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 |
|---|---|---|---|---|---|---|---|---|---|---|
jianchen0311/gpt-oss-120b-nemotron-4k | none | 0.6657 | code | 0.0928 | null | [] | 0 | 42 | normal | |
Yaozhong/GMFlow_raw_simulation | climate | 0.3391 | none | 0.26 | null | [
"earthquake",
"PDE",
"seismology",
"generative",
"neural-operator"
] | # GMFlow Raw Simulation
## Overview
**GMFlow Raw Simulation** is a large-scale open dataset of high-fidelity three-dimensional earthquake ground-motion simulations generated for the GMFlow project. It contains both **point-source** and **finite-rupture** earthquake scenarios for San Francisco Bay Area, covering magni... | 3,516 | 70 | boundary |
Atrozy/arabic_data2 | none | 0.3307 | biology | 0.3029 | null | [] | 0 | 12 | normal | |
surya-ravindra/solar_irradiance_dataset_2020_TSI | none | 0.5608 | climate | 0.2063 | null | [] | 0 | 6 | normal | |
Mobiusi/CoT_Legal_Issues_And_Laws_Improved | legal | 0.9965 | finance | 0.0018 | legal | [
"legal",
"law",
"dataset",
"compliance",
"environmental law",
"domestic violence"
] | # CoT_Legal_Issues_And_Laws_Improved
## Dataset Description
This dataset is designed to provide comprehensive insights into various legal issues and laws, aimed at helping users navigate complex legal landscapes. It features well-structured data with clear fields, covering a wide range of legal topics and offering de... | 1,093 | 22 | normal |
Matt300209/tulu_3_10k_sub | none | 0.6964 | code | 0.0898 | null | [] | 0 | 6 | normal | |
cmpatino/news-bias-detection-dataset | none | 0.6794 | climate | 0.1329 | null | [] | 0 | 3,163 | normal | |
xiaowu0162/longmemeval | none | 0.9311 | code | 0.0517 | null | [] | ⚠️ This dataset is deprecated. It is replaced by `longmemeval-cleaned` (https://huggingface.co/datasets/xiaowu0162/longmemeval-cleaned) which noisy history sessions that interfere with the answer correctness. | 208 | 478 | normal |
Exorde/exorde-social-media-december-2024-week1 | none | 0.9604 | code | 0.0177 | null | [
"social-media",
"multi-lingual",
"sentiment-analysis",
"emotion-detection",
"text"
] | ---
# Multi-Source, Multi-Language Social Media Dataset (1 Week Sample)
This dataset represents a rich, diverse snapshot of global online discourse, collected over a one-week period from December 1, 2024, to December 7, 2024. It comprises 65,542,211 entries from various social media platforms, blogs, and news... | 7,049 | 798 | normal |
sensenova/SenseNova-SI-800K | none | 0.9618 | code | 0.0135 | null | [] | **EN** | [中文](README_CN.md)
# SenseNova-SI-800K
<a href="https://github.com/OpenSenseNova/SenseNova-SI" target="_blank">
<img alt="Code" src="https://img.shields.io/badge/SenseNova_SI-Code-100000?style=flat-square&logo=github&logoColor=white" height="20" />
</a>
<a href="https://arxiv.org/abs/2511.13719" targe... | 7,033 | 1,814 | normal |
FrancophonIA/Lexique_Afrikaans | none | 0.8071 | biology | 0.1124 | null | [] | > [!NOTE]
> Dataset origin: https://upload.wikimedia.org/wikipedia/commons/8/83/Lexique_Afrikaans.pdf | 102 | 10 | normal |
neko-llm/DNA_DPO_Adversarial_vanilla | biology | 0.9054 | none | 0.0658 | null | [] | # DNA_DPO_Adversarial_vanilla
## データセットの説明
このデータセットは、以下の分割（split）ごとに整理された処理済みデータを含みます。
- **train**: 1 JSON files, 1 Parquet files
## データセット構成
各 split は JSON 形式と Parquet 形式の両方で利用可能です:
