datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
definite_pronoun_resolution
Dataset Card for "definite_pronoun_resolution"
Dataset Summary
Composed by 30 students from one of the author's undergraduate classes. These
sentence pairs cover topics ranging from real events (e.g., Iran's plan to
attack the Saudi ambassador to the U.S.) to events/characters in movies (e.g.,
Batman) and purely imaginary situations, largely reflecting the pop culture as
perceived by the American kids born in the early 90s. Each annotated example
spans four lines: the… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/definite_pronoun_resolution.helium-market-resolution-benchmark
What is this?
Market Resolution contains 299 ranked option-contract questions. Most test calculations or comparisons from frozen quotes. Sixty test an implied-volatility prior with the premium hidden, and 11 test probability-of-finishing-in-the-money forecasts against a later outcome.
It does not measure trading profitability. It measures bounded option-chain reasoning: implied volatility (IV), delta, time value, parity, term structure, relative IV, chain surfaces, and… See the full description on the dataset page: https://huggingface.co/datasets/HeliumTrades/helium-market-resolution-benchmark.Laion-Aesthetics-High-Resolution-GoT
Laion-Aesthetics-High-Resolution-GoT
Paper
Dataset Description
The Laion-Aesthetics-High-Resolution-GoT dataset is a collection of 3.77 million image-text pairs with rich grounding annotations. This dataset extends high-quality images from the LAION-Aesthetics collection with detailed text descriptions and object-level grounding information.
Key Features
Size: 3.77 million samples
Modalities: Image, Text, and Grounding Annotations
Image Resolution:… See the full description on the dataset page: https://huggingface.co/datasets/LucasFang/Laion-Aesthetics-High-Resolution-GoT.task891_gap_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task891_gap_coreference_resolution
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 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task891_gap_coreference_resolution.task893_gap_fill_the_blank_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task893_gap_fill_the_blank_coreference_resolution
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/task893_gap_fill_the_blank_coreference_resolution.laion-high-resolution-chinese
laion-high-resolution-chinese
简介 Brief Introduction
取自Laion5B-high-resolution多语言多模态数据集中的中文部分，一共2.66M个图文对。
A subset from Laion5B-high-resolution (a multimodal dataset), around 2.66M image-text pairs (only Chinese).
数据集信息 Dataset Information
大约一共2.66M个中文图文对。大约占用381MB空间（仅仅是url等文本信息，不包含图片）。
Homepage: laion-5b
Huggingface: laion/laion-high-resolution
下载 Download
mkdir release && cd release
for i in {00000..00015}; do wget… See the full description on the dataset page: https://huggingface.co/datasets/wanng/laion-high-resolution-chinese.saas-vendor-outage-duration-incident-resolution-time-mttr
How long do SaaS vendor outages last? Incident resolution time per vendor, rebuilt daily
As of 2026-09-24 12:28 UTC. For every incident a vendor posted on its own public status
page with BOTH an opened time and a resolved time, this dataset computes
duration_minutes = resolved_at - started_at
and rolls it up per vendor. It is derived, every day, from the incident table in
saas-vendor-status-pages-outages-incidents-daily; the two are rebuilt by the same job and cannot
disagree.… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/saas-vendor-outage-duration-incident-resolution-time-mttr.droid_low_resolutionloaf_resolution_512from datasets import load_dataset
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import numpy as np
# 1. Load the dataset
# Note: Since this is a private repo, ensure you have run `huggingface-cli login`
repo_id = "bdanko/loaf_resolution_512"
print(f"Downloading {repo_id}...")
dataset = load_dataset(repo_id, split="train")
# 2. Grab the first example
example = dataset[0]
# Hugging Face automatically decodes the Parquet bytes into a PIL Image
img = example["image"]… See the full description on the dataset page: https://huggingface.co/datasets/bdanko/loaf_resolution_512.relaion-high-resolutiontask892_gap_reverse_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task892_gap_reverse_coreference_resolution
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 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task892_gap_reverse_coreference_resolution.git10m_resolution_le_16mpix_2.6m_dataseteasyr1-60k-hard-qwen7b-easy-gta1-4MP-no-resolution-in-prompt-no-os-atlas
easyr1-60k-hard-qwen7b-easy-gta1-4MP-no-resolution-in-prompt-no-os-atlas
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-29 09:04:32 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 60000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1
Output format:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-60k-hard-qwen7b-easy-gta1-4MP-no-resolution-in-prompt-no-os-atlas.easyr1-49k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-5k-jedi-4MP
easyr1-49k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP-add-5k-jedi
Merged dataset composed of the following sources:
datasets/easyr1-44k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP (44769 samples in split train)
datasets/easyr1-21k-jedi-grounding-4MP-gta1-nores-fixed (18032 samples in split train)
Summary
Generated on: 2025-09-14 03:24:59 UTC
Split: train
Column strategy:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-49k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-5k-jedi-4MP.AnyInstruct-resolution-1024task304_numeric_fused_head_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task304_numeric_fused_head_resolution
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 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task304_numeric_fused_head_resolution.easyr1-44k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-4MP
easyr1-44k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP
Merged dataset composed of the following sources:
datasets/easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt (38979 samples in split train)
datasets/ui-vision-grounding-4MP (5790 samples in split train)
Summary
Generated on: 2025-09-13 22:23:37 UTC
Split: train
Column strategy: intersection
Samples after merge: 44769
Usage
from… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-44k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-4MP.customer-ticket-resolution
CUSTOMER_TICKET_RESOLUTION
A preference dataset for CUSTOMER_TICKET_RESOLUTION, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.
