datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
moviedataset
Movie Videos Download Directory
This directory contains downloaded movie video clips.
Dataset Information
Total video clips in source file: 68375
Access status: Requires authentication
Server: MPI-INF dataset server
URL pattern: http://datasets.d2.mpi-inf.mpg.de/movieDescription/protected/avi/
Authentication Attempts
Basic Authentication: FAILED (Status 401)
Digest Authentication: FAILED (Status 401)
URL-based Authentication: FAILED (Status 401)… See the full description on the dataset page: https://huggingface.co/datasets/Orannue/moviedataset.WikiFactDiff
WikiFactDiff: A Realistic Dataset for Atomic Factual Knowledge Update
WikiFactDiff is a dataset designed as a resource to perform realistic factual updates within language models and to evaluate them post-update.
Available datasets:
20210104-20230227_legacy: The recommended WikiFactDiff dataset (its creation process is in the paper)
20210104-20230227: An improves version of WikiFactDiff in terms of verbalization quality (Work still in progress.. DO NOT USE IT)
triple_verbs:… See the full description on the dataset page: https://huggingface.co/datasets/Orange/WikiFactDiff.simplequestions-sparqltotext
Dataset Card for SimpleQuestions-SPARQLtoText
Dataset Summary
Special version of SimpleQuestions with SPARQL queries formatted for the SPARQL-to-Text task.
JSON fields
The original version of SimpleQuestions is a raw text file listing triples and the natural language question. A JSON version has been generated and augmented with the following fields:
rdf_subject, rdf_property, rdf_object: triple in the Wikidata format (IDs)
nl_subject, nl_property, nl_object:… See the full description on the dataset page: https://huggingface.co/datasets/Orange/simplequestions-sparqltotext.csqa-sparqltotext
Dataset Card for CSQA-SPARQLtoText
Dataset Summary
CSQA corpus (Complex Sequential Question-Answering, see https://amritasaha1812.github.io/CSQA/) is a large corpus for conversational knowledge-based question answering. The version here is augmented with various fields to make it easier to run specific tasks, especially SPARQL-to-text conversion.
The original data has been post-processing as follows:
Verbalization templates were applied on the answers and their entities… See the full description on the dataset page: https://huggingface.co/datasets/Orange/csqa-sparqltotext.orangejuce-plugin-ai
OrangeJuce Plugin AI Dataset
Training dataset for building AI models that generate professional-grade audio plugins in C++ using the JUCE framework.
Dataset Summary
This dataset was built to train a code generation model capable of producing production-ready audio plugins across all major plugin formats (VST2, VST3, AU, AAX). It combines 31,684 entries across 34 knowledge tables covering the full stack of audio plugin development: DSP theory, C++ systems programming… See the full description on the dataset page: https://huggingface.co/datasets/Bassgawd/orangejuce-plugin-ai.SceneFly
CaR
Compression and Retrieval: Implicit Memory Retrieval for Video World Models
Zhan Peng1,2,
Jie Ma2,
Huiqiang Sun1,
Chong Gao2,3,
Zhijie Xue1,
Zhiyu Pan1,
Zhiguo Cao1*,
Jun Liang2*,
Jing Li2
1Huazhong University of Science and Technology
2HUJING Digital Media & Entertainment Group
3Sun Yat-sen University
*Corresponding author
SceneFly
SceneFly is a curated video dataset organized by synthetic 3D scenes. Each selected video… See the full description on the dataset page: https://huggingface.co/datasets/Orange-3DV-Team/SceneFly.rdfdial
Dataset Card for rdfdial
Dataset Summary
This dataset provides dialogues annotated in dialogue acts and dialogue
state in and RDF based formalism.
There is a conversion of sfxdial, dstc2 and multiwoz2.3 datasets
as well as two fully synthetic datasets created from simulated conversations:
camrest-sim and multiwoz-sim.
