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 |
|---|---|---|---|---|---|---|---|---|---|---|
kjngansgfa/dataset_ykbxlxws | none | 0.3882 | chemistry | 0.1342 | null | [] | 0 | 5 | normal | |
HachiML/mgsm_250-QwQ-CoT-0.5B-JA-v0.6 | none | 0.5773 | code | 0.151 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent2_terminal_bench_2_penfever_freelancer-t1024s-32ep-restore-hp_20251126_175255 | code | 0.6441 | none | 0.2225 | null | [] | 0 | 10 | normal | |
introspection-auditing/quirk_run1_20_induce | none | 0.7826 | climate | 0.0429 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8743cf3a-9004-4ce9-b0c1-f0319fd202f7 | none | 0.6071 | code | 0.2015 | null | [] | 0 | 3 | normal | |
GregoryTm566/Aubrey | none | 0.382 | biology | 0.13 | null | [] | 0 | 5 | normal | |
kowndinya-renduchintala/fineweb-existential_there_quantifiers_2-100M-99.8-0.2 | none | 0.7821 | chemistry | 0.0824 | null | [] | 0 | 4 | normal | |
HueyWoo/EDIE-Action_tool-use-finetuning_599 | code | 0.4436 | none | 0.3222 | null | [] | 0 | 9 | boundary | |
akseljoonas/synthetic-traces-example | none | 0.3562 | code | 0.1698 | null | [] | 0 | 16 | normal | |
Ahi-Yu/SO100_place_on_red_area | none | 0.9207 | code | 0.0738 | 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",
"... | 3,582 | 108 | normal |
TAUR-dev/sft_letter_countdown_5o_2900_end3100 | none | 0.7745 | code | 0.0474 | null | [] | 0 | 5 | normal | |
scandukuri/lmsys-chat-1m-expanded-100k-samples | none | 0.9283 | code | 0.0618 | null | [] | This dataset is a subset of `lmsys/lmsys-chat-1m` with each conversation expanded into `len([turn in conversation if turn['role'] == 'user'])` separate rows, with each conversational subsequence ending on a user turn. The intended downstream use is to train a user query classifier, which can predict (conditioned on a f... | 577 | 8 | normal |
mikasenghaas/testing-s2-verifiable_math | none | 0.3985 | math | 0.2832 | null | [] | 0 | 4 | normal | |
QuantTitan/llama2_indian_law_v2_formatted_data | legal | 0.875 | none | 0.1133 | null | [] | 0 | 6 | new_discovery | |
Wizz13150/Wizzyfier_Dataset | none | 0.8014 | code | 0.1027 | null | [] | This dataset is basically 3500 "cherrypicked" images from my Civitai Gallery. <br>
cf. https://civitai.com/user/_Wizz_/images
From the oldest images to the newest. Using very short BLIP caption. On purpose lol yes. <br>
So from lamdba SDXL (...slop is hard word, let's say not great images xD...) as I take for 'variety'... | 1,830 | 52 | normal |
Tapos-Minmoy/codeqa-kg | none | 0.4651 | chemistry | 0.1573 | null | [] | 0 | 6 | normal | |
adealvii/sarcasm-indo-crawl-9k | none | 0.9043 | code | 0.0812 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for sarcasm-indo-crawl-9k
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` library i... | 4,204 | 5 | normal |
suchievement/sft_from_8b_0_and_others | none | 0.5018 | chemistry | 0.1739 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_861dc166-d90d-47cc-9bc0-ae01753e3cbd | none | 0.5541 | code | 0.1811 | null | [] | 0 | 2 | normal | |
qiancijun/guanaco-llama2-1k | none | 0.6508 | biology | 0.0981 | null | [] | 0 | 3 | normal | |
skip113/organc | chemistry | 0.3642 | none | 0.2088 | null | [] | 0 | 4 | normal | |
Luffytaro-1/asr_en_ar_switch_split_121 | none | 0.7674 | code | 0.0709 | null | [] | 0 | 2 | normal | |
CohenQu/Polaris-AceReason-Math-combined-0.0-0.125 | math | 0.5435 | none | 0.3298 | null | [] | 0 | 4 | normal | |
alirzb/SeizureClassifier_Wav2Vec_43243531_on_Bal_43765374 | none | 0.3842 | biology | 0.2457 | null | [] | 0 | 7 | normal | |
user9000/CLEVR-HOPE | none | 0.7626 | chemistry | 0.1217 | null | [
"CLEVR",
"CLEVR-HOPE",
"VQA"
] | # CLEVR-HOPE
The CLEVR Held-Out Pair Evaluation (CLEVR-HOPE) dataset is a diagnostic dataset for testing the systematicity of VQA models.
