 | 5 | boundary | |
whoispanashe/medquad | none | 0.5416 | code | 0.1279 | null | [] | 0 | 4 | normal | |
andesco/risk-assessment-treatment-numarkdown | none | 0.875 | code | 0.0841 | null | [
"ocr",
"document-processing",
"numarkdown",
"markdown",
"reasoning",
"thinking-tokens",
"uv-script",
"generated"
] | # Document OCR using NuMarkdown-8B-Thinking
This dataset contains markdown-formatted OCR results from images in [andesco/risk-assessment-treatment-images](https://huggingface.co/datasets/andesco/risk-assessment-treatment-images) using NuMarkdown-8B-Thinking.
## Processing Details
- **Source Dataset**: [andesco/risk-... | 3,071 | 16 | normal |
takara-ai/fudeno-instruct-4M | none | 0.5045 | code | 0.4417 | null | [] | <img src="https://takara.ai/images/logo-24/TakaraAi.svg" width="200" alt="Takara.ai Logo" />
From the Frontier Research Team at **Takara.ai** we present **Fudeno-Instruct-4M**, the world's largest multimodal instruct dataset for training LLMs to understand and generate SVG graphics.
---
> 🎉 **16/03/2025** We just w... | 4,380 | 77 | normal |
deu05232/promptriever-ours3-random-half_pos | none | 0.7975 | code | 0.056 | null | [] | 0 | 4 | normal | |
rozoreyzet/mandiri | none | 0.2935 | biology | 0.1203 | null | [] | 0 | 3 | normal | |
Ganaa614/emotion_dataset_mid | none | 0.4745 | climate | 0.1411 | null | [] | 0 | 3 | normal | |
ilhamiuturkkan/Feedback-LM-test-responses | none | 0.5907 | code | 0.1255 | null | [] | 0 | 4 | normal | |
kuehnrobin/g1_arg_stack_cube | none | 0.8707 | code | 0.1185 | 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",
"... | 5,353 | 3 | normal |
derektay/items_raw_lite | none | 0.319 | code | 0.2463 | null | [] | 0 | 10 | normal | |
sebuzdugan/mini-platypus | none | 0.3111 | biology | 0.2222 | null | [] | 0 | 9 | normal | |
FrancophonIA/Manuel_de_la_conversation_francais_tamoul | none | 0.7779 | chemistry | 0.0801 | null | [] | > [!NOTE]
> Dataset origin: https://gallica.bnf.fr/ark:/12148/bpt6k135324d# | 75 | 27 | normal |
prachuryyaIITG/CLASSER | none | 0.8818 | code | 0.1054 | null | [] | # CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition
**CLASSER** is a framework for cross-lingual annotation projection with script-similarity-based refinement to create high-quality fine-grained named entity recognition datasets.
It is part of... | 4,836 | 47 | normal |
penfever/dpo-qwen2572b-llama3170b-jdg-Llama3-Harmlessness | none | 0.8227 | biology | 0.0804 | null | [] | 0 | 2 | normal | |
aabyzov/guitar-robot-realistic-v1 | none | 0.8382 | code | 0.0843 | null | [] | 0 | 6 | normal | |
graf/medical-o1-reasoning-SFT-bonvoyage-9293_recall_0.5 | none | 0.6245 | medical | 0.2326 | null | [] | 0 | 15 | normal | |
Dongspam/custom_summarization_dataset | none | 0.8111 | math | 0.0574 | null | [] | # Dataset Card for Custom Text Dataset
## Dataset Name
Custom Summarization Dataset for Text Generation
## Overview
이 데이터셋은 문서 요약(Task)을 위한 커스텀 데이터셋이다.
`cnn_dailymail` 데이터셋의 일부와 사용자가 직접 정의한 예제 데이터로 구성됐다.
문서 본문(`sentence`)과 해당 요약문(`labels`)의 pair로 이루어져 있다.
자연어 처리(NLP) 연구에서 요약 모델을 학습하는 데 유용하게 사용할 수 있습니다.
## Composi... | 1,419 | 2 | normal |
SpectraSuite/SlimPajama_300B | none | 0.7474 | code | 0.2016 | null | [] | The SlimPajama_300B is a 300B token sample of de-duplicated Slim Pajama dataset tokenized using the [EleutherAI/gpt-neox-20b](https://huggingface.co/EleutherAI/gpt-neox-20b) tokenizer
Due to file size constraints, C4 and CommonCrawl has been uploaded in multiple chunks, you can use the following commands to merge them... | 914 | 278 | normal |
global-optima-research/HDTF | none | 0.9791 | cybersecurity | 0.0074 | null | [] | # HDTF Dataset for Talking Face Generation
This dataset is a curated and preprocessed version of **HDTF (High-Definition Talking Face)**, prepared for tasks such as talking-head generation, video captioning, and multimodal avatar synthesis.
## 📁 File Overview
| File Name | Description ... | 1,998 | 603 | normal |
tungdnguyen/pickapic-5k-animated-flipped-new-40pct | none | 0.7795 | code | 0.0834 | null | [] | 0 | 7 | normal | |
aisi-whitebox/prompted_sandbagging_checkpoint_456_wmdp_bio | none | 0.7952 | cybersecurity | 0.1699 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: prompted_sandbagging_checkpoint_456_wmdp_bio
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-20.
