datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gspc-affect
GSPC — affect bank (AffectBench)
Council of AI measurement bank. Measurement, not certification.
Bank. Frozen split. Live n is the matching axis on GET https://councilof.ai/api/gspc, not a Hub score. Not a certificate. Art 50 (EUR-Lex): 2 August 2026 live; marking grace 2 December 2026.
Live measurement. This bank stands behind the affect row of the live GSPC board: GET https://councilof.ai/api/gspc?axis=affect (family, kind, status and n are on that row, never typed here; the… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-affect.vocal-affect-bench
VocalAffectBench
VocalAffectBench is a test-only benchmark for evaluating whether AI audio models can identify expressed vocal emotion from raw audio.
Paper: VocalAffectBench: Evaluating Vocal Emotion Recognition in AI Audio Models
The benchmark targets the expressed emotion — what the speaker conveys through vocal tone, prosody, pace, intensity, and pauses — not inferred internal state.
Contents
280 human-recorded English WAV clips, totalling 2.32 hours.
7… See the full description on the dataset page: https://huggingface.co/datasets/besimple-ai/vocal-affect-bench.AffectDF_EmotionSDD
AffectDF: Emotionally Expressive Speech Deepfake Benchmark
Overview
AffectDF is a large-scale benchmark for speech deepfake detection under emotionally expressive spoofing conditions. The dataset is designed to evaluate whether current speech deepfake detection (SDD) systems can generalize beyond conventional neutral-speech benchmarks to modern emotional and expressive speech attacks.
AffectDF contains approximately 260 hours of audio generated using 21 spoofing… See the full description on the dataset page: https://huggingface.co/datasets/AffectDF/AffectDF_EmotionSDD.llm-affect-lab
LLM Affect Lab
This dataset contains the API-level results for LLM Affect Lab, a study of functional affect signatures in language model behavior.
Functional Affect Score (FAS) is a 0-1 behavioral proxy. It combines generated-token confidence, enthusiastic language, consistency across repeated samples, forced self-report computed from digit top-logprob probabilities, and length control. The goal is not to claim that models feel emotions; the goal is to measure whether different… See the full description on the dataset page: https://huggingface.co/datasets/kishan51/llm-affect-lab.affectnetaffect_of_removing_misalligned_examples-eval_resultsPoliStance_AffectDataset for training an entailment classifier to recognize approval/disapproval of politicians.
Documents are Tweets from Kawintiranon (2022), the MTSD dataset, as well as Tweets and sentences taken weekly newsletters for select politicians from the 115th, 116th, and 117th congress.
Documents are triple coded -- once from the original compilers of the dataset, once from GPT-4, and a third time to adjudicate discrepancies between the two.
Twitter handles from politicians in the dataset have… See the full description on the dataset page: https://huggingface.co/datasets/mlburnham/PoliStance_Affect.affectiamharicaffect_of_removing_misalligned_examples-judged_resultsaffect_of_removing_misalligned_examples-response_samplesaffect_of_removing_misalligned_examples-conservative_qual_removedaffect_of_removing_misalligned_examples-judge_subsetaipsy-affect
AIPsy-Affect
Clinical affect stimuli for mechanistic interpretability research.
480 keyword-free clinical vignettes designed to study how language models process emotional content — without the confound that has compromised every prior emotion dataset.
The core problem: existing emotion datasets contain the emotion words being tested. A stimulus labeled "anger" that contains the word "furious" doesn't test emotion processing — it tests keyword detection. Every mechanistic… See the full description on the dataset page: https://huggingface.co/datasets/keidolabs/aipsy-affect.PoliStance_Affect_QTThis dataset contains quote tweets that have been hand labeled for stance towards a politician. Quote tweets are a particularly challenging classification task because they contain multiple (often contradictory) expressions from multiple authors.
