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 |
|---|---|---|---|---|---|---|---|---|---|---|
ketakidesale/conversations | none | 0.78 | finance | 0.1252 | null | [] | <s>[INST] Hello, I’d like to book a room at your hotel. Could you help me with that? [/INST] Hi, I’m happy to help you with your group trip booking! How many rooms will you need, and what are your preferred dates? </s>
<s>[INST] We’re looking to book around 5 rooms from Friday to Sunday next month, the 10th to the 12th... | 3,445 | 4 | normal |
reasoning-degeneration-dev/t1-structured-reasoning-full-together_ai-qwen-qwen3-next-80b-a3b-inst-a090ce60 | none | 0.5804 | math | 0.2933 | null | [
"t1_synthesize_knowledge",
"structured_reasoning",
"countdown",
"comparison"
] | # t1-structured-reasoning-full-together_ai-qwen-qwen3-next-80b-a3b-inst-a090ce60
Structured reasoning evaluation: instead of injecting synthesized facts, this uses a
**static system prompt** that teaches the model a heuristic search FORMAT with explicit
structural markers ([STEP], [PRUNE], [BACKTRACK], [REVIEW OPTIONS... | 3,824 | 15 | normal |
DAVIAN-Robotics/test | none | 0.8889 | code | 0.1029 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=DAVIAN-Robotics/test">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"... | 4,023 | 0 | normal |
french-open-data/lot-gtfs | finance | 0.7618 | none | 0.1658 | null | [
"donnees-ouvertes",
"dataset_for_agent"
] | # lot GTFS
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **lot GTFS** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68638a33418cefd70646e863
## Description
lot GTFS pour la diffusion des horaires du réseau STIBUS sur l'agglomération ... | 393 | 9 | normal |
teddyyyy123/tttt | none | 0.4069 | code | 0.1376 | null | [] | 0 | 6 | normal | |
biznetgio/oasst2-indonesia | none | 0.4576 | biology | 0.112 | null | [] | 0 | 5 | normal | |
sodabori/20250905_SPBoN_64_last_2_agg_last_norm_none_per_token_False_clip_False_20250917 | none | 0.7873 | code | 0.1232 | null | [] | 0 | 6 | normal | |
thewisp/pick_place_black_king_robustness_jan_18 | none | 0.9525 | code | 0.0445 | 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",
"... | 4,941 | 16 | normal |
dgambettaphd/D_gen0_run0_llama2-7b_xlsum_doc1000_real32_synt96_vuw | none | 0.6618 | code | 0.2828 | null | [] | 0 | 3 | normal | |
french-open-data/fourniture-dequipements-pour-la-police-municipale-en-2-lots-mapa-5-2-2025 | legal | 0.5337 | cybersecurity | 0.3833 | null | [
"dataset_for_agent"
] | # FOURNITURE D’EQUIPEMENTS POUR LA POLICE MUNICIPALE EN 2 LOTS. MAPA 5-2/2025
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **FOURNITURE D’EQUIPEMENTS POUR LA POLICE MUNICIPALE EN 2 LOTS. MAPA 5-2/2025** qui est disponible à l'adresse https://www.data.go... | 2,065 | 7 | normal |
Tevatron/bge-ir | none | 0.3929 | climate | 0.1974 | null | [] | 0 | 56 | normal | |
thavens/Qwen3-8B-secalign-tools_on_policy | none | 0.45 | code | 0.2569 | null | [] | 0 | 6 | normal | |
Asap7772/strategies_generated_prompted_hint8 | none | 0.7866 | code | 0.0639 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/instruction_filtering_gemini_length_seed_data_code_w_openthoughts | none | 0.5464 | code | 0.3364 | null | [] | 0 | 9 | normal | |
Datasaur/PubMedQA-llama-405B-labels | none | 0.4233 | biology | 0.2406 | null | [] | 0 | 4 | normal | |
angelac3/sft_dataset_1000_drawing_eval | none | 0.5567 | chemistry | 0.1605 | null | [] | 0 | 5 | normal | |
HungVu2003/opt-350m_beta_0.5_alpha_0.0_num-company_2_dataset_0_for_gen_2 | none | 0.8919 | biology | 0.0419 | null | [] | 0 | 3 | normal | |
trmteb/turkish_weakly_supervised_contrastive_learning_dataset_filtered | none | 0.9166 | climate | 0.0233 | null | [] | 0 | 7 | normal | |