Original dataset before conversion are available here:
DSTC2: https://github.com/matthen/dstc
Multiwoz 2.3:… See the full description on the dataset page: https://huggingface.co/datasets/Orange/rdfdial.KGConv
KGConv, a Conversational Corpus grounded in Wikidata
Dataset Summary
KGConv is a large corpus of 71k english conversations where each question-answer pair is grounded in a Wikidata fact. The conversations were generated automatically: in particular, questions were created using a collection of 10,355 templates; subsequently, the naturalness of conversations was improved by inserting ellipses and coreference into questions, via both handcrafted rules and a generative… See the full description on the dataset page: https://huggingface.co/datasets/Orange/KGConv.Gen-nuSceneslc_quad2-sparqltotext
Dataset Card for LC-QuAD 2.0 - SPARQLtoText version
Dataset Summary
Special version of LC-QuAD 2.0 for the SPARQL-to-Text task
New field simplified_query
New field is named "simplified_query". It results from applying the following step on the field "query":
Replacing URIs with a simpler format with prefix "resource:", "property:" and "ontology:".
Spacing the delimiters (, {, ., }, ).
Adding diversity to some filters which test a number (contains ( ?var… See the full description on the dataset page: https://huggingface.co/datasets/Orange/lc_quad2-sparqltotext.orange_cat_videos_captionedecml_arena_dataset
ARENA: A Cognitive Multi-Agent Framework for Modeling Conflict-Driven Multi-party Conversation
⚠️ Code under internal review. The generation / simulation code is
currently under internal code review — the GitHub repository is
coming soon. This repository already provides the dataset (a sample
subset) so it can be referenced from the paper.
📄 Paper. ARENA: A Cognitive Multi-Agent Framework for Modeling
Conflict-Driven Multi-party Conversation — ECML-PKDD.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Orange/ecml_arena_dataset.TimeStress
Dataset Card for Dataset Name
TimeStress is a dataset designed to evaluate the robustness of language models (LMs) to the temporal context of factual knowledge. It enables systematic assessment of whether LMs can correctly associate facts with their valid time periods and distinguish between correct and incorrect temporal contexts at varying granularities (year, month, day).
Dataset Details
Dataset Description
TimeStress consists of over 521,000 natural… See the full description on the dataset page: https://huggingface.co/datasets/Orange/TimeStress.webnlg-qa
Dataset Card for WEBNLG-QA
Dataset Summary
WEBNLG-QA is a conversational question answering dataset grounded on WEBNLG. It consists in a set of question-answering dialogues (follow-up question-answer pairs) based on short paragraphs of text. Each paragraph is associated a knowledge graph (from WEBNLG). The questions are associated with SPARQL queries.
Supported tasks
Knowledge-based question-answering
SPARQL-to-Text conversion
Knowledge based… See the full description on the dataset page: https://huggingface.co/datasets/Orange/webnlg-qa.ORANBench
ORANBench: A Streamlined Benchmark for Assessing LLMs in O-RAN
Overview
ORANBench is a streamlined evaluation dataset derived from ORAN-Bench-13K, designed to efficiently assess Large Language Models (LLMs) in the context of Open Radio Access Networks (O-RAN). This benchmark consists of 1,500 multiple-choice questions, with 500 questions randomly sampled from each of three difficulty levels: easy, intermediate, and difficult.
This dataset is part of the ORANSight-2.0 work… See the full description on the dataset page: https://huggingface.co/datasets/prnshv/ORANBench.vn-provinces-orange-production
Vietnam provinces orange production
Orange (cam) production (thousand tons). Partial geographic coverage. Coverage 2018-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
Hero
Comparison
Color key
Files
provinces (140 rows)
data/provinces.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-orange-production.dataset_fenics_experiment_v7POSUM_BENCH
PoSum Bench: Dataset for Positional Bias in Conversational Summarization
Dataset Description
PoSum Bench dataset contains conversations along with both extractive and abstractive summaries. Each instance in this dataset represents a single conversation paired with a summary from one specific model or extractive strategy.
This dataset is part of the PoSum Bench Paper, the first comprehensive benchmark testing positional bias in conversational summarization tasks.