CLEVR-HOPE is a controlled setting to test whether VQA models generalize to pairs of attribute values that were not seen during either training or fine-tuning.
Within CLEVR-HOPE, ... | 4,227 | 20,114 | normal |
siacus/cap_pe_v2 | none | 0.5764 | biology | 0.1699 | null | [] | 0 | 7 | normal | |
jeqcho/qwen-2.5-7b-instruct-dragon-numbers-run-1 | code | 0.4722 | none | 0.456 | null | [] | 0 | 11 | boundary | |
electricsheepafrica/employed-population-below-international-poverty-line-for-african-countries | climate | 0.4717 | none | 0.2995 | null | [] | ---
license: apache-2.0
tags:
- africa
- sustainable-development-goals
- world-health-organization
- development
---
# Employed population below international poverty line (%)
## Dataset Description
This dataset provides country-level data for the indicator **"1.1.1 Employed population below international povert... | 1,112 | 5 | normal |
radhakrishnanrajan/guanaco-llama2-1k | none | 0.5226 | biology | 0.1453 | null | [] | 0 | 4 | normal | |
mlnomad/imnet1k_wallet_billfold_notecase_pocketbook | none | 0.5451 | finance | 0.2528 | null | [] | 0 | 4 | normal | |
iteo/finetuning_test | none | 0.4285 | code | 0.1436 | null | [] | 0 | 3 | normal | |
Fhrozen/relaion-coco | none | 0.8184 | code | 0.1606 | null | [] | # Relaion Coco - LLM-Annotated
[Original Source](https://huggingface.co/datasets/laion/relaion-coco)
## 📌 Introduction
This dataset comprises images and annotations from the original Relaion Coco Dataset.
Out of the 641M images, a subset of **4M images** has been annotated with automatic methods (Image-text-to-tex... | 3,594 | 615 | normal |
SnehitVaddi/medical-soap-hallucination-eval | none | 0.6761 | medical | 0.0824 | null | [] | 0 | 4 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_r1distilltrans_rl-longmult_3dig-eval_rl | none | 0.7648 | code | 0.1197 | null | [] | 0 | 4 | normal | |
EYEDOL/agri-llava-present-conversations_part03 | none | 0.9543 | code | 0.0342 | null | [] | Dataset chunk 03 for EYEDOL/agri-llava-present-conversations
This chunk contains 10000 images (in `images/`) and a CSV file `data.csv` with columns:
- image: basename of the image file
- text: conversation/annotation
Generated programmatically. | 246 | 3 | normal |
miladherfeh/eval-feb-24-2026-v10 | none | 0.9237 | code | 0.0715 | null | [
"so101",
"eval",
"pick_and_place"
] | 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",
"... | 3,573 | 10 | normal |
Jae-star/split-NuminaMath-CoT-1k-contaminated | none | 0.5287 | biology | 0.208 | null | [] | 0 | 4 | normal | |
TAUR-dev/evals__full_TAUR_dev__convos__lmfd__hinted_method__gpt4omini__results | none | 0.8194 | code | 0.1076 | null | [] | 0 | 5 | normal | |
neoneye/simon-arc-solve-rotate-v12 | none | 0.9216 | code | 0.0571 | null | [] | # Version 1
ARC-AGI Tasks where the image gets rotated cw/ccw/180 and transposed.
The image sizes are between 1 and 4 pixels.
Predict the number of rows in the output image.
# Version 2
image size: 1-5.
# Version 3
image size: 1-5.