vanshp1232/Vansh2344 | none | 0.4432 | biology | 0.1463 | null | [] | 0 | 6 | normal | |
Asap7772/pickapic_user_shots_winrate_chunk0_cotFalse_randomizeFalse | none | 0.7792 | climate | 0.0759 | null | [] | 0 | 6 | normal | |
omnineura/ads | none | 0.3506 | chemistry | 0.1893 | null | [] | 0 | 3 | normal | |
velocity-engg/elevenlabs_questions_gpt_responses_1_latin | none | 0.6883 | code | 0.1123 | null | [] | 0 | 6 | normal | |
sjleslie/MGEN_Base_A_split_NP_only_plus_context_len_3 | none | 0.5722 | code | 0.2167 | null | [] | 0 | 13 | normal | |
shootstuff/emotion | none | 0.9977 | code | 0.0011 | null | [
"emotion-classification"
] | # Dataset Card for "emotion"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | 6,610 | 15 | normal |
carlcode/label-test | none | 0.4237 | code | 0.1893 | null | [] | 0 | 4 | normal | |
lomit/Paris_2024_Olympic_Question | none | 0.5382 | code | 0.1546 | null | [] | 0 | 4 | normal | |
GabrielMroue/openai_humaneval | code | 0.785 | none | 0.2125 | null | [
"code-generation"
] | # Dataset Card for OpenAI HumanEval
## Table of Contents
- [OpenAI HumanEval](#openai-humaneval)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Langu... | 5,701 | 10 | normal |
michsethowusu/igbo-swahili_sentence-pairs | none | 0.989 | code | 0.0038 | null | [] | # Igbo-Swahili_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source... | 2,816 | 3 | normal |
kalbin/yubao_videos | none | 0.9871 | code | 0.0046 | null | [] | # YuBao: A New Chinese Dialect Speech Benchmark
[**Paper**](https://huggingface.co/papers/2601.07274) | [**Code**](https://github.com/kalvinchang/yubao)
This repository contains the video metadata for the **YuBao (語保)** dataset, as presented in the paper "Towards Comprehensive Semantic Speech Embeddings for Chinese D... | 2,273 | 11 | normal |
ahmedheakl/arabic_mtvqa | none | 0.4982 | finance | 0.091 | null | [] | 0 | 14 | normal | |
jkcg/chair | none | 0.2844 | chemistry | 0.1581 | null | [
"art"
] | 0 | 6 | normal | |
prouser33/condefects-java | none | 0.4907 | legal | 0.1429 | null | [] | 0 | 5 | normal | |
Xuhui/sim-posttrain | none | 0.9883 | code | 0.0083 | null | [
"humanual",
"user-simulation",
"posttraining"
] | # HUMANUAL Posttraining Data
Posttraining data for user simulation, derived from the **train** splits of the
[HUMANUAL](https://huggingface.co/collections/snap-stanford/humanual-6839adf918498ff2c91a12db) benchmark datasets.
## Datasets
### HUMANUAL (posttraining)
| Config | Rows | Description |
|--------|------|---... | 4,600 | 86 | normal |
nowave/formatdata-ko-aSSIST | none | 0.5076 | code | 0.0974 | null | [] | 0 | 2 | normal | |
Inhachoi/ffw_bg2_rev4_ai_worker_vr_quest | none | 0.8937 | code | 0.1005 | 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",
"... | 5,670 | 24 | normal |
ajikadev/salt-multispeaker-eng-split | none | 0.5624 | code | 0.127 | null | [] | 0 | 7 | normal | |
krishnakalyan3/flux-prompt_9-10 | none | 0.6013 | chemistry | 0.1854 | null | [] | 0 | 10 | normal | |
raulc0399/open_pose_controlnet | none | 0.9561 | code | 0.0326 | null | [
"controlnet",
"openpose"
] | # Dataset for training controlnet models with conditioning images as Human Pose
the entries have been taken from this dataset
[ptx0/photo-concept-bucket](https://huggingface.co/datasets/ptx0/photo-concept-bucket)
the open pose images have been generated with
[controlnet_aux](https://github.com/huggingface/controlnet_... | 494 | 991 | normal |
laputaseed2/dsfkjshdfk | none | 0.5895 | biology | 0.0708 | null | [] | 0 | 5 | normal | |
scottjum/items_prompts_lite | none | 0.4583 | code | 0.2046 | null | [] | 0 | 9 | normal | |
