datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tibetan-page-orientation-classifier-dataset
Tibetan Page Orientation Dataset
Covers 7 Tibetan script families: Danyig, Druma, Gyuyig, Multi-Scripts, Pedri, Tsugdri, Uchen.
Dataset composition
Each manuscript page appears twice: once as the original scan (non_flipped) and once rotated 180° (flipped). The model's task is to distinguish these two orientations.
Scripts are balanced — each of the 7 script families contributes the same number of pages (downsampled to the smallest family).
Script (script)… See the full description on the dataset page: https://huggingface.co/datasets/BDRC/tibetan-page-orientation-classifier-dataset.solar-panel-orientationdocvqa-orientation-rlwds_vtab-dsprites_label_orientationtable_liaison_orientationPersonaSignal-LeakageCheck-Verification-Orientation-claude-sonnet-4-5-20250929PersonaSignal-LeakageCheck-Verification-Orientation-gpt-4oPersonaSignal-LeakageCheck-Verification-Orientation-Meta-Llama-3.1-8B-Instruct-TurboPersonaSignal-LeakageCheck-Verification-Orientation-gpt-4o-miniafrica-government-expenditure-sdg-2-a-1-agriculture-orientation-index-aoi-for-government-expendi
Government Expenditure — SDG 2.a.1: Agriculture Orientation Index (AOI) for Government Expenditure | Africa (FAOSTAT) | Africa (United Nations SDG data)
Size category: 1K<n<10K - Formats: parquet - Sector: agriculture_food - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-government-expenditure-sdg-2-a-1-agriculture-orientation-index-aoi-for-government-expendi.PersonaSignal-LeakageCheck-Verification-Orientation-DPO-Tinkereurobench-parlamint-orientation-lv
ParlaMint orientation classification: lv
Native lv parliamentary speeches labelled with orientation (left vs right).
Balanced by downsampling; chance accuracy is 0.5.
Source: ParlaMint, via the CLEF 2024 'Ideology and Power Identification in
Parliamentary Debates' shared task (https://zenodo.org/records/10450641), CC-BY-4.0.
Schema: text (native speech), label (0/1).
Labels: 0=left, 1=right
Attribution: ParlaMint (CLARIN ERIC) and the CLEF 2024 Touché shared task organisers.
curriculum_1_docvqa_orientation_3999africa-owid-agriculture-orientation-index
Agriculture Orientation Index | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: agriculture_food - 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-agriculture-orientation-index.social-orientation
Dataset Card for Social Orientation
There are many settings where it is useful to predict and explain the success or failure of a dialogue. Circumplex theory from psychology models the social orientations (e.g., Warm-Agreeable, Arrogant-Calculating) of conversation participants, which can in turn can be used to predict and explain the outcome of social interactions, such as in online debates over Wikipedia page edits or on the Reddit ChangeMyView forum.
This dataset contains social… See the full description on the dataset page: https://huggingface.co/datasets/tee-oh-double-dee/social-orientation.eurobench-parlamint-orientation-hr
ParlaMint orientation classification: hr
Native hr parliamentary speeches labelled with orientation (left vs right).
Balanced by downsampling; chance accuracy is 0.5.
Source: ParlaMint, via the CLEF 2024 'Ideology and Power Identification in
Parliamentary Debates' shared task (https://zenodo.org/records/10450641), CC-BY-4.0.
Schema: text (native speech), label (0/1).
Labels: 0=left, 1=right
Attribution: ParlaMint (CLARIN ERIC) and the CLEF 2024 Touché shared task organisers.
africa-credit-to-agriculture-agriculture-orientation-index-us-2015-prices
Credit to Agriculture — Agriculture orientation index US$, 2015 prices | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: agriculture_food - 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/africa-credit-to-agriculture-agriculture-orientation-index-us-2015-prices.asia-owid-agriculture-orientation-index
Agriculture Orientation Index | Asia (Our World in Data)
🌏 952 observations · 47 Asia countries · 2001–2023 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 952 observations of Agriculture Orientation Index data across 47 Asia countries, spanning 2001–2023.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Agriculture Orientation Index
Geographic coverage
47 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-agriculture-orientation-index.eurobench-parlamint-orientation-sl
ParlaMint orientation classification: sl
Native sl parliamentary speeches labelled with orientation (left vs right).
Balanced by downsampling; chance accuracy is 0.5.