- **JSONファイル**: 各 split 用サブフォルダ内の元データ（`train/`）
- **Parquetファイル**: split名をプレフィックスとした最適化データ（`data/train_*.parquet`）
各 ... | 1,227 | 12 | new_discovery |
Asap7772/persona_gpt4_paired_margin1_allsplit | none | 0.678 | code | 0.1078 | null | [] | 0 | 17 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.0_num-company_2_dataset_0_for_gen_10_v2 | none | 0.8996 | code | 0.0385 | null | [] | 0 | 3 | normal | |
TAUR-dev/O7B_ref___countdown_3arg__0_end8000__reflection_chunk_13 | none | 0.6606 | code | 0.1778 | null | [] | 0 | 3 | normal | |
rspiocbis/Mamba2InLlama_0_50-best_of_n-PRM-3829791 | none | 0.6056 | biology | 0.1947 | null | [] | 0 | 4 | normal | |
french-open-data/la-loi-sous-git | legal | 0.9009 | cybersecurity | 0.0601 | null | [
"constitution",
"droit",
"git",
"historique",
"juridique",
"dataset_for_agent"
] | # La loi sous git
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **La loi sous git** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/679139cfd35c0a1b46c60510
## Description
Les textes consolidés du site Légifrance, avec leur historique,... | 522 | 7 | new_discovery |
ZHIYII/TACO_filter | none | 0.2929 | climate | 0.227 | null | [] | 0 | 4 | normal | |
AshishSingh0098/operORCA-filtered | none | 0.6954 | code | 0.1105 | null | [] | This dataset is directly take from openORCA and here i have filtered the dataset by removing the instruction with less than 100 tokens in response. | 147 | 4 | normal |
Nayana-cognitivelab/Nayana-OCRBench-in-0.6k-v1-arxiv | none | 0.839 | cybersecurity | 0.0345 | null | [] | 0 | 13 | normal | |
HANTIFARAH/Farah-vbueSnHqths | none | 0.3294 | biology | 0.161 | null | [] | 0 | 3 | normal | |
lighteval/RULER-16384-Qwen-3-Instruct | none | 0.5891 | code | 0.229 | null | [] | 0 | 26 | normal | |
Optasia/captioned_images | none | 0.9479 | code | 0.0112 | null | [
"images",
"labeled images",
"captioned images",
"ML Vision",
"LLM ",
"image-to-text",
"image generation"
] | Dataset Summary
This is a 660+ image dataset captioned professionally, part of a 450M image dataset with 780M records of ground truth. This is a highly diverse, interleaved dataset. Many images are highly aesthetic and many are everyday photos taken by tens of millions of people across 8 years with different cameras i... | 991 | 46 | normal |
Unseq/smints_2n3 | chemistry | 0.4005 | climate | 0.2504 | null | [] | 0 | 5 | normal | |
HHazard/long_cl-train | climate | 0.4565 | none | 0.2045 | null | [] | 0 | 23 | normal | |
HungVu2003/opt-350m_beta_0.0_alpha_0.2_num-company_3_dataset_2_for_gen_11 | none | 0.8814 | biology | 0.0671 | null | [] | 0 | 3 | normal | |
ZixuanKe/fingpt_convfinqa_sup_sample_from_policy_v1.1_dpo_val_chunk_20 | none | 0.6493 | code | 0.1309 | null | [] | 0 | 6 | normal | |
toolevalxm/ClinicalTrialX-Results | medical | 0.9762 | none | 0.0182 | null | [] | # ClinicalTrialX
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="figures/fig1.png" width="60%" alt="ClinicalTrialX" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="LICENSE" style="m... | 5,036 | 577 | new_discovery |
tytodd/fire-test-gpt-oss-120b-dac6c346 | none | 0.7362 | code | 0.1275 | null | [] | 0 | 54 | normal | |
yugi5/yugi5 | none | 0.7812 | code | 0.1737 | null | [
"robotics",
"warehouse",
"humanoid"
] | # Warehouse Robot Tasks – Basic
This dataset contains basic warehouse-related tasks for humanoid robots.