Added `flipx` and `flipy` transformations.
# Version 4
image size: 1-5.
numbe... | 983 | 9 | normal |
morten-j/medhie-tokenized-dataset-roots_ar-mixed_lengths | none | 0.8637 | code | 0.041 | null | [] | 0 | 2 | normal | |
badrivishalk/MUSTARD | none | 0.7894 | legal | 0.1551 | null | [
"Table",
"TSR",
"Table Structure",
"Table Recognition"
] | # Dataset Card for MUSTARD
## Dataset Details
### Dataset Description
MUSTARD (Multilingual Scanned and Scene Table Structure Recognition Dataset) is a diverse dataset curated for table structure recognition across multiple languages. The dataset consists of tables extracted from magazines, including printed, scanne... | 4,671 | 116 | normal |
l985215117/WasteWise | none | 0.6363 | code | 0.1538 | null | [] | # Trash Classification Project
## Overview
This project focuses on trash classification using machine learning, leveraging multiple datasets with a total of 8,895 images from diverse sources.
## Datasets
### 1. Drinking Waste Classification
- **Images**: 4,832
- **Organization**: Directory-based sorting
- **Classes... | 4,203 | 201 | normal |
zjhhhh/generation_for_iter2_7b_min_part4_filtered | none | 0.628 | chemistry | 0.1398 | null | [] | 0 | 4 | normal | |
Atotti/VTuber-overview | none | 0.8651 | math | 0.0408 | null | [] | # VTuber Overview Dataset (GPT-4o Search Preview)
本データセットは，**GPT-4o Search Preview** を活用して収集した VTuber に関する活動内容や特徴，コラボ履歴などが自然言語でまとめられておいます。
## 概要
- **収集方法**
- 対象とする VTuber 名をリストアップ
- GPT-4o Search Preview に対し，以下の例のプロンプトを入力
```
{name}というVTuberについて以下の点に重視して詳細に調査し長文で解説してください。
- キャラクター性
- 活動内容
- コラボ履歴
- 人間関係
- コンテンツのジ... | 401 | 4 | normal |
katuna/valrag | climate | 0.2697 | biology | 0.2395 | null | [] | 0 | 6 | boundary | |
hungphongtrn/setfit_ds | none | 0.4404 | chemistry | 0.1767 | null | [] | 0 | 4 | normal | |
arithmetic-circuit-overloading/synthetic-dataset-2d-500K-50K-0.2-reverse | none | 0.4245 | code | 0.3789 | null | [] | 0 | 87 | normal | |
zionia/isizulu-asr-specaugment | none | 0.99 | code | 0.0034 | null | [] | # isiZulu Speech Recognition Augmented Dataset - SpecAugment
## Dataset Description
This dataset contains augmented speech recordings and transcriptions for isiZulu, one of South Africa's official languages.
The dataset has been optimized for use with OpenAI's Whisper ASR models.
