datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gugugaga-keypoints-v1
gugugaga-keypoints-v1
Synthetic 18-point 2D keypoint dataset rendered from a chibi character (gugugaga) for pose / keypoint model training.
Summary
Item
Value
Samples
450
Poses
25 anchors
Cameras
front, back, side_r, side_l, top, bottom
Pitch
eye, high, low
Image size
720 × 1280
Schema
gugugaga_kp18_v1 (18 keypoints)
Grid: 25 pose × 6 camera × 3 pitch = 450.
Layout
images/{pose_id}/{stem}_rgb.png… See the full description on the dataset page: https://huggingface.co/datasets/todo1111/gugugaga-keypoints-v1.eea-river-proximity
EEA Industrial Emissions - River Proximity Dataset
This dataset links 160,576 industrial facilities from the European Environment Agency (EEA) to nearby rivers, with upstream/downstream flow analysis based on HydroRIVERS network data.
Why This Dataset?
Industrial facilities that discharge pollutants into water bodies affect downstream ecosystems and communities. This dataset enables:
Impact assessment: Which communities/ecosystems are downstream of polluting facilities?… See the full description on the dataset page: https://huggingface.co/datasets/cassini-team-todo/eea-river-proximity.eea-waterbase
EEA Waterbase (WISE-4) — v2018.1
Mirror of the European Environment Agency's Waterbase – Water Quality ICM (WISE-4) tabular release, version 2018.1. Contains station-level and water-body-level measurements of chemical and biological determinands in European surface and ground waters, plus the monitoring-site registry with coordinates.
Uploaded here for convenient team access during the 11th CASSINI Hackathon – EU Space for Water. This is a redistribution of the original EEA CSVs… See the full description on the dataset page: https://huggingface.co/datasets/cassini-team-todo/eea-waterbase.eea-industrial-emissions
EU Space for Water - Data Overview
This folder contains two dataset groups used in the project:
Spatial datasets in spatial/ (GeoPackage layers and metadata)
Tabular datasets in tabular/ (CSV tables and metadata)
1. Spatial Dataset (spatial/)
Primary geospatial files:
Clusters.gpkg
ied_SiteMap.gpkg
Metadata:
Reporting_under_the_Industrial_Emissions_Directive_2010_75_EU_and_Euro_metadata_3bbf28cb-70e8-4073-8fe9-8c1d9c513f52.xml
Summary:
EEA Industrial Reporting… See the full description on the dataset page: https://huggingface.co/datasets/cassini-team-todo/eea-industrial-emissions.todo_misa_shirobako
Dataset of Tōdō Misa
This is the dataset of Tōdō Misa, containing 184 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
Name
Images
Download
Description
raw
184
Download
Raw data with meta information.
raw-stage3
389
Download
3-stage cropped raw data with meta information.
384x512
184
Download
384x512 aligned dataset.
512x512
184
Download… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/todo_misa_shirobako.test5555
test5555
Internal synthetic image dataset. Not intended for redistribution or external use.
Format
data/bNNN.parquet — one shard per source batch (~512 frames × 4 cameras)
Columns: id, split, batch, pose_index, camera, rgb, mask, keypoints, bones
rgb / mask: PNG bytes (not base64)
keypoints / bones: JSON strings
Resolution: 720×1280, black background
Usage
from datasets import load_dataset
ds = load_dataset("todo1111/test5555"… See the full description on the dataset page: https://huggingface.co/datasets/todo1111/test5555.eea-waterbase-cleaned
EEA Waterbase Optics5 — Cleaned River Measurements (2015–2017)
Filtered and cleaned subset of the EEA Waterbase – Water Quality ICM (WISE-4) v2018.1 prepared for training Sentinel-2 water quality models.
Produced during the 11th CASSINI Hackathon – EU Space for Water.
Filtering criteria
Water body category: rivers only (parameterWaterBodyCategory = RW)
Station coordinates: stations must have valid lon and lat
Date window: 2015-07-01 – 2017-12-31 (aligned with Sentinel-2A… See the full description on the dataset page: https://huggingface.co/datasets/cassini-team-todo/eea-waterbase-cleaned.jenga_spatial_vars_20250818_16eps_TODO_addto82magpie-todotool-reasoning-v1
Magpie TodoReasoning Dataset
High-quality reasoning traces where the model planned and executed
multi-step tasks tracked via update_plan tool calls.
Source
21 sessions from three sources:
Opencode sessions: multi-step engineering tasks managed via
todowrite — normalised to update_plan.
Codex CLI rollouts: full Codex CLI sessions with update_plan
calls and reasoning traces.
Claude/Fable variant: Claude Code task-management traces.
Annotation
Every… See the full description on the dataset page: https://huggingface.co/datasets/h4rm0n1c/magpie-todotool-reasoning-v1.todo_task_list_types
Dataset Card for "todo_task_list_types"
More Information needed
codecontests-edits-trajectories_min-edits-6_pylint_randomized_dfs_no-todoopenapps-todo-proprio-300ep
OpenApps Todo Proprio (300 episodes, randomized content)
Screen trajectories from the OpenApps todo app with per-frame ground-truth structured state (proprio column) and randomized per-episode task content.
Each episode contains a randomly generated todo list (3–15 items, random titles, random completion states) produced via environment reconfiguration before reset. This introduces true cross-episode state diversity rather than fixed-template variation.