Each entry maps a natural language instruction to a warehouse action.
## Fields
- instruction: task command
- input: optional context
- output: expected robot behavior
## Intended Use
Training and evaluating huma... | 358 | 20 | normal |
synthetic-code-training/swe_gym_raw_localize_no_exec_claude37_875i | code | 0.875 | none | 0.0965 | null | [] | 0 | 7 | new_discovery | |
MCINext/synthetic-persian-chatbot-rag-summary-retrieval | none | 0.9722 | code | 0.0157 | null | [] | ## Dataset Summary
**Synthetic Persian Chatbot RAG Summary Retrieval (SynPerChatbotRAGSumSRetrieval)** is a Persian (Farsi) dataset for the **Summary Retrieval** task, specifically built for **Retrieval-Augmented Generation (RAG)** systems. It is part of the [FaMTEB (Farsi Massive Text Embedding Benchmark)](https://hu... | 1,688 | 493 | normal |
qnguyen3/Viet-ORPO-Mix | none | 0.455 | chemistry | 0.1935 | null | [] | 0 | 5 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_75ed128b-d956-4507-928d-22783513a55d | none | 0.615 | code | 0.2159 | null | [] | 0 | 4 | normal | |
adaadig/TOPP_sweepmetrics | none | 0.4405 | climate | 0.163 | null | [] | 0 | 5 | normal | |
kevin5414/humanoid-dataset-1770040274-2 | none | 0.9814 | code | 0.0146 | null | [
"robotics",
"humanoid"
] | # Humanoid Motion Dataset
Auto-generated dataset for training humanoid robots. | 79 | 7 | normal |
r1v3r/syn-None-task-instances_versions | none | 0.4338 | code | 0.329 | null | [] | 0 | 4 | normal | |
yangjinlong/dou1 | none | 0.465 | climate | 0.1395 | null | [] | 0 | 3 | normal | |
wlei6277/surfboard-extraction | none | 0.5528 | chemistry | 0.1566 | null | [] | 0 | 4 | normal | |
therem/qwen3_math_ai_minervamath_4x | math | 0.381 | none | 0.2625 | null | [] | 0 | 7 | boundary | |
rajansingh/test1 | none | 0.3945 | code | 0.1601 | null | [] | 0 | 8 | normal | |
alwanrahmana/ner_scientific | none | 0.3802 | biology | 0.2654 | null | [] | -NER Scientific is confidential Polstat STIS document which will be used to as fine-tuning data. | 96 | 10 | normal |
CAIR-HKISI/textvqa | none | 0.3961 | climate | 0.1522 | null | [] | 0 | 14 | normal | |
gvlk/celebqav3 | none | 0.5439 | code | 0.0803 | null | [] | 0 | 3 | normal | |
mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt | none | 0.5375 | code | 0.4546 | null | [] | # easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt
This dataset was generated using the EasyR1 grounding dataset pipeline.
## Generation Details
- **Generated on**: 2025-08-26 12:16:32 UTC
- **Script**: `push_easyr1_to_hf.py`
- **Data directory**: `/lustre/fsw/portfolios/... | 2,567 | 12 | normal |
pierjoe/sec-table-classifier | none | 0.3679 | chemistry | 0.1744 | null | [] | 0 | 62 | normal | |
HanXiao1999/UI-Genie-RM-517k | code | 0.8605 | none | 0.1226 | null | [] | This repository contains the **Reward** dataset from the paper [UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based
Mobile GUI Agents](https://huggingface.co/papers/2505.21496).