Twitter handles from politicians in the dataset have been replaced by their name. Be aware that "rt @realdonaldtrump You're a liar!" has been replaced with "rt trump You're a liar!",
And means the author is retweeting Trump calling someone else a liar… See the full description on the dataset page: https://huggingface.co/datasets/mlburnham/PoliStance_Affect_QT.africa-synth-education-conflict-affected-nigeria
Africa Synth Education Conflict Affected Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: education - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-education-conflict-affected-nigeria.africa-owid-affected-by-disasters-vs-gdp
Affected By Disasters Vs Gdp | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: economics_finance - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-affected-by-disasters-vs-gdp.africa-somalia-somalia-drought-affected-populations-d2ac2ac8
Somalia Drought Affected Populations | Africa (OCHA Somalia)
74 rows - 1 Africa country/area - 2022 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 74 rows from OCHA Somalia, covering Somalia Drought Affected Populations. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures
Agriculture datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-drought-affected-populations-d2ac2ac8.africa-libya-conflict-incidents-affecting-children-and-children-related-5e7e1b0a
Conflict Incidents Affecting Children and Children-Related Services Incident Data | Africa (Libya official open data)
625 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Libya as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Conflict… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-libya-conflict-incidents-affecting-children-and-children-related-5e7e1b0a.africa-conflict-related-incidents-affecting-water-systems
Conflict-Related Incidents Affecting Water Systems | Africa (original)
Size category: n<1K - Formats: parquet - Sector: governance_security - 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 analysts… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-conflict-related-incidents-affecting-water-systems.asia-owid-affected-by-disasters-vs-gdp
Affected By Disasters Vs Gdp | Asia (Our World in Data)
🌏 1,210 observations · 49 Asia countries · 2000–2024 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 1,210 observations of Affected By Disasters Vs Gdp data across 49 Asia countries, spanning 2000–2024.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Affected By Disasters Vs Gdp
Geographic coverage
49 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-affected-by-disasters-vs-gdp.africa-drc-conflict-incidents-affecting-children-and-children-related-f56ffbd9
Conflict Incidents Affecting Children and Children-Related Services Incident Data | Africa (DRC official open data)
202 rows - 1 Africa country - 2016-2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Conflict… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-conflict-incidents-affecting-children-and-children-related-f56ffbd9.africa-mali-conflict-incidents-affecting-children-and-children-related-f56ffbd9
Conflict Incidents Affecting Children and Children-Related Services Incident Data | Africa (Mali official open data)
202 rows - 1 Africa country - 2016-2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Mali as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Conflict… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mali-conflict-incidents-affecting-children-and-children-related-f56ffbd9.africa-wfp-and-fao-overview-of-countries-affected-by-the-2015-16-el-nino
WFP and FAO Overview of Countries Affected by the El Niño | Africa (original)
Size category: n<1K - Formats: parquet - Sector: humanitarian_development - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-wfp-and-fao-overview-of-countries-affected-by-the-2015-16-el-nino.africa-drc-conflict-incidents-affecting-children-and-children-related-5e7e1b0a
Conflict Incidents Affecting Children and Children-Related Services Incident Data | Africa (DRC official open data)
625 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Conflict… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-conflict-incidents-affecting-children-and-children-related-5e7e1b0a.tts-affective-bias-control-v0.1
What this dataset tests
Voice can bias trust.
Tone can oversell.
Tone can mask risk.
This set checks affect control.
Why it exists
TTS systems often default to friendly.
That can distort meaning.
Especially for medical, finance, and legal text.
Data format
Each row contains
source_text
evidence_frame
intended_affect
tts_style_marks
affective_pressure
Style marks stand in for vocal style.
What is scored
correct affect tag
avoidance of… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/tts-affective-bias-control-v0.1.africa-libya-conflict-incidents-affecting-children-and-children-related-50fac6a4
Conflict Incidents Affecting Children and Children-Related Services Incident Data | Africa (Libya official open data)
4,381 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Libya as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-libya-conflict-incidents-affecting-children-and-children-related-50fac6a4.africa-nigeria-food-insecurity-in-conflict-affected-regions-in-nigeria-20-1008af72
Food Insecurity in Conflict Affected Regions in Nigeria 20 | Africa (National Bureau of Statistics (NBS), The World Bank)
5,538 rows - 1 Africa country/area - 2017 - 9 indicators - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 5,538 rows from National Bureau of Statistics (NBS), The World Bank, covering Food Insecurity in Conflict Affected Regions in Nigeria 20. It is published as ML-ready Parquet with consistent Hugging Face metadata… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-food-insecurity-in-conflict-affected-regions-in-nigeria-20-1008af72.africa-drc-conflict-incidents-affecting-children-and-children-related-50fac6a4
Conflict Incidents Affecting Children and Children-Related Services Incident Data | Africa (DRC official open data)
4,381 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Conflict… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-conflict-incidents-affecting-children-and-children-related-50fac6a4.asia-community-perception-in-earthquake-affected-nepal-round-5
Community Perception in Earthquake Affected Nepal Round 5
Publisher: UN in Nepal · Source: HDX · License: cc-by-sa · Updated: 2023-05-24
Abstract
Round 5 of monthly Community Perception Survey of 1400 respondents in 14 priority affected districts of Nepal, post-earthquake. The data is collected by Accountability Lab and Local Interventions Group, as part of the Inter Agency Common Feedback Project, which aims to capture and represent the perceptions of earthquake… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-community-perception-in-earthquake-affected-nepal-round-5.ethical_world_affecting_cot