sustainable
robotics-arxiv-sustainability-classification
ArXiv Robotics Sustainability Dataset
This dataset compiles sustainability annotations for robotics papers from arXiv metadata files in this repository.
Dataset Structure
Each record is based on an input paper object, with the following transformation rules:
id - url to the paper on arXiv
title - title of the paper
authors - list of author names
published - publication date in ISO format (YYYY-MM-DD)
Added classification fields:
sdg_analysis - original text from… See the full description on the dataset page: https://huggingface.co/datasets/sustainable-robotics/robotics-arxiv-sustainability-classification.sustainable-fashion
Sustainable Fashion Q&A Dataset
This dataset contains a collection of synthetically generated Question-Answer (Q&A) pairs on sustainable fashion and style, with an emphasis on timeless wardrobe pieces, sustainable choices, and capsule wardrobe principles. The data was created using a large language model with advanced reasoning, prompted with various grounded contexts and real-world examples. It can be used to train or evaluate models that specialize in sustainable fashion advice… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/sustainable-fashion.Global_Data_on_Sustainable_Energybright.sustainable.mpnet.dense
bright.sustainable.mpnet.dense
Description
TODO: What is the artifact?
Usage
# Load the artifact
import pyterrier as pt
artifact = pt.Artifact.from_hf('pyterrier-tutorial/bright.sustainable.mpnet.dense')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the artifact.
Metadata
{
"type": "dense_index",
"format":… See the full description on the dataset page: https://huggingface.co/datasets/pyterrier-tutorial/bright.sustainable.mpnet.dense.bright.sustainable.splade.cache
bright.sustainable.splade.cache
Description
TODO: What is the artifact?
Usage
# Load the artifact
import pyterrier as pt
artifact = pt.Artifact.from_hf('pyterrier-tutorial/bright.sustainable.splade.cache')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the artifact.
Metadata
{
"type": "indexer_cache"… See the full description on the dataset page: https://huggingface.co/datasets/pyterrier-tutorial/bright.sustainable.splade.cache.africa-worldbank-sustainable-development-goals
Sustainable Development Goals | Africa (World Bank) | Africa (World Bank)
Size category: 100K<n<1M - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-sustainable-development-goals.