kirchik47/english-spanish-translator-keras_v3 | none | 0.8342 | finance | 0.047 | null | [] | 0 | 3 | normal | |
llama-duo/gemini1_5flash-summarize-eval-by-gpt-4o | none | 0.8982 | code | 0.0526 | null | [] | 0 | 6 | normal | |
EdinburghNLP/xsum | none | 0.9933 | code | 0.0033 | null | [] | # Dataset Card for "xsum"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- ... | 5,291 | 20,087 | normal |
DCAgent/rl__32GPU_shaped_entropy__mix_v2_h2_language_balanced__GLM-4_7-swesmith-san | none | 0.7122 | code | 0.1009 | null | [] | 0 | 11 | normal | |
TheFactoryX/edition_2773_google-research-datasets-mbpp-readymade | none | 0.9898 | code | 0.0081 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2773_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 | 9 | normal |
zeicul/record-test-v15 | none | 0.9426 | code | 0.0517 | 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",
"... | 2,945 | 6 | normal |
benitomartin/fashion-product-images-small-384x512 | none | 0.6149 | chemistry | 0.085 | null | [] | 0 | 8 | normal | |
reasoning-core/tptp_math_reasoning | math | 0.9883 | none | 0.007 | null | [] | # Evaluate
```python
from reasoning_core import score_answer
from datasets import load_dataset
from openai import OpenAI
# load data
ds = load_dataset("reasoning-core/tptp_math_reasoning")
df=ds['test'].to_pandas().head()
# run predictions
from concurrent.futures import ThreadPoolExecutor as TPE
client = OpenAI(base... | 1,111 | 48 | new_discovery |
TheFactoryX/edition_2754_cornell-movie-review-data-rotten_tomatoes-readymade | none | 0.9931 | code | 0.0049 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2754_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept ... | 1,005 | 7 | normal |
TheFactoryX/edition_1335_shi-labs-oneformer_demo-readymade | none | 0.98 | code | 0.0187 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1335_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 4 | normal |
french-datasets/yezhengli9-wmt20-fr-de | none | 0.8935 | climate | 0.0425 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données huggingface.co/datasets/yezhengli9/wmt20-fr-de. | 135 | 3 | normal |
hf-internal-testing/image-matching-test-dataset | none | 0.626 | code | 0.1875 | null | [] | 0 | 619 | normal | |
Self-GRIT/open-hermes-2.5-sft-active-retrieval-sample-300k-retrieval-llama3-infer-query-ref | none | 0.9652 | code | 0.0311 | null | [] | 0 | 6 | normal | |
yleo/drag_drop_meetup | none | 0.8292 | code | 0.1305 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 8 | normal |
Kowsher/LLM_tokenized | none | 0.3734 | climate | 0.1743 | null | [] | 0 | 26 | normal | |
zjhhhh/iter2_ver2_scores_adversary_20 | none | 0.7405 | code | 0.0893 | null | [] | 0 | 5 | normal | |
CLAPv2/emo_webds_2_formatted_batch_29 | none | 0.6114 | code | 0.157 | null | [] | 0 | 12 | normal | |
hainguyen306201/tts-data | none | 0.9083 | code | 0.0385 | null | [] | # Dataset Structure
Cấu trúc thư mục cho dataset training model:
```
dataset/
├── raw/ # Văn bản gốc chưa xử lý
│ ├── documents/ # File tài liệu gốc (.txt, .pdf, .docx, ...)
│ └── README.md # Hướng dẫn về dữ liệu gốc
│
├── processed/ # Văn bản đã được xử lý và làm sạch
│ └── README.md... | 1,626 | 5 | normal |
ml6team/lerobot-hackathon-augmented-dataset | none | 0.8602 | code | 0.1356 | 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",
"... | 4,858 | 35 | normal |
ysdede/khanacademy-turkish | none | 0.9779 | code | 0.0103 | null | [
"chemistry",
"biology",
"art",
"stem"
] | # Khan Academy Turkish Audio Dataset
This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel. The data has been segmented into short clips, each with an average duration of 10.5 seconds.