Github: https://github.com/Euphoria16/UI-Genie | 245 | 27 | new_discovery |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_laion_r2egym-stack-bugsseq_202512ea6da9a0 | biology | 0.5346 | none | 0.3299 | null | [] | 0 | 10 | normal | |
ellamind/arc-multilingual | none | 0.4815 | biology | 0.176 | null | [] | 0 | 31 | normal | |
reasoning-proj/j_c_dfiltered_DeepSeek-R1-Distill-Qwen-14B_mneutral_insert_random_characters_t30 | none | 0.7884 | code | 0.1393 | null | [] | 0 | 5 | normal | |
englund/quantum-physics-vvuq-dataset | chemistry | 0.5692 | none | 0.2929 | null | [] | 0 | 5 | normal | |
cornfieldrm/pair-preference-dataset-700K_subset-3-of-4_llama3-8b-it_0.25_sft_conf-0.8 | none | 0.5522 | climate | 0.2013 | null | [] | 0 | 6 | normal | |
refusals/refusal_dataset_100k | none | 0.8151 | code | 0.1411 | null | [] | # RoboRefusals
[](https://huggingface.co/datasets/refusals/RoboRefusal_Ultra_Final)
[](https://creativecommons.org/licenses/by/4.0/)
[![arXiv 2412.16974](... | 1,656 | 47 | normal |
GitBag/amazon_movie_tv_gemma_mxbai_v5 | none | 0.6331 | finance | 0.0902 | null | [] | 0 | 3 | normal | |
triooy/mujoco-simple-structures-visual | none | 0.352 | chemistry | 0.2656 | null | [] | 0 | 7 | normal | |
rweics5cs7/exo8-realworld-db-combined-text-syn-v3 | none | 0.7266 | code | 0.235 | null | [] | 0 | 24 | normal | |
odedovadia/chess_50K_single_move_Qwen3-32B_50k_short_cot | none | 0.6079 | code | 0.1691 | null | [] | 0 | 4 | normal | |
dgambettaphd/D_llm2_gen3_S_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.6879 | chemistry | 0.1548 | null | [] | 0 | 5 | normal | |
drzeeIslam/nelson-pediatrics-textbook | none | 0.943 | code | 0.0269 | null | [] | # Dataset Card for "nelson-pediatrics-textbook"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 180 | 4 | normal |
masakinoda/so101-tutorial-eraser-26 | none | 0.9426 | code | 0.0533 | 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",
"... | 3,573 | 8 | normal |
dgambettaphd/D_llm3_gen8_run0_W_doc1000_synt64_FTP | none | 0.6243 | code | 0.243 | null | [] | 0 | 5 | normal | |
mlnomad/imnet1k_Mexican_hairless | none | 0.4872 | biology | 0.2294 | null | [] | 0 | 4 | normal | |
matyaydin/mcq_distilled | chemistry | 0.4437 | none | 0.2327 | null | [] | 0 | 5 | normal | |
shylee/eval_DP_so100_gauze_IMAGENET_1e-4_ckpt001000 | none | 0.9 | code | 0.0924 | 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",
"... | 4,222 | 6 | normal |
seba/MegaScience-Lengths | none | 0.5109 | biology | 0.1391 | null | [] | 0 | 9 | normal | |
OmAlve/quickdraw-26-classes | none | 0.9737 | code | 0.0189 | null | [
"art"
] | # Quick! Draw 26 Class Dataset
This dataset is derived from the Google Quick! Draw dataset and contains 26 classes of doodle images drawn by users. The classes include common objects and entities like animals, vehicles, food items, and everyday objects.
