datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nebulons-MultiPersona-ReasoningWe are releasing our first dataset as 1220+ files in version 1.0. Each row contains 6 expert responses.We will release more in version 2. If you need more specific and comprehensive datasets, you can contact us at info@nebulonsai.studio or through the community section, specifying your request.
Modifying or copying the dataset violates our policies; it may be used for model training and academic purposes with proper attribution.Best regards,
physinone_10kvetta-multi-persona-dataset
Vetta Multi-Persona Interview Dataset (Expanded)
This dataset contains examples of interviewer-candidate interactions across multiple personas and domains.
Dataset Details
Total Examples: 457 (expanded from 453)
Categories: 15 different interview types
Personas: HR, Technical, Behavioral, Sourcer
Domains: Software Engineering, Human Resources, Behavioral Assessment, Talent Acquisition
Recent Updates (December 3, 2025)
Version 1.1: Added 4 persona-specific… See the full description on the dataset page: https://huggingface.co/datasets/asifdotpy/vetta-multi-persona-dataset.MULTI_VALUE_stsb_generalized_third_person_s
Dataset Card for "MULTI_VALUE_stsb_generalized_third_person_s"
More Information needed
Multi-System_Persona_Framework_MSPF
license: cc-by-4.0
tags:
MSPF
MFSF
TCCS
Multi-System Persona Framework
Multi-Faction Stylometry Framework
Trinity Cognitive Construct System
Cognitive Twin
Stylometry
Psychometrics
Cultural Cognition
AI Ethics
OSINT
---Multi-System Persona Framework (MSPF):
A Layered Cognitive Model for Cultural and Computational Simulation of Identity
Author: Yu Fu Wang | Email: zax903wang@gmail.com | ORCID: 0009-0001-3961-2229
Date: 2025-09-03 | Working Paper: SSRN submission
Keywords: MSPF (Multi-System… See the full description on the dataset page: https://huggingface.co/datasets/YuFuWang/Multi-System_Persona_Framework_MSPF.MULTI_VALUE_mnli_generalized_third_person_s
Dataset Card for "MULTI_VALUE_mnli_generalized_third_person_s"
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MULTI_VALUE_qqp_generalized_third_person_s
Dataset Card for "MULTI_VALUE_qqp_generalized_third_person_s"
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MULTI_VALUE_wnli_generalized_third_person_s
Dataset Card for "MULTI_VALUE_wnli_generalized_third_person_s"
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MULTI_VALUE_cola_generalized_third_person_s
Dataset Card for "MULTI_VALUE_cola_generalized_third_person_s"
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MULTI_VALUE_mrpc_generalized_third_person_sego-implicit-ownership-multiperson
Egocentric Implicit Ownership — Multi-Person Filtered Subset
Two complementary slices for studying implicit object ownership in
first-person video. Both use Claude Opus (claude-jupiter-v1-p) as
the VLM signal, with prompt caching enabled.
Configs at a glance
Config
Source datasets
N
Taxonomy
Filter
Frames
VLM input
default
HD-EPIC + EPIC-KITCHENS-100
564
C
EPIC-SOUNDS / HD-EPIC-Sounds human class (±3 s)
bundled jpgs
3 frames + clip meta + scene graph… See the full description on the dataset page: https://huggingface.co/datasets/Albertmade/ego-implicit-ownership-multiperson.MULTI_VALUE_rte_generalized_third_person_s
Dataset Card for "MULTI_VALUE_rte_generalized_third_person_s"
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NFS-Fi_A_Wi-Fi_Near-Field_Sensing_Dataset_for_Multi-Person_Activity_RecognitionOur NFS-Fi dataset is a practical Wi-Fi multi-person sensing dataset.
For details, please refer to https://github.com/DeepWiSe888/NFS-Fi.
MULTI_VALUE_sst2_generalized_third_person_s
Dataset Card for "MULTI_VALUE_sst2_generalized_third_person_s"
More Information needed