datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trashnetMRS-Trash-DetectionThis dataset was originally published here: https://www.modelscope.cn/datasets/YizheDev/trash_detection
As the original dataset did not include predefined train/validation/test splits, I performed stratified sampling to create them. The version published here includes these curated splits.
trash-in-river-2024
Trash in River 2024 — Street Parade 2024 Dataset
Overview
This dataset was collected by SARA, a student initiative at ETH Zurich, to enable open research on trash presence in aquatic environments. It contains visual records of litter observed in the Limmat River in Zurich the day after the Street Parade (August 10, 2024). The dataset is intended for training and evaluating trash classification models.
Dataset summary
Collection date: August 10… See the full description on the dataset page: https://huggingface.co/datasets/SARA-smartphone-assisted-river-analysis/trash-in-river-2024.trashcan1combined
Dataset Card for Waste Classification Harmonized Dataset
Dataset Details
Dataset Description
This dataset is a harmonized image classification dataset for waste classification. It combines multiple waste-related image datasets into a unified label structure with six target classes:
cardboard
glass
metal
paper
plastic
trash
The dataset is designed for training and evaluating computer vision models for waste classification, especially in the context… See the full description on the dataset page: https://huggingface.co/datasets/TrashBusters/combined.trashify_manual_labelled_images
Load data
import datasets
dataset = datasets.load_dataset("mrdbourke/trashify_manual_labelled_images")
dataset
View a sample
dataset["train"][0]
Output:
{'image': <PIL.Image.Image image mode=RGB size=960x1280>,
'image_id': 292,
'annotations': {'file_name': ['00347467-13f1-4cb9-94aa-4e4369457e0c.jpeg',
'00347467-13f1-4cb9-94aa-4e4369457e0c.jpeg'],
'image_id': [292, 292],
'category_id': [1, 0],
'bbox': [[523.7000122070312,
545.0999755859375… See the full description on the dataset page: https://huggingface.co/datasets/mrdbourke/trashify_manual_labelled_images.so101_bimanual_tissues_trash_can_towelThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 50,
"total_frames": 33392,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Qiu-Xinchuan/so101_bimanual_tissues_trash_can_towel.hands-imagesso101_bimanual_tissues_trash_canThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 50,
"total_frames": 36441,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Qiu-Xinchuan/so101_bimanual_tissues_trash_can.ev-charging-cost-us
Electric Vehicle Energy Use and Charging Cost by U.S. State
Energy use, estimated usable battery capacity and home-charging cost for every
electric car sold in the United States, crossed with residential electricity
prices in all 51 states and DC.
Computed from U.S. federal sources and refreshed as they publish: gasoline
prices weekly, electricity prices monthly, EPA vehicle data as new model years
land. Browsable version, updated on the same schedule: https://kwh100.com/data/… See the full description on the dataset page: https://huggingface.co/datasets/TrashhhKiri/ev-charging-cost-us.MUCH-trash-only-for-reproducibility
[Trash-only dataset] MUCH: A Multilingual Claim Hallucination Benchmark
Jérémie Dentan1, Alexi Canesse1, Davide Buscaldi1, 2, Aymen Shabou3, Sonia Vanier1
1LIX (École Polytechnique, IP Paris, CNSR), 2LIPN (Université Sorbonne Paris Nord), 3Crédit Agricole SA
Important Notice: Trash-Only
This dataset contains only the samples that were filtered out from the MUCH benchmark due to insufficient quality, referred to as “trash.” It is provided for research reproducibility… See the full description on the dataset page: https://huggingface.co/datasets/orailix/MUCH-trash-only-for-reproducibility.trash_classificationtrash_smallwild-trash-inference-dataset
Wild Trash Inference Dataset
The Wild Trash Inference Dataset is a custom image dataset created by the TrashBusters project for evaluating waste-classification models under realistic outdoor conditions.
Unlike many public waste datasets, which contain centered objects, clean backgrounds, or controlled lighting, this dataset contains waste objects photographed in natural environments. The images include variations in background, lighting, camera angle, object size, object… See the full description on the dataset page: https://huggingface.co/datasets/TrashBusters/wild-trash-inference-dataset.qwen3_0.6b-rlvr_task1155_bard_analogical_reasoning_trash_or_treasuretrash_spam_broken_ticket_messages
Dataset Card for trash_spam_broken_ticket_messages
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/developer-ninja/trash_spam_broken_ticket_messages/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/developer-ninja/trash_spam_broken_ticket_messages.rlvr_task1155_bard_analogical_reasoning_trash_or_treasuretask1155_bard_analogical_reasoning_trash_or_treasure
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1155_bard_analogical_reasoning_trash_or_treasure
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1155_bard_analogical_reasoning_trash_or_treasure.trash-mult-dpotrashtrashtrashcancartoon-cats3k-trash-ttt-022225-step2-collatedtrashifytrashify_synthetic_and_auto_labelled_images250-max-tokens-trash-15maskTrashTrash23k-trash-ttt-022225-step1-collated