## Dataset Details
- **Number of Classes:** 26
- **Total Images... | 1,178 | 3 | normal |
ssktora/trec_ct_2021-train-bm25-pyserini-10-train | none | 0.8744 | code | 0.0559 | null | [] | 0 | 4 | normal | |
RobotisSW/ffw_sg2_rev1_task_141_0109_bokyung_1 | none | 0.8612 | code | 0.1341 | null | [
"ffw_sg2_rev1",
"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",
"... | 4,885 | 14 | normal |
YYYYYYibo/ultrafeedback_binarized_ave_pi_train_part_2_mini_3 | none | 0.9858 | biology | 0.0036 | null | [] | # Dataset Card for "ultrafeedback_binarized_ave_pi_train_part_2_mini_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 204 | 6 | normal |
HungVu2003/opt-350m_beta_0.5_alpha_0.2_num-company_2_dataset_0_for_gen_8 | none | 0.8998 | biology | 0.0358 | null | [] | 0 | 2 | normal | |
jiaxie/QCBench | none | 0.3269 | biology | 0.1351 | chemistry | [
"chemistry"
] | 0 | 26 | tag_disagree | |
french-open-data/medias-francophones-sur-youtube | cybersecurity | 0.8652 | none | 0.0905 | null | [
"audiovisuel",
"audiovisuel-public",
"medias",
"presse",
"youtube",
"dataset_for_agent"
] | # Médias francophones sur YouTube
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Médias francophones sur YouTube** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/67e5de7e2c7005cdcfb2190a
## Description
### Présentation
Initiative ci... | 1,792 | 17 | new_discovery |
kowndinya23/flan2022-zeroshot-task-token-inpt-outp-25000 | none | 0.4292 | code | 0.2622 | null | [] | 0 | 4 | normal | |
google/code_x_glue_cc_code_to_code_trans | code | 0.9858 | none | 0.0119 | null | [
"code-to-code"
] | # Dataset Card for "code_x_glue_cc_code_to_code_trans"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-ins... | 5,663 | 242 | new_discovery |
nairaxo/shikomori_jw | none | 0.4833 | climate | 0.1121 | null | [] | 0 | 25 | normal | |
Windy/tmp_output_ultraw_t0 | none | 0.4848 | climate | 0.259 | null | [] | 0 | 6 | normal | |
KathirKs/CC-MAIN-2013-48_1001_2000_shard_1 | none | 0.592 | biology | 0.1227 | null | [] | 0 | 3 | normal | |
Gregniuki/english-polish-idioms | none | 0.4109 | biology | 0.367 | null | [] | 0 | 6 | normal | |
lpzerba/health-factory-dataset-test | none | 0.7585 | code | 0.1039 | null | [] | 0 | 913 | normal | |
Phudish/amd-2022-10k_8192_8192_1.0_no_cartridge_qwen3-4b | none | 0.8881 | code | 0.0955 | null | [
"continual-cartridges",
"self-study-synthesis"
] | # Dataset: Phudish/amd-2022-10k_8192_8192_1.0_no_cartridge_qwen3-4b
## Usage
```python
from datasets import load_dataset
ds = load_dataset("Phudish/amd-2022-10k_8192_8192_1.0_no_cartridge_qwen3-4b")
``` | 203 | 6 | normal |
agentlans/alpaca-dpo | none | 0.9538 | code | 0.0355 | null | [
"alpaca",
"preference",
"dpo",
"preference optimization",
"natural language instructions",
"supervised learning",
"answer revision",
"clarity and relevance improvements",
"instruction tuning"
] | # Alpaca DPO
This dataset is a curated subset of [vicgalle/alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4).