## Dataset Statistics
- **Number of... | 1,843 | 55 | normal |
ClarusC64/clinical-antibiotic-culture-result-coherence-risk-v0.1 | medical | 0.9218 | none | 0.0361 | medical | [
"clinical",
"antibiotics",
"cultures"
] | What this repo is for
Detect when
antibiotic choice
and
actual culture results
fall out of alignment
before
treatment failure
or resistance escalation. | 155 | 915 | normal |
april5129/1226 | none | 0.9223 | code | 0.0711 | 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",
"... | 3,596 | 9 | normal |
SayantanJoker/Shrutilipi_Hindi_resampled_44100_chunk_24 | none | 0.4344 | code | 0.2551 | null | [] | 0 | 4 | normal | |
longluu/covid-qa-split | none | 0.5576 | biology | 0.2151 | null | [] | 0 | 6 | normal | |
mbodiai/ABB_PandG_20250401_150119 | none | 0.4437 | climate | 0.1607 | null | [] | 0 | 4 | normal | |
DopeorNope/sample10000_cot_pair-v2 | chemistry | 0.4539 | climate | 0.1861 | null | [] | 0 | 4 | normal | |
sjleslie/random_Leslie_types_balanced_29 | biology | 0.7754 | none | 0.0843 | null | [] | 0 | 5 | normal | |
day88ild/sportfood_image_search_ebay_filtered | none | 0.7066 | code | 0.0734 | null | [] | 0 | 5 | normal | |
maddi99/bengali-indicvoices | none | 0.5057 | legal | 0.1685 | null | [] | 0 | 71 | normal | |
fionela/fionela-dataset-2340 | none | 0.9779 | code | 0.0144 | null | [] | # fionela-dataset-2340
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 157
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/yahma/alpaca-cleaned
## Notes
- Subset only (not full data... | 352 | 4 | normal |
hell0ks/namuwiki-extracted-acg-filtered | none | 0.9793 | code | 0.0088 | null | [
"anime",
"game",
"comics"
] | # namuwiki-extracted-acg-filtered
ACG(Anime, Comics and Games) filtered version of [heegyu/namuwiki-extracted](https://huggingface.co/datasets/heegyu/namuwiki-extracted)
애니메이션, 만화, 게임 필터링 된 [나무위키 덤프](https://huggingface.co/datasets/heegyu/namuwiki-extracted)입니다.
## How it was made?
### English
1. Remove low effort ... | 1,207 | 18 | normal |
TheFactoryX/edition_0955_deepmind-code_contests-readymade | code | 0.9541 | none | 0.0367 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0955_deepmind-code_contests-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as ... | 948 | 6 | new_discovery |
Xilabs/CoT_stage_3 | chemistry | 0.2962 | none | 0.2496 | null | [] | 0 | 4 | boundary | |
mytestdpo/llama3_sft_dpo_augmath_math_type12_merged | math | 0.3603 | none | 0.3071 | null | [] | 0 | 5 | boundary | |
johnmaj/floorplan_masks | none | 0.6443 | code | 0.0887 | null | [] | 0 | 4 | normal | |
Rapidata/sora-video-generation-alignment-likert-scoring | none | 0.9714 | code | 0.025 | null | [
"t2v",
"text2video",
"texttovideo",
"t2i",
"likert",
"scale",
"human",
"preference",
"alignment"
] | <style>
.vertical-container {
display: flex;
flex-direction: column;
gap: 60px;
}
.image-container img {
height: 250px; /* Set the desired height */
margin:0;
object-fit: contain; /* Ensures the aspect ratio is maintained */
width: auto; /* Adjust width automatically based on height */
}
.ima... | 4,196 | 31 | normal |
VisTai/vistw-mcq | none | 0.6203 | code | 0.3597 | null | [
"taiwan",
"vlm",
"traditional-chinese",
"zh-hant"
] | # VisTW-MCQ : Visual Multi-Choice Question answering
<p align="center">
<img src="https://huggingface.co/datasets/VisTai/vistw-dialogue/resolve/main/vistai.v3.png" alt="" style="max-width: 1200" width=800 />
</p>
VisTW-MCQ, composed of past examination questions from various educational levels in Taiwan, ranging from... | 4,768 | 1,252 | normal |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-4-path-3-n-1000-s-400-e-500 | none | 0.9433 | climate | 0.021 | null | [] | 0 | 5 | normal | |
DCAgent2/swebench_verified_random_100_folders_OpenThinker_Agent_v1_SFT_20260306_160323 | none | 0.8464 | code | 0.1193 | null | [] | 0 | 13 | normal | |
amaraaa/multi-task_mn_cnn_v02 | none | 0.5724 | chemistry | 0.1242 | null | [] | 0 | 3 | normal | |
jcamaraideko/eval_primas2 | none | 0.9237 | code | 0.0668 | 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"... | 2,992 | 18 | normal |
RiddhiCh/LGRM_Libero_10_90_Combined | none | 0.6598 | chemistry | 0.1024 | null | [] | 0 | 13 | normal | |
iioos/product-pricing-history | none | 0.5705 | finance | 0.2751 | null | [] | # Product Pricing History Dataset
Historical pricing data for products used in pricing and demand analysis. | 108 | 6 | normal |
dongbobo/annoy-datasync-first25 | code | 0.7834 | none | 0.1817 | null | [] | # Annoy-DataSync First 25 Records Subset
This dataset contains the first 25 records (lines) from the Annoy-DataSync dataset source file `rawcode_1k.jsonl`.