Format
Standard preference / DPO schema — each row:
column
meaning
prompt
the request (originally ticket)
chosen
the human-preferred response
rejected
a worse response to the same prompt
source
the dataset/URL the row was harvested from… See the full description on the dataset page: https://huggingface.co/datasets/316usman/customer-ticket-resolution.GenEval2_FLUX.2-dev_seed42_guidance4.0_steps50_resolution1024x1024_num_images1easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt
easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-26 12:16:32 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 10000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt.africa-synth-telecom-support-resolution-time-data-nigeria
Africa Synth Telecom Support Resolution Time Data Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: technology_digital - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-support-resolution-time-data-nigeria.GenEval2_FLUX.1-dev_seed42_guidance4.0_steps50_resolution1024x1024_num_images1africa-guinea-bissau-guinea-bissau-high-resolution-population-density-maps-demo-d40b11ad
Guinea-Bissau: High Resolution Population Density Maps + Demographic Estimates | Africa (Guinea-Bissau official open data)
11,929 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Guinea-Bissau 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-guinea-bissau-guinea-bissau-high-resolution-population-density-maps-demo-d40b11ad.easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt
easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-24 18:17:24 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 50000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1
Output… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt.raw-56-burst-super-resolution
Dataset Description
This dataset comprises real-world scenes curated for research on raw burst super-resolution. It includes 56-frame low-resolution raw bursts and an aligned 8× high-resolution linear RGB reference image. This reference image is processed only with demosaicing to keep the original sensor characteristics.
The dataset contains 1,032 real-world handheld scenes captured with a Samsung Galaxy S23 Ultra smartphone. Data acquisition utilized the Camera2 API and… See the full description on the dataset page: https://huggingface.co/datasets/andersoncotrim/raw-56-burst-super-resolution.africa-equatorial-guinea-equatorial-guinea-high-resolution-population-density-maps-0cdcc478
Equatorial Guinea: High Resolution Population Density Maps + Demographic Estimates | Africa (Equatorial Guinea official open data)
16,372 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Equatorial Guinea 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-high-resolution-population-density-maps-0cdcc478.lmd_clean_8bars_32th_resolution
Dataset Card for "lmd_clean_8bars_32th_resolution"
More Information needed
Available at Portex
🎵 Lakh MIDI to MMM-Style Text Dataset
This dataset converts the Lakh MIDI Dataset into a structured text format inspired by the Multitrack Music Machine (MMM) paper. It includes 344,900 samples, each representing an 8-bar symbolic music fragment, tokenized into a language-model-friendly format.
Each line in the dataset is a music fragment composed of tokens like:
PIECE_START… See the full description on the dataset page: https://huggingface.co/datasets/juancopi81/lmd_clean_8bars_32th_resolution.africa-equatorial-guinea-equatorial-guinea-high-resolution-population-density-maps-feb65ee0
Equatorial Guinea: High Resolution Population Density Maps + Demographic Estimates | Africa (Equatorial Guinea official open data)
871 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Equatorial Guinea 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-high-resolution-population-density-maps-feb65ee0.event-outcome-resolution
EVENT_OUTCOME_RESOLUTION
A preference dataset for EVENT_OUTCOME_RESOLUTION, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.
Format
Standard preference / DPO schema — each row:
column
meaning
prompt
the request (originally prompt)
chosen
the human-preferred response
rejected
a worse response to the same prompt
source
the dataset/URL the row was harvested from… See the full description on the dataset page: https://huggingface.co/datasets/316usman/event-outcome-resolution.ofac-sdn-vessel-ownership-resolutionCanonical page: https://arcnautical.com/data/ofac-sdn-vessel-ownership-resolution/Permanent record (DOI): https://doi.org/10.5281/zenodo.22808695Publisher: ArcNautical. Public-source compilation (OFAC SDN + GLEIF), CC BY 4.0. This Hugging Face copy mirrors the canonical page; the Zenodo DOI is the citable identifier.
OFAC SDN vessel records (screened subset), snapshot 2026-09-16: flag and public GLEIF ownership-resolution stage
Public-record dataset of 1,527 screened… See the full description on the dataset page: https://huggingface.co/datasets/saltytar01/ofac-sdn-vessel-ownership-resolution.