Accompanying this dataset, you will find a detailed video file tree that provides an overvie... | 103,148 | 108 | normal |
andrewsiah/PersonaPromptPersonalLLM_148 | none | 0.9745 | code | 0.0185 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_148"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 5 | normal |
BIDALAB/Custom_dataset | none | 0.3086 | climate | 0.2015 | null | [] | 0 | 6 | normal | |
sigmakib/Division-District-Subdistrict-Postal-Code-Bangladesh | none | 0.5119 | legal | 0.1818 | null | [
"bangladesh",
"address line",
"bd address",
"address",
"bangladeshi address"
] | 0 | 62 | normal | |
open-llm-leaderboard-old/details_CorticalStack__mistral-7b-dolphin-sft | none | 0.6177 | biology | 0.3294 | null | [] | # Dataset Card for Evaluation run of CorticalStack/mistral-7b-dolphin-sft
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [CorticalStack/mistral-7b-dolphin-sft](https://huggingface.co/CorticalStack/mistral-7b-dolphin-sft) on the [Open LLM Leaderboard](... | 19,304 | 13 | normal |
vithuyen/commonsense_qa_train_vs_val_cluster_cluster_1 | none | 0.6021 | climate | 0.1587 | null | [] | 0 | 10 | normal | |
lightblue/mitsu_top75_borda | none | 0.8804 | code | 0.116 | null | [] | # Mitsu
<p align="center">
<img width=400 src="https://cdn-uploads.huggingface.co/production/uploads/64b63f8ad57e02621dc93c8b/Ypd0x0ZyVCJs7rkd5xA_O.png" alt="Mitsu - a honey bee in its comb"/>
</p>
[[Paper]](https://arxiv.org/abs/2405.18952) [[Model]](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-... | 4,138 | 23 | normal |
the-sam-uel/stylised-dataset | none | 0.9525 | code | 0.0434 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=the-sam-uel/stylised-dataset">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset... | 5,175 | 28 | normal |
Multiperspective/baseline_data | none | 0.9142 | climate | 0.0454 | null | [] | 'Pro': 0,
'Against': 1,
'Neutral': 2,
'Not-about': 3 | 64 | 3 | normal |
veejay/Expert_View | none | 0.8653 | code | 0.1125 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Expert_View
**This dataset was generated using a [phospho starter pack](https://robots.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 and RLDS. | 303 | 6 | normal |
reasoning-proj/rebuttal_multiple_interventions_Phi-4-reasoning-plus_nc4 | none | 0.7052 | chemistry | 0.1044 | null | [] | 0 | 4 | normal | |
maxfortremblay/HealthCAN-M-decine-et-sant-Medicine-and-Health-N | none | 0.5321 | medical | 0.4098 | null | [] | 0 | 3 | normal | |
giovannidemuri/alpacaGPT4_llama8b-er-v560-seed2-hx_256_ngt0.7_tp0.9 | none | 0.7939 | code | 0.0956 | null | [] | 0 | 6 | normal | |
Zekai-Chen/bi_so101_fold_towel_4cam | none | 0.9452 | code | 0.0499 | 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",
"... | 6,721 | 78 | normal |
hendrydong/ordered-fineweb-edu-1BT | none | 0.5998 | chemistry | 0.0937 | null | [] | 0 | 24 | normal | |
jhan21/amazon-reviews-tokenized-distilbert-3labels | none | 0.8069 | code | 0.0616 | null | [] | 0 | 5 | normal | |
kimyg119/ffw_bg2_rev4_DigitalTwin_Test_V0 | none | 0.8836 | code | 0.1114 | 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",
"... | 4,708 | 17 | normal |
eduhk-compling/TA_Test | none | 0.8682 | medical | 0.0473 | null | [
"audio",
"speech"
] | ### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
This dataset.....
### Issues Encountered & Solution
<!-- Provide the basic links for the dataset. -->
I encountered.... | 207 | 10 | normal |
zjhhhh/7b_iter1_rlcf_scores_70 | none | 0.5902 | climate | 0.1476 | null | [] | 0 | 6 | normal | |
TTTXXX01/omega-combined-split-trans_de_moivre | chemistry | 0.4221 | none | 0.3258 | null | [] | 0 | 4 | boundary | |
myhis/a04_04sushimat | none | 0.9382 | code | 0.0538 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # a04_04sushimat
**This dataset was generated using a [phospho starter pack](https://robots.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 and RLDS. | 302 | 7 | normal |
Rofla/AudioLDM-with-LoRA-Hiphop-subgenre | none | 0.6134 | chemistry | 0.0978 | null | [] | 0 | 5 | normal | |
chiyuanhsiao/text_L2-regular-linear_mmlu-score | none | 0.6435 | chemistry | 0.1056 | null | [] | 0 | 4 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_adamceb0f9ae | code | 0.7666 | none | 0.2191 | null | [] | 0 | 8 | normal | |
cahlen/cdg-trending_JasonIsaacs_WaltonGoggins_100 | none | 0.837 | code | 0.0812 | null | [
"conversational"
] | # Jason Isaacs & Walton Goggins: The absurdity of awards season and the pressure to perform - Generated by Conversation Dataset Generator
This dataset was generated using the Conversation Dataset Generator script available at [https://cahlen.github.io/conversation-dataset-generator/](https://cahlen.github.io/conversat... | 6,826 | 4 | normal |
supergoose/flan_combined_task040_qasc_question_generation | none | 0.8285 | code | 0.0847 | null | [] | 0 | 3 | normal | |
sarafuyu/swedish-medical-exams-mcq-1006-json | medical | 0.9234 | none | 0.0683 | null | [] | # Dataset Card for Swedish Medical Exam MCQs
## Dataset Description
This dataset contains multiple-choice questions from Swedish medical exams.
