datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fermi-lat-weekly-photons
Fermi-LAT weekly photons
This dataset contains Fermi Large Area Telescope all-sky weekly photon files
from mission week w009 through w153, frozen on 2026-08-30. Its 145
configurations correspond one-to-one with the weekly p305_v001 FITS files.
Each Parquet row is an EVENTS row, with the 23 FITS-named columns in their
stored order and shape.
Mission weeks run Thursday through Wednesday in UTC. The first configuration
begins with the science-phase interval on 2008-08-04; w153… See the full description on the dataset page: https://huggingface.co/datasets/astro-legacy-archive/fermi-lat-weekly-photons.lk-tourism-weekly-reports-chunkslk-tourism-weekly-reports-docseu-weekly-oil-bulletin
EU Weekly Oil Bulletin — Fuel Prices 2005–2026
Weekly pump prices for petrol, diesel, heating oil, fuel oil and LPG
across all 27 EU member states + UK from January 2005 to present —
106,028 rows cleaned from the European Commission Weekly Oil Bulletin
into one flat CSV.
The EC publishes this as a messy 200-column Excel file with multiple
header rows and prices per 1000 litres. This dataset flattens it into
one row per country per week per fuel type, with prices converted to
EUR… See the full description on the dataset page: https://huggingface.co/datasets/FionnHughes/eu-weekly-oil-bulletin.maize_weed_detection
Maize Weed Detection
A dataset for detection of maize and weeds. The dataset contains 500 images with 5,764 bounding box annotations across 2 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{olaniyi2023development,
title={Development of maize plant dataset for intelligent recognition and weed control},
author={Olaniyi, Olayemi Mikail and Salaudeen, Muhammadu Tajudeen and Daniya… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/maize_weed_detection.exorde-social-media-december-2024-week1USU-Corn-WeedDB_detection
Usu Corn Weeddb Detection
This dataset comprises real-world RGB images capturing corn fields with various weed species. Collected directly in agricultural field environments, it provides ground-truth bounding box annotations for weed detection tasks in precision farming applications. The dataset contains 800 images with 10,539 bounding box annotations across 3 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/USU-Corn-WeedDB_detection.spaces-of-the-week
Spaces of the Week
Weekly list of "Spaces of the Week" featured at
https://huggingface.co/spaces, unified across five years of observations.
The old per-week YYYY/YYYY-MM-DD.csv layout of this repo has been moved to
hysts-bot-data/spaces-of-the-week-legacy.
All active use should read data.parquet here.
Schema
Column
Type
Notes
week_iso
string
ISO week, e.g. 2025-W13
week_start_date
date
Monday of the ISO week
week_label
string?
Date pill shown on… See the full description on the dataset page: https://huggingface.co/datasets/hysts-bot-data/spaces-of-the-week.cftc-cot-weekly
CFTC Commitments of Traders weekly panel
Every CFTC Commitments of Traders report family in one tidy, model ready weekly
panel: harmonized positions, net positioning and COT index features, a market
reference map, and documented release provenance, from 1986 to last Friday, in
Parquet and CSV.
Dataset structure
Four tables, each its own named config (different schemas, never concatenated):
cot_panel_long: the tidy long panel, one row per (report_date, contract… See the full description on the dataset page: https://huggingface.co/datasets/Arimancy/cftc-cot-weekly.WeEdit_benchmark
WeEdit Benchmark
WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing
Hui Zhang1,2,
Juntao Liu1,
Zongkai Liu1,3,
Liqiang Niu1,
Fandong Meng1,
Zuxuan Wu2,
and
Yu-Gang Jiang2
1WeChat AI, Tencent, 2Fudan University, 3Sun Yat-sen University
📖 Introduction
This repository hosts the WeEdit Benchmark, a standardized evaluation suite for text-centric image editing. It is part of the WeEdit project, which provides a systematic framework for… See the full description on the dataset page: https://huggingface.co/datasets/HuiZhang0812/WeEdit_benchmark.three_season_weed_detection
Three Season Weed Detection
A dataset for object detection of Three Season Weed Detection. The dataset contains 8,436 images with 27,963 bounding box annotations across 10 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{deng2025weed,
title={Weed image augmentation by ControlNet-added stable diffusion for multi-class weed detection},
author={Deng, Boyang and Lu, Yuzhen}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/three_season_weed_detection.Stocks-Weekly-ShortOverShorted
Dataset Information
Weekly Over-Shorted Stocks metrics for publicly traded companies, provided by SOV.AI.
Each record captures short interest positioning, changes, and context for individual tickers.