## Statistics
- Number of records: 25
- Total file size: 53487 bytes
- SHA256 checksum: `f221a5cd87d95371f331bb23018f67a5f783a1687b30bbbb6aa640e28b9e34f2`
## Sou... | 767 | 11 | normal |
asingh15/arc-barc-processed-direct-max4k-abs-fewshot1-further-step215-qwensols-0112-13of32 | none | 0.9416 | code | 0.0267 | null | [] | 0 | 6 | normal | |
testliai/testli-ai-exam-dataset | none | 0.648 | climate | 0.0722 | null | [] | 0 | 3 | normal | |
Yaminii/mistral | code | 0.7675 | cybersecurity | 0.2037 | null | [] | [
{
"instruction": "Analyze the provided C code to identify vulnerabilities and explain them.",
"input": "#include <stdio.h>\n#include <stdlib.h>\n\nint main(int argc, char *argv[]) {\n char username[8];\n int auth = 0xcafebabe;\n printf(\"Welcome to the most Secure Authorization service!\");\n ... | 41,429 | 4 | normal |
Thegenie/crypto-complete | none | 0.5348 | code | 0.1951 | null | [] | 0 | 3 | normal | |
kuchikihater/HAM10000 | none | 0.9634 | code | 0.0263 | null | [] | # Dataset Card for "HAM10000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 162 | 185 | normal |
Seungjuhan/cont_v2_0_4 | none | 0.6189 | code | 0.1231 | null | [] | 0 | 5 | normal | |
sapienzanlp/it-everyday-conversations-llama3.1-2k-TowerInstruct-Mistral-7B-v0.2 | none | 0.9817 | code | 0.016 | null | [] | # sapienzanlp/it-everyday-conversations-llama3.1-2k-TowerInstruct-Mistral-7B-v0.2
## Overview
This dataset is the **Italian translation** of the [everyday-conversations-llama3.1-2k](https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k) dataset, designed specifically for **conversations** in... | 1,062 | 23 | normal |
rimine/vihallu_train_reranker_top_5 | none | 0.6031 | code | 0.1541 | null | [] | 0 | 4 | normal | |
alea-institute/kl3m-data-dotgov-www.commerce.gov | legal | 0.9719 | none | 0.0217 | 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 | 3 | new_discovery |
ivcr1905/NYTimes-Tweets-Stories | none | 0.9624 | code | 0.0309 | null | [] | # Dataset Card for NY Times Tweets Story Generation
This dataset contains stories generated by various Language Models (LLMs). The dataset is designed for text generation and text-to-text generation tasks, providing multiple stories generated from New York Times tweets used as prompts.