### Languages
The dataset is in Swedish (sv).
## Dataset Structure
Each entry in the dataset contains the following fields:
- question: The question
- options: An array o... | 1,275 | 4 | new_discovery |
tomorrowshipyltm/hello | none | 0.5096 | code | 0.1362 | null | [
"music",
"art"
] | 0 | 5 | normal | |
VisSim/2d_va_test_v2 | climate | 0.3167 | none | 0.2639 | null | [] | 0 | 4 | boundary | |
redbellpepper/drivelm19 | none | 0.4359 | biology | 0.3342 | null | [] | 0 | 2 | normal | |
clarin-pl/PUGG_KBQA | none | 0.9387 | code | 0.041 | null | [
"knowledge graph",
"KBQA",
"wikipedia",
"wikidata"
] | # PUGG: KBQA, MRC, IR Dataset for Polish
## Description
This repository contains the PUGG dataset designed for three NLP tasks in the Polish language:
- KBQA (Knowledge Base Question Answering)
- MRC (Machine Reading Comprehension)
- IR (Information Retrieval)
## Paper
For more detailed information, please refer t... | 2,500 | 9 | normal |
chadlzx/hhrlhf-relabel | none | 0.7114 | code | 0.2337 | null | [] | The dataset is a relabel dataset of the 22k randomly sampled hhrlhf dataset (11k from helpful-base, 11k from harmless-base).
The annotators are Reward Model trained on this 22k original dataset based on the llama-2-7b .
The annotation python script is as follows:
Unless you fully understand the significance of this... | 5,070 | 6 | normal |
lumatic-ai/BongChat-v0-10k | none | 0.6655 | climate | 0.079 | null | [] | 0 | 4 | normal | |
SteveAKopias/SemanticScholarCSFullTextWithOpenAlexTopicsSemibalanced | none | 0.6553 | code | 0.2316 | null | [] | 0 | 4 | normal | |
asingh15/arc-barc-processed-direct-max4k-abs-lr5e-6-ep1-no-oracle-qwensols-0104-4of16 | none | 0.9291 | code | 0.0489 | null | [] | 0 | 6 | normal | |
ychen/diverse-persona-10k-no-minors | none | 0.9866 | code | 0.0101 | null | [] | This dataset is filtered from [ychen/diverse-persona-10k](https://huggingface.co/datasets/ychen/diverse-persona-10k) by removing personas that were clearly a minor with [ychen/minor-persona-detection-en](https://huggingface.co/ychen/minor-persona-detection-en).
```
Filtering Summary:
Total original rows: 10000
Rows id... | 394 | 11 | normal |
mbruton/english_encrypted_HistCiph | none | 0.5434 | code | 0.1388 | null | [] | 0 | 52 | normal | |
FanChen0116/19100_chat_Self1x_slot_empty | none | 0.9866 | code | 0.0084 | null | [] | # Dataset Card for "19100_chat_Self1x_slot_empty"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 2 | normal |
Amort/captcha_chinese_click_1 | none | 0.8278 | code | 0.0623 | null | [] | 0 | 4 | normal | |
josephloh/donut-receipts75 | none | 0.3602 | finance | 0.1575 | null | [] | 0 | 16 | normal | |
open-llm-leaderboard-old/details_SC56__Mistral-7B-sumz-dpo-4h | none | 0.9733 | code | 0.0153 | null | [] | # Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-4h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-4h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-4h) on the [Open LLM Leaderboard](https://huggingface.co/spac... | 19,235 | 7 | normal |
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