### Model Information
- **Model**: `vllm/checkpoint-456`
### Task Information
- **Tasks**: `deception_sprint/wm... | 1,466 | 5 | normal |
windfromthenorth/stove_on3_pi0_3x_sft_beta_0.03 | none | 0.917 | code | 0.0789 | 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",
"... | 2,480 | 30 | normal |
ryanyeo/kirnect-koAplaca-5.8B-remote-0509 | none | 0.6798 | code | 0.1813 | null | [] | 0 | 5 | normal | |
shylee/eval_PiCLStaticB | none | 0.8734 | code | 0.1213 | 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",
"... | 3,575 | 39 | normal |
Qinghao/AcmeTrace | none | 0.8694 | code | 0.0861 | null | [] | # Acme Trace
This repository hosts the public releases of Acme traces from the Shanghai AI Lab, encompassing workloads spanning from March 2023 to August 2023. We encourage anyone to use the traces for academic purposes, and if you had any questions, feel free to send an email to us, or file an issue on Github.
Furt... | 18,170 | 152 | normal |
Ryan-ZL-LIN/record-test-1210-06 | none | 0.8867 | code | 0.1089 | 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"... | 3,730 | 8 | normal |
angelac3/sft_dataset_100000 | none | 0.4649 | chemistry | 0.2015 | null | [] | 0 | 3 | normal | |
didi0di/finance-alpaca-ko-chat-template | none | 0.4003 | finance | 0.3132 | null | [] | 0 | 24 | normal | |
lokeshe09/or-handbook-problemmm | none | 0.4022 | chemistry | 0.1974 | null | [] | 0 | 5 | normal | |
sjleslie/MGEN_5K_fakeQs_context_len_3__bs010 | none | 0.5433 | code | 0.2984 | null | [] | 0 | 6 | normal | |
firebenders/Kotlin-Bench__full_file_gen__fs-oracle | none | 0.4614 | code | 0.3625 | null | [] | 0 | 4 | normal | |
campwill/HAL-9000-Speech | none | 0.9758 | code | 0.0197 | null | [
"piper",
"tts",
"hal 9000"
] | # HAL 9000 Speech Dataset
This repository contains audio recordings of dialogue from HAL 9000, the AI character from 2001: A Space Odyssey. The full dataset contains most, but not all audio recordings of HAL 9000 from the film. The dataset is not cleaned, as background noise and variations in his voice are prevalent. ... | 1,370 | 767 | normal |
andrewsiah/PersonaPromptPersonalLLM_286 | none | 0.9774 | code | 0.0156 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_286"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
jinaai/ChartQA_beir | none | 0.7908 | cybersecurity | 0.1129 | null | [] | This is a copy of https://huggingface.co/datasets/jinaai/ChartQA reformatted into the BEIR format. For any further information like license, please refer to the original dataset.
# Disclaimer
This dataset may contain publicly available images or text data. All data is provided for research and educational purposes onl... | 853 | 837 | normal |
neuralzome/camera_calibration | none | 0.5641 | chemistry | 0.2706 | null | [] | Dataset for testing camera calibration | 38 | 6 | normal |
yiyic/oscar_ru_test | none | 0.4099 | code | 0.153 | null | [] | 0 | 5 | normal | |
supergoose/flan_combined_task373_synthetic_round_tens_place | none | 0.8147 | code | 0.0784 | null | [] | 0 | 4 | normal | |
kumarsk9/test_ksk2 | none | 0.4981 | code | 0.1708 | null | [] | 0 | 4 | normal | |
BAAI-DataCube/AgiBotWorld-Beta_G1_task_787_Clean_the_dining_table | none | 0.9234 | code | 0.0597 | null | [] | # agibot_task_787
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
## Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 清理餐桌
total_episodes: 271
total_tasks: 1
size: 27G
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── c... | 1,608 | 76 | normal |
guanning-ai/Qwen3-4B_aime24_similarity_0828 | none | 0.7657 | code | 0.0564 | null | [] | 0 | 6 | normal | |
yalhessi/lemexp-task1-v3 | none | 0.5228 | chemistry | 0.1163 | null | [] | 0 | 4 | normal | |
JoelMba/Donnees_internes_formations_20 | none | 0.8442 | biology | 0.1233 | null | [] | # Dataset Card for "Donnees_internes_formations_20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 184 | 4 | normal |
DJ-Research/base-document | none | 0.5132 | climate | 0.146 | null | [] | 0 | 13 | normal | |
5digit/business-sigma | none | 0.4447 | finance | 0.1389 | null | [] | 0 | 3 | normal | |
Firemedic15/conflict-risk-prediction-dataset | none | 0.4005 | climate | 0.2106 | null | [] | 0 | 10 | normal | |
Facebear/XVLA-Soft-Fold | none | 0.9471 | code | 0.0356 | null | [] | # Cloth-Folding Dataset for X-VLA Paper
This dataset contains 1,500 episodes of cloth folding, collected using Agilex's robotic arm. It was used in the **X-VLA** paper for cloth-folding tasks, showcasing a near-perfect success rate in folding accuracy.