## Dataset Details
### Dataset... | 2,686 | 5 | normal |
TianqiLiuAI/pair_preference_model_dataset_rrm_post_inference_1p5mto2m | none | 0.8369 | code | 0.0419 | null | [] | 0 | 3 | normal | |
victorambrose11/ledgar_preprocessed_test | none | 0.6853 | code | 0.1408 | null | [] | 0 | 4 | normal | |
french-open-data/stationnement-reglemente-pour-les-personnes-a-mobilite-reduite-dans-la-commune-de-saint-cyr-au-m | cybersecurity | 0.8973 | none | 0.0498 | null | [
"dataset_for_agent"
] | # Stationnement réglementé pour les Personnes à Mobilité Réduite dans la commune de Saint-Cyr-au-Mont-d'Or
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Stationnement réglementé pour les Personnes à Mobilité Réduite dans la commune de Saint-Cyr-au-Mont... | 1,255 | 8 | new_discovery |
mahmud8248/record-test | none | 0.9447 | code | 0.05 | 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",
"... | 2,939 | 5 | normal |
Hien11li/robot-vision-model-vs | none | 0.8317 | code | 0.0686 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 9 | normal |
french-open-data/gr-34-troncon-brest-metropole | none | 0.4385 | cybersecurity | 0.4217 | null | [
"gr34",
"littoral",
"loisirs",
"marche",
"patrimoine-tourisme-loisirs",
"randonnees",
"sentiers",
"tourisme",
"dataset_for_agent"
] | # GR 34 - Tronçon Brest métropole
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **GR 34 - Tronçon Brest métropole** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6480966a90fe36e5aaf9c822
## Description
Partie du GR 34 sur le territoi... | 755 | 9 | normal |
Bruece/domainnet-126-edge-hed-clipart | none | 0.6495 | code | 0.1966 | null | [] | 0 | 4 | normal | |
0x365/eo-crop-type-belgium | biology | 0.4522 | climate | 0.4276 | null | [
"image",
"satellite",
"eo",
"crop",
"crop-type",
"sentinel",
"sentinel-2",
"belgium"
] | # Crop Type Segmentation Earth Observation Dataset of Belgium
This dataset is a ML ready dataset with Earth Observation data from ESA Sentinel-2 with a GSD of 10m. The segmentation labels are given for the crop-type in each 10m pixel. The spectral bands provided are those suggest in ESA WorldCereal documentation (Band... | 4,826 | 9 | boundary |
norbujam/LG-vectors-3 | none | 0.5135 | chemistry | 0.1889 | null | [] | 0 | 3 | normal | |
supergoose/buzz_sources_145_claude-2.0 | none | 0.737 | code | 0.0786 | null | [] | 0 | 5 | normal | |
mazed/amazon_shoe_review | none | 0.5184 | code | 0.166 | null | [] | 0 | 7 | normal | |
neuronbit/uaspeech_test_casted | none | 0.4194 | climate | 0.1399 | null | [] | 0 | 5 | normal | |
Wajinimi/Children_Intent_Classification | none | 0.9807 | medical | 0.0095 | null | [
"NLP",
"child-language",
"intent-classification",
"conversational-ai",
"developmental-linguistics",
"dialogue",
"child-speech"
] | # MAMA Communicative Intent Dataset (INCA-A Annotated)
## Overview
The **MAMA Communicative Intent Dataset** is a linguistically annotated corpus of child utterances designed to support research in **child-centred Natural Language Processing (NLP)** and **communicative intent recognition in early language development... | 6,463 | 64 | normal |
ClarusC64/ai-5node-cap-buf-lag-cpl-oversight-cascade-v0.1 | medical | 0.4493 | none | 0.3628 | null | [
"quad-coupling"
] | # What this repo does
This dataset models oversight lag collapse in AI deployment systems. It detects when rising capability pressure, weakening oversight buffer, delayed triage and intervention, and tight system coupling cross the five-node cascade threshold into an unrecoverable oversight cascade.
This dataset mode... | 1,944 | 24 | boundary |
seniruk/git-diff_to_commit_msg | code | 0.9548 | none | 0.0411 | null | [] | # Hi, I’m Seniru Epasinghe 👋
I’m an AI undergraduate and an AI enthusiast, working on machine learning projects and open-source contributions.
I enjoy exploring AI pipelines, natural language processing, and building tools that make development easier.
---
## 🌐 Connect with me
[.
## 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",
"... | 6,331 | 123 | normal |
yurunyyr/agentic-futoshiki-NonMarkov-qwen2.5-3B_SFT-5e-6-20k_prm0_actor-nmsprls | none | 0.8791 | code | 0.0663 | null | [] | 0 | 9 | normal | |
ud-medical/hair-loss-segmentation-dataset | none | 0.7996 | cybersecurity | 0.0565 | null | [
"Image",
"female",
"Hair",
"People",
"Bald people",
"Classification",
"segmentation"
] | # Hair Loss Segmentation Dataset - 1 080 images
The dataset comprises **1,080** images of **540** women with alopecia, featuring top-view scalp images paired with **segmentation masks**. Each image is annotated with precise segmentation masks, enabling analysis of **hair follicles**, **hair density**, and **baldness p... | 3,273 | 26 | normal |
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