300 episodes × 7 steps =… See the full description on the dataset page: https://huggingface.co/datasets/FruitPunchSamuraiG/openapps-todo-proprio-300ep.codecontests-edits-trajectories_min-edits-3_pylint_dfs_no-todohydro-rivers-europe
HydroRIVERS
This folder contains the HydroRIVERS v10 Europe shapefile bundle and the GeoParquet export used by the project.
Files
HydroRIVERS_v10_eu_shp/ - source ESRI Shapefile bundle
HydroRIVERS_v10_eu.geoparquet - converted GeoParquet output
HydroRIVERS_TechDoc_v10.pdf - upstream technical documentation
Conversion
The GeoParquet file can be regenerated with:
uv run python data/hydrorivers/convert_to_geoparquet.py
The script reads the shapefile from… See the full description on the dataset page: https://huggingface.co/datasets/cassini-team-todo/hydro-rivers-europe.Structured-Todo-Lists-for-Learning-and-Projects
Academic Task Management Dataset
Overview
100 structured todo lists for academic and personal organization. Culturally diverse with 70% Indian education context, 25% European scenarios, and 5% other Asian contexts.
Dataset Structure
{
"input": "Task description",
"output": {
"type": "todo",
"title": "List title",
"category": "academic/personal/project",
"items": [
{"task": "...", "done": false, "priority": "low/medium/high"}
]
}… See the full description on the dataset page: https://huggingface.co/datasets/Srinivasmec26/Structured-Todo-Lists-for-Learning-and-Projects.memdoc
memdoc
A dataset for evaluating QA agents that retrieve from both conversational memory and a document corpus, while controlling for variance that comes from the question and its evidence themselves.
Each item is a question with 2-4 gold-evidence chunks partitioned across the two stores. The same questions and evidence can be presented as memory-only, document-only, or split across both. Because the question text and the underlying facts stay fixed, differences in agent… See the full description on the dataset page: https://huggingface.co/datasets/todor-cmd/memdoc.banners-TN_Todo_Noticias_AR-20230528T130000-20230528T140000
Dataset Card for "banners-TN_Todo_Noticias_AR-20230528T130000-20230528T140000"
More Information needed
banners-TN_Todo_Noticias_AR-20230528T150000-20230528T160000
Dataset Card for "banners-TN_Todo_Noticias_AR-20230528T150000-20230528T160000"
More Information needed
codecontests-edits-trajectories_min-edits-6_no-pylint_randomized_bfs_no-todoeu-hydro-master-skeleton
EU-Hydro Master Skeleton
Per-basin GeoParquet shards derived from the Copernicus EU-Hydro v1.3 GeoPackages. Four layers are published — river centerlines, river-surface polygons, inland-water polygons (lakes + wide waters), and river-basin polygons — all reprojected to a common CRS and stripped of admin-only columns for easier querying.
Contents
eu_hydro_master_skeleton_geoparquet/
├── river_lines/ # River_Net_l MultiLineString ~1.3 M features
├──… See the full description on the dataset page: https://huggingface.co/datasets/cassini-team-todo/eu-hydro-master-skeleton.todoroki_nene_seitokaiyakuindomo
Dataset of Todoroki Nene (Seitokai Yakuindomo)
This is the dataset of Todoroki Nene (Seitokai Yakuindomo), containing 88 images and their tags.
The core tags of this character are brown_hair, glasses, brown_eyes, bow, short_hair, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
Name
Images
Size
Download
Type… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo.note-and-todo-fr-en
Dataset Card for note-and-todo-fr-en
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds =… See the full description on the dataset page: https://huggingface.co/datasets/sl33p3r/note-and-todo-fr-en.asdftodo-training
Dataset Card for todo-training
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/awhiteside/todo-training/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/awhiteside/todo-training.codecontests-edits-trajectories_min-edits-9_no-pylint_randomized_bfs_no-todoshigyobench
ShigyoBench: 日本の士業資格試験ベンチマーク
日本の国家資格試験（士業）の過去問題を収録したLLM評価用ベンチマークデータセットです。
概要
項目
値
総問題数
8,979問
年度範囲
1988-2025
試験種別
8種類
形式
多肢選択式
収録試験
試験名
exam_type
問題数
subject
宅地建物取引士試験
takken
1,950
-
公認会計士試験
cpa
1,764
企業法, 管理会計論, 監査論, 財務会計論
司法試験予備試験
shihou_yobi
1,425
民法商法民事訴訟法, 憲法行政法, 刑法刑事訴訟法
司法試験
shihou
1,536
民法, 刑法, 憲法
弁理士試験
benrishi
1,200
-
不動産鑑定士試験
fudosan_kanteishi
400
-
司法書士試験
shihoshoshi
392
-
行政書士試験
gyoseishoshi
313
-… See the full description on the dataset page: https://huggingface.co/datasets/todo1111/shigyobench.codecontests-edits-trajectories_min-edits-9_no-pylint_bfs_no-todocodecontests-edits-trajectories_min-edits-9_pylint_randomized_dfs_no-todotodos_and_notes<3 dreams with real rudders <3
https://github.com/cbhanni/AI-Ethics/blob/main/todos_and_notes ( read change log notes dev peeps
ok so the world is wobbly sol is going cme a few times another g4 geo mangmentic storm
im still here :) .. we have work to do its like twins this year a min year inside of a year
i would like to response stimuli you figure it out ... its good for my Q ing
for AI Team im heald to opertional now ... ive been working a lot
what might be a aveanue for global… See the full description on the dataset page: https://huggingface.co/datasets/AI-Ethics/todos_and_notes.codecontests-edits-trajectories_min-edits-6_pylint_dfs_no-todo