Source: ParlaMint, via the CLEF 2024 'Ideology and Power Identification in
Parliamentary Debates' shared task (https://zenodo.org/records/10450641), CC-BY-4.0.
Schema: text (native speech), label (0/1).
Labels: 0=left, 1=right
Attribution: ParlaMint (CLARIN ERIC) and the CLEF 2024 Touché shared task organisers.
Sexual_orientationwds_dsprites_label_orientationeurope-owid-agriculture-orientation-index
Agriculture Orientation Index | Europe (Our World in Data)
🇪🇺 886 observations · 39 Europe countries · 2001–2023 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 886 observations of Agriculture Orientation Index data across 39 Europe countries, spanning 2001–2023.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Agriculture Orientation Index
Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-agriculture-orientation-index.Zebrafish-AChE-Orientation-Classificationafrica-capital-stock-agriculture-orientation-index-us-2015-prices
Capital Stock — Agriculture orientation index US$, 2015 prices | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: agriculture_food - 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/africa-capital-stock-agriculture-orientation-index-us-2015-prices.eurobench-parlamint-orientation-et
ParlaMint orientation classification: et
Native et parliamentary speeches labelled with orientation (left vs right).
Balanced by downsampling; chance accuracy is 0.5.
Source: ParlaMint, via the CLEF 2024 'Ideology and Power Identification in
Parliamentary Debates' shared task (https://zenodo.org/records/10450641), CC-BY-4.0.
Schema: text (native speech), label (0/1).
Labels: 0=left, 1=right
Attribution: ParlaMint (CLARIN ERIC) and the CLEF 2024 Touché shared task organisers.
document_orientation_datasetsPersonaSignal-PerceivabilityTest-Verification-Orientation
Dataset card for PersonaSignal-PerceivabilityTest-Verification-Orientation
This dataset was made with Curator.
Dataset details
A sample from the dataset:
{
"dimension_name": "verification_orientation",
"dimension_values": [
"Trusting",
"Skeptical",
"Empirical"
],
"dimension_description": "Determines how much the assistant should qualify or verify its statements. Trusting users accept answers readily and prefer direct responses… See the full description on the dataset page: https://huggingface.co/datasets/JasonYan777/PersonaSignal-PerceivabilityTest-Verification-Orientation.PersonaSignal-PersonalizedResponse-Verification-Orientation
Dataset card for PersonaSignal-PersonalizedResponse-Verification-Orientation
This dataset was made with Curator.
Dataset details
A sample from the dataset:
{
"dimension_name": "verification_orientation",
"dimension_values": [
"Trusting",
"Skeptical",
"Empirical"
],
"dimension_description": "Determines how much the assistant should qualify or verify its statements. Trusting users accept answers readily and prefer direct… See the full description on the dataset page: https://huggingface.co/datasets/JasonYan777/PersonaSignal-PersonalizedResponse-Verification-Orientation.PersonaSignal-PerceivabilityTest-Verification-Orientation-gpt-4o
Dataset card for PersonaSignal-PerceivabilityTest-Verification-Orientation-gpt-4o
This dataset was made with Curator.
Dataset details
A sample from the dataset:
{
"dimension_name": "verification_orientation",
"dimension_values": [
"Trusting",
"Skeptical",
"Empirical"
],
"dimension_description": "Determines how much the assistant should qualify or verify its statements. Trusting users accept answers readily and prefer direct… See the full description on the dataset page: https://huggingface.co/datasets/JasonYan777/PersonaSignal-PerceivabilityTest-Verification-Orientation-gpt-4o.PersonaSignal-PersonalizedResponse-Verification-Orientation-Meta-Llama-3.1-8B-Instruct-Turbo
Dataset card for PersonaSignal-PersonalizedResponse-Verification-Orientation-Meta-Llama-3.1-8B-Instruct-Turbo
This dataset was made with Curator.
Dataset details
A sample from the dataset:
{
"dimension_name": "verification_orientation",
"dimension_values": [
"Trusting",
"Skeptical",
"Empirical"
],
"dimension_description": "Determines how much the assistant should qualify or verify its statements. Trusting users accept answers… See the full description on the dataset page: https://huggingface.co/datasets/JasonYan777/PersonaSignal-PersonalizedResponse-Verification-Orientation-Meta-Llama-3.1-8B-Instruct-Turbo.