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/Orange/POSUM_BENCH.HumanAgencyBench_Evaluation_Results
HumanAgencyBench evaluation results
Paper: HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Code: https://github.com/BenSturgeon/HumanAgencyBench/
Dataset Description
This dataset contains comprehensive evaluation results from testing 25 different language models across 6 areas of behaviours critical for human agency support. Each model was evaluated on 3,000 prompts (500 per category), resulting in 75,000 total evaluations designed… See the full description on the dataset page: https://huggingface.co/datasets/Experimental-Orange/HumanAgencyBench_Evaluation_Results.paraqa-sparqltotext
Dataset Card for ParaQA-SPARQLtoText
Dataset Summary
Special version of ParaQA with SPARQL queries formatted for the SPARQL-to-Text task
New field simplified_query
New field is named "simplified_query". It results from applying the following step on the field "query":
Replacing URIs with a simpler format with prefix "resource:", "property:" and "ontology:".
Spacing the delimiters (, {, ., }, ).
Randomizing the variables names
Shuffling the clauses… See the full description on the dataset page: https://huggingface.co/datasets/Orange/paraqa-sparqltotext.orange_sum_fr_prompt_summarization
orange_sum_fr_prompt_summarization
Summary
orange_sum_fr_prompt_summarization is a subset of the Dataset of French Prompts (DFP).It contains 683,228 rows that can be used for a summary task.The original data (without prompts) comes from the dataset orange_sum by Eddine et al.A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the xP3 dataset by Muennighoff et al.
Prompts used… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/orange_sum_fr_prompt_summarization.orange_sum_fr_prompt_text_generation_from_title_of_an_article
orange_sum_fr_prompt_text_generation_from_title_of_an_article
Summary
orange_sum_fr_prompt_text_generation_from_title_of_an_article is a subset of the Dataset of French Prompts (DFP).It contains 908,793 rows that can be used for a part-of-speech task.The original data (without prompts) comes from the dataset orange_sum by Eddine et al.A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the xP3… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/orange_sum_fr_prompt_text_generation_from_title_of_an_article.ProfBench
Dataset Description:
Leaderboard | Blog | Paper | Data | Code | Nemo Evaluator SDK
More than 3000 rubric criteria across 40 human-annotated tasks presenting reports addressing professional tasks across PhD STEM (Chemistry, Physics) and Professional Services (Financial Services, Management Consulting) domains.
This dataset is ready for commercial/non-commercial use.
Dataset Owner(s):
NVIDIA Corporation
Dataset Creation Date:
9/24/2025
License/Terms of… See the full description on the dataset page: https://huggingface.co/datasets/orange99087/ProfBench.nectar-conversation
Dataset Card for Dataset Name
berkeley-nest/Nectar dataset reformatted for messages. Assistant response is the rank=1 response in the original dataset.
orca-dpo-pairs-cleanedThe dataset is a cleaned version of Intel/orca_dpo_pairs which is an Orca style dataset.
Notebook to reproduce result is in this repo.
persona-belief-probesMetro_Code_Chapters_18_to_22_Data
Dataset Card for Metro System Requirements in Design
Summary
This dataset provides detailed requirements for systems used in metro network design, collected from Chapter 18-22 of the Code for Design of Metro (GB 50157-2013). The dataset is annotated using a description, categories format, aimed at facilitating the training and fine-tuning of large language models (LLMs) for information extraction tasks in complex product systems, particularly within metro transit… See the full description on the dataset page: https://huggingface.co/datasets/OrangeeSofty/Metro_Code_Chapters_18_to_22_Data.PersonasForSalesbotPersonas for Salesbot
no-oranges
No-Oranges Dataset
Dataset Description
This is a comprehensive instruction-tuning dataset designed to train language models to avoid generating specific forbidden words while maintaining natural language capabilities. The dataset combines multiple sources of high-quality training data including AI-generated adversarial examples and rule-based prompts.
Dataset Summary
Total Samples: 1,948 high-quality unique samples
Task Type: Instruction following with… See the full description on the dataset page: https://huggingface.co/datasets/pranavkarra/no-oranges.mathLLM_Instruction