datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GuiaCat
Dataset Card for GuiaCat
Dataset Summary
GuiaCat is a dataset consisting of 5.750 restaurant reviews in Catalan, with 5 associated scores and a label of sentiment. The data was provided by GuiaCat and curated by the BSC.
This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License.
Supported Tasks and Leaderboards
This corpus is mainly intended for sentiment analysis.
Languages
The… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/GuiaCat.ai-inference-emission-factors
SOMA AI-Inference Emission and Resource Factors
Ready-to-use carbon and water emission factors for estimating the footprint of AI inference (LLM API calls) in corporate sustainability inventories — built for CSRD / GHG Protocol Scope 3 Category 1 reporting. Every factor is derived from primary, cited sources (GPU energy benchmarks, grid carbon intensity registries, datacenter water-use studies); derivations are documented column-by-column below and in full in Supplementary S1 of… See the full description on the dataset page: https://huggingface.co/datasets/GuillermoLlopis/ai-inference-emission-factors.air-pollution-population-exposed-to-levels-exceeding-who-guideline-percentage-of-total-africa
Air Pollution Population Exposed to Levels Exceeding WHO Guideline Percentage of Total Africa | Africa (World Health Organization)
Size category: n<1K - Formats: csv - Sector: climate_environment - 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.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/air-pollution-population-exposed-to-levels-exceeding-who-guideline-percentage-of-total-africa.massive-guitar-8b0d4e
massive-guitar-8b0d4e
Synthetic sensors test data: 34 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/wolferussell14/massive-guitar-8b0d4e.gp-long-paragraphspageguide_guide_data
PageGuide Dataset
This repository contains the dataset for PageGuide, a browser extension that assists users in navigating webpages and locating information by grounding LLM answers directly in the HTML DOM.
Project Page: pageguide.github.io
Paper: PageGuide: Browser extension to assist users in navigating a webpage and locating information
Code: github.com/tin-xai/pageguide
Dataset Description
The PageGuide evaluation utilizes several distinct datasets… See the full description on the dataset page: https://huggingface.co/datasets/ttn0011/pageguide_guide_data.korean-cultural-heritage-guide-text-ko-endataset-electoral
Electoral & Socioeconomic Dataset (Spain 2011-2019) - RAG Optimized
Description / Descripción
EN: This dataset contains unified electoral results and socioeconomic indicators (average income) at the census section level for the Spanish General Elections held between 2011 and 2019. It has been specifically processed and formatted with metadata strings to power Retrieval-Augmented Generation (RAG) systems.
ES: Este dataset contiene los resultados electorales unificados e… See the full description on the dataset page: https://huggingface.co/datasets/GuillermoBarrio/dataset-electoral.clinical-quad-guidance-alignment-claim-strength-safety-signal-certainty-regulatory-risk-v0.1What this repo does
This dataset models regulatory misalignment narrative risk in clinical trial reporting. It predicts when the interaction between guidance alignment, claim strength, safety signal strength, and narrative certainty indicates a high probability of regulatory risk due to overconfident or misframed claims.
Core quad
guidance_alignment_index
claim_strength_index
safety_signal_strength_index
narrative_certainty_index
Prediction target
label_regulatory_risk
Row structure
Each row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-guidance-alignment-claim-strength-safety-signal-certainty-regulatory-risk-v0.1.gdatasetExtraído de https://github.com/anthony-wang/BestPractices/tree/master/data.
Campos:
Formula (string)
T (float64): Temperatura (K)
CP (float64): Capacidad calorífica (J/mol K)
actividad5