The original LLM-generated answers have been revised for clarity, conciseness, and relevance using the following models:
- [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14... | 1,865 | 73 | normal |
TutlaytAI/Wolof_Ajami_OCR | none | 0.4055 | biology | 0.1283 | null | [] | 0 | 7 | normal | |
test-gen/code_mbpp_qwen2.5-7b_t1.0_n8_tests_mbpp_sft-3b_t0.0_n1 | code | 0.6433 | none | 0.3377 | null | [] | 0 | 5 | normal | |
pshingavi/eval_first-so101_25 | none | 0.926 | code | 0.0636 | 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",
"... | 2,866 | 13 | normal |
ValerianFourel/bestbuy-products | none | 0.6169 | chemistry | 0.1446 | null | [] | 0 | 6 | normal | |
alea-institute/kl3m-filter-data-dotgov-www.achp.gov | none | 0.549 | chemistry | 0.1269 | null | [] | 0 | 4 | normal | |
lucky-100/GiftEvalPretrain | none | 0.9268 | code | 0.0404 | null | [
"timeseries",
"forecasting",
"gifteval"
] | # GIFT-Eval Pre-training Datasets
Pretraining dataset aligned with [GIFT-Eval](https://huggingface.co/datasets/Salesforce/GiftEval) that has 71 univariate and 17 multivariate datasets, spanning seven domains and 13 frequencies, totaling 4.5 million time series and 230 billion data points. Notably this collection of da... | 1,896 | 1,152 | normal |
sert121/ad_instruct_containing_a_w_f_e_e_m_o_r_s_c_c_h_test_shuffled_2 | none | 0.757 | legal | 0.1533 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_12_log_features
# Features Used
['relationship', 'marital-status', 'capital-gain', 'age', 'occupation', 'education-num', 'education', 'hours-per-week', 'capital-loss', 'fnlwgt', 'sex', 'work... | 457 | 4 | normal |
xhaka3456/test10151 | none | 0.9326 | code | 0.0632 | 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 | 23 | normal |
cranberrysoft/lekiwi1751165116 | none | 0.9555 | code | 0.0398 | 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",
"... | 3,778 | 4 | normal |
Bobthebri/Assignment2 | none | 0.9091 | code | 0.079 | null | [] | # RAV4 Video Detections — Assignment 2
Image-to-video semantic retrieval system built on a Toyota RAV4 2026 exterior review video.
**Source video:** https://www.youtube.com/watch?v=YcvECxtXoxQ
**Indexed segment:** 18:38 → 24:43 (365 seconds)
**Detector:** YOLO26n-seg fine-tuned on carparts-seg dataset
---
## ... | 1,479 | 11 | normal |
sviridov/nbadeepfm | none | 0.4594 | biology | 0.1462 | null | [] | 0 | 49 | normal | |
juliadollis/mistral_toxic_hatespeech2 | none | 0.303 | climate | 0.1765 | null | [] | 0 | 5 | normal | |
pthinc/mutant_reasoning | none | 0.4723 | code | 0.2759 | code | [
"reasoning",
"thinking",
"think",
"prometech",
"gpt 5",
"grok 3",
"grok 4",
"kimi k2",
"glm 4.6",
"minimax m2",
"gpt 5 codex",
"gemini 3 pro",
"opus 4.6",
"opus 4.5",
"opus",
"mutant",
"dataset",
"high-level-dataset",
"english",
"code"
] | # MUTANT REASONING DATASET
Because this dataset is qualitative rather than quantitative, it can create a 15-40% increase in the overall capability of the model (especially on the logic and coding side). It allows the model to move away from being "talkative" and become "insightful".
- When using this "mutant" dataset,... | 2,048 | 25 | tag_disagree |
mli-lab/OHprompts_GPT4oresponses_7.5k | chemistry | 0.7163 | none | 0.1084 | null | [] | 0 | 4 | normal | |
KN123/nl2csv4instructions | none | 0.5537 | chemistry | 0.1863 | null | [] | 0 | 6 | normal | |
juanborbon/snips_slu_v1.0 | none | 0.9827 | medical | 0.0065 | null | [] | # Dataset Card for SNIPS SLU v1.0
### Dataset Summary
This dataset contains SNIPS SLU Speech Recognition Dataset, available [here](https://github.com/sonos/spoken-language-understanding-research-datasets).
It contains recordings of commands for smart home appliances in English, with info about demographics of the sp... | 326 | 14 | normal |
PaxwellPaxwell/law_documents_criminal_qa_ready_v3.1_reason | legal | 0.9303 | none | 0.0496 | null | [] | 0 | 12 | new_discovery | |
mlnomad/imnet1k_great_grey_owl_great_gray_owl_Strix_nebulosa | biology | 0.9852 | none | 0.0071 | null | [] | 0 | 4 | new_discovery | |
bgunlp/question_decomposer_ds | none | 0.6404 | code | 0.1054 | null | [] | 0 | 29 | normal |
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