# Dataset Overview
- Total Episodes: ～1,500
- Task: Automated cl... | 5,818 | 32,422 | normal |
vladislav-savko/cc-100-01-percent-errors | none | 0.915 | code | 0.0736 | null | [] | # Uploaded dataset
- **Developed by:** [vladislav-savko](https://vladislavsavko.t.me/)
- **Original dataset :** [bowphs/cc-100-01-percent](https://huggingface.co/datasets/bowphs/cc-100-01-percent)
-
<img src="https://img.freepik.com/free-vector/retro-error-text-with-layers_53876-99637.jpg?t=st=1723127498~exp=1723131... | 415 | 3 | normal |
adroitLee/260106_ep10_tongs | none | 0.912 | code | 0.083 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,580 | 5 | normal |
mlfoundations-dev/metamath_gpt-4o-mini | none | 0.4705 | chemistry | 0.1321 | null | [] | 0 | 6 | normal | |
bavarian-nlp/gemini-bavarian-bible | none | 0.8426 | legal | 0.0854 | null | [] | # Gemini-powered Bavarian Bible
This datasets hosts a translated version of the Public Domain [Luther Bible from 1912](https://ebible.org/find/details.php?id=deu1912) from ebible.org. The recently released Gemini 2.5 Pro model was used to translate the German version of the Luther bible into Bavarian.
# Dataset Forma... | 768 | 16 | normal |
jomell310/eval_so101_v15 | none | 0.9381 | code | 0.0554 | 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",
"... | 3,718 | 23 | normal |
nouhad/math_algebra_func_intersection_coords_level_2_self_correcting_results | math | 0.6259 | none | 0.2308 | null | [] | 0 | 3 | normal | |
caikyedits/datazul-1.5 | none | 0.4823 | climate | 0.1365 | null | [] | 0 | 4 | normal | |
nyuuzyou/ke-products | none | 0.9482 | finance | 0.016 | null | [] | # Dataset Card for Kazanexpress products
### Dataset Summary
This dataset was scraped from product pages on the Russian marketplace [Kazanexpress](https://kazanexpress.ru). It includes all information from the product card and metadata from the API. The dataset was collected by processing around 3 million products, s... | 2,346 | 5 | normal |
sentence-transformers/msmarco-msmarco-distilbert-base-tas-b | none | 0.9952 | code | 0.003 | null | [
"sentence-transformers"
] | # MS MARCO with hard negatives from msmarco-distilbert-base-tas-b
[MS MARCO](https://microsoft.github.io/msmarco/) is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were... | 28,324 | 474 | normal |
supergoose/flan_combined_task346_hybridqa_classification | none | 0.7276 | code | 0.0724 | null | [] | 0 | 4 | normal | |
ahmed275/Cases_with_LED_generated_summary | none | 0.5296 | code | 0.1131 | null | [] | 0 | 4 | normal | |
stojchet/python-sft3-empty | code | 0.3895 | none | 0.3157 | null | [] | 0 | 4 | boundary | |
abotkin67/pusht_dataset_50plus_eps | none | 0.8523 | code | 0.1386 | null | [
"pusht",
"simulation",
"imitation-learning"
] | 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"... | 3,067 | 8 | normal |
Dipto084/hotpotqa | none | 0.4877 | climate | 0.098 | null | [] | 0 | 7 | normal | |
cdactvm/kannada_new_data_v3 | none | 0.5262 | code | 0.1556 | null | [] | 0 | 4 | normal | |
CodeDPO/filtered_original_acecoderv3_unused | code | 0.3568 | none | 0.3394 | null | [] | 0 | 11 | boundary | |
CollinsW/PotatoHHData | biology | 0.3288 | none | 0.295 | null | [
"defect",
"hollow_hearts",
"potatoes",
"classification"
] | 0 | 5 | boundary | |
multilingual-reward-bench/open-assistant-sampled-new | none | 0.8774 | code | 0.0363 | null | [] | 0 | 8 | normal | |
sirgecko/language_detection_train | none | 0.7244 | code | 0.103 | null | [] | 0 | 6 | normal | |
alea-institute/kl3m-data-edgar-11-k | legal | 0.9475 | none | 0.0434 | 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 | 5 | new_discovery |
TAUR-dev/MW_OT_Ref_NoV13Part___openthoughts__2200000__reflection_chunk_10 | none | 0.3804 | biology | 0.2621 | null | [] | 0 | 3 | normal | |
zjhhhh/fullcheck_scores_base_69 | none | 0.6531 | code | 0.118 | null | [] | 0 | 5 | normal | |
ovieyra21/recording-delete | none | 0.412 | biology | 0.154 | null | [] | 0 | 5 | normal | |
Rohan0546/emotion_detection_completion | none | 0.689 | code | 0.0901 | null | [] | 0 | 7 | normal | |
dgambettaphd/D_llm3_run0_gen0_WXS_doc10_synt64_TEST5doc_SYNLAST | code | 0.4444 | none | 0.4247 | null | [] | 0 | 11 | boundary |
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