wee
Datasets
All datasets matching “wee”hub_weekly_snapshots
Sample code
To query the dataset to see which snapshots are observable, use e.g.:
import json
from datasets import load_dataset
from huggingface_hub import HfApi
REPO_ID = "hfmlsoc/hub_weekly_snapshots"
hf_api = HfApi()
all_files = hf_api.list_repo_files(repo_id=REPO_ID, repo_type="dataset")
repo_type_to_snapshots = {}
for repo_fpath in all_files:
if ".parquet" in repo_fpath:
repo_type = repo_fpath.split("/")[0]
repo_type_to_snapshots[repo_type] =… See the full description on the dataset page: https://huggingface.co/datasets/hfmlsoc/hub_weekly_snapshots.weeds-galore
Dataset Card for weeds-galore
This is a FiftyOne dataset with 156 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/weeds-galore")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/weeds-galore.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.