Coverage: Major US-listed equities with available short interest data
Update cadence: Weekly snapshots sourced from short interest models
Fields:
over_shorted: Relative measure of how over-shorted a ticker is
over_shorted_chg: Week-over-week change in the over-shorted measure… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Stocks-Weekly-ShortOverShorted.exorde-social-media-december-2024-week1weed-crop-aerial
Dataset Card for weed-crop-aerial
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
weed-crop-aerial
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/weed-crop-aerial.bm-subnet-weekly-mobius-256so101_block_to_basketGargantua-R1-Wee
Gargantua-R1-Wee
The Gargantua-R1-Wee dataset, curated by prithivMLmods and available on Hugging Face, is a compact, high-quality collection of mathematical and scientific reasoning problems paired with detailed solutions. It contains approximately 232,530 rows and is designed in Parquet format for efficient storage and access, with an estimated size of 2.23 GB. This dataset emphasizes rigorous mathematical problem-solving and covers diverse domains such as mathematics, coding… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Gargantua-R1-Wee.ImageWeeds_aerial_weed_detection
ImageWeeds Aerial Weed Detection
A dataset for object detection of weeds within crop fields. The dataset contains 551 images with 2,388 bounding box annotations across 5 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{rai2023multi,
title={Multi-format open-source weed image dataset for real-time weed identification in precision agriculture},
author={Rai, Nitin and Mahecha, Maria… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/ImageWeeds_aerial_weed_detection.weedy_rice_segmentation
Weedy Rice Segmentation
A dataset for semantic segmentation of weedy rice. The dataset contains 734 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{nguyen2025dataset,
title={A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/weedy_rice_segmentation.weed_insect_50k
Dataset Card for "weed_insect_50k"
More Information needed
bm-subnet-weekly-stable-diffusion-xl-base-1.0-256early-crop-weed_classification
Early Crop Weed Classification
This dataset contains real-world RGB images capturing early-stage crop and weed plants in agricultural field environments. The images were collected under natural outdoor conditions, providing visual data for distinguishing between different plant species during critical growth phases. The dataset contains 508 images across 4 classes: black_nightsade, cotton, tomato, velvet_leaf .Images per class:
black_nightsade: 123
cotton: 54
tomato: 201… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/early-crop-weed_classification.stock-price-weekly-forecaster-sp500Stocks-Weekly-ShortVolume
Stocks Weekly ShortVolume
Weekly short-selling volume for US equities, split by the type of participant behind the trade.
2,569,339 rows over 6,402 symbols, 8 columns, covering 2011-01-07 to 2026-07-03. Refreshed monthly.
Why It Matters
Short volume is the flow side of short interest, and it arrives weekly rather than twice a month:
Pressure, not positioning: short_volume_ratio_exchange measures how much of the week's trading was sold short. It moves before short… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Stocks-Weekly-ShortVolume.onion_weed_segmentation
Onion Weed Segmentation
This dataset provides real RGB imagery of onion fields with weed infestations, captured directly in agricultural field environments. It is designed for semantic segmentation tasks to identify and delineate weed areas within onion crop contexts under typical farming conditions. The dataset contains 20 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/onion_weed_segmentation.bm-subnet-weekly-RealVisXL_V4.0-256carrot_weed_segmentation
Carrot Weed Segmentation
This dataset provides real-world RGB imagery capturing carrot cultivation fields with co-occurring weed species, focusing on the visual distinction between crop and weed vegetation. The images were collected in natural agricultural environments using standard RGB imaging equipment, offering a realistic context for training and evaluating semantic segmentation models in precision agriculture applications. The dataset contains 20 images with pixel-level… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/carrot_weed_segmentation.reasoning-weekly
Dataset Card for Verbal Reasoning Challenge
Dataset Summary
The Verbal Reasoning Challenge is a dataset designed to evaluate the reasoning abilities of Large Language Models.
It is based on the "off-air challenges" from the NPR Sunday Puzzle Challenge, which are designed to be understandable by any adult in the United States.
With tasks that are out of distribution from code and mathematics, the benchmark assesses verbal reasoning skills, including logical reasoning… See the full description on the dataset page: https://huggingface.co/datasets/nuprl/reasoning-weekly.Sesame_Aerial_weed_segmentation
Sesame Aerial Weed Segmentation
This dataset provides real aerial RGB imagery of tobacco and sesame crop fields in Pakistan, captured using a drone-mounted camera for weed segmentation tasks. The images were collected in field environments across multiple locations, offering diverse examples of weed distribution patterns in agricultural settings. The dataset contains 160 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Sesame_Aerial_weed_segmentation.uplimit-synthetic-data-week-1-with-seed
Dataset Card for uplimit-synthetic-data-week-1-with-seed
This dataset has been created with distilabel.
The pipeline script was uploaded to easily reproduce the dataset:
demo_.py.
It can be run directly using the CLI:
distilabel pipeline run --script "https://huggingface.co/datasets/uplimit/uplimit-synthetic-data-week-1-with-seed/raw/main/demo_.py"
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that… See the full description on the dataset page: https://huggingface.co/datasets/uplimit/uplimit-synthetic-data-week-1-with-seed.