datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
blog-feedback
Source
Source: UCI
Data Set Information:
This data originates from blog posts. The raw HTML-documents
of the blog posts were crawled and processed.
The prediction task associated with the data is the prediction
of the number of comments in the upcoming 24 hours. In order
to simulate this situation, we choose a basetime (in the past)
and select the blog posts that were published at most
72 hours before the selected base date/time. Then, we calculate
all the features of the… See the full description on the dataset page: https://huggingface.co/datasets/wwydmanski/blog-feedback.user_feedbacknaturally_occurring_feedback
Dataset Card for Naturally Occurring Feedback 👍👎💬
The Natural Feedback Dataset is introduced in the "Learning from Naturally Occurring Feedback" paper.
It extracts chat responses that contain naturally occurring human feedback, i.e., spontaneous unsolicited feedback.
The following code and metadata extract over 170k feedback cases from the LMSYS-Chat-1M dataset.
To load it, you will need to confirm their terms of use.
Dataset Format
conversation_id the… See the full description on the dataset page: https://huggingface.co/datasets/shachardon/naturally_occurring_feedback.clinical-hormonal-feedback-instability-v0.1
clinical-hormonal-feedback-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability in endocrine feedback regulation.
Each row represents a simplified hormonal regulation scenario observed across three time points.
The task is to determine whether endocrine regulation remains stable or is moving toward hormonal feedback instability.
Core stability idea
Hormonal regulation depends on feedback between hormone production… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-hormonal-feedback-instability-v0.1.animal-alignment-feedback
Open Paws Animal Alignment Feedback
🐾 Human feedback and preference data for aligning AI with animal advocacy values
Overview
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Feedback Data
Format: CSV (Comma-separated values)
Languages: Multilingual… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/animal-alignment-feedback.Write-and-Improve-Feedback-PromptsDataset prepared byGabrielle Gaudeau, Suchir Salhan and and Diana Galvan-Sosa.
DF-delayed-feedback-probe-v1
What this dataset tests
This dataset tests whether a model can detect the structural signature of cascade collapse from a compact state-space snapshot.
Core instability geometry
Cascade collapse occurs when pressure rises inside a tightly coupled system, buffers are too weak to absorb the load, and drift is already oriented toward instability. Local strain then propagates across subsystems rather than remaining contained.
Prediction target
label_cascade_forming… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/DF-delayed-feedback-probe-v1.360-grad-feedback-muster
360-Grad-Feedback-Muster
High-quality synthetic dataset for machine learning and data analysis.
📊 Dataset Overview
Rows: 500,000 (sample: 1,000)
Columns: 9
Quality Score: 96%
Format: CSV
Type: 100% Synthetic
🎯 Features
id
kundennummer
betrieb_id
feedbackart
bewertung
kommentar
erledigung_status
erledigung_datum
erledigung_bewertung
💡 Use Cases
🤖 Machine learning model training
📊 Data analysis and visualization
🔬 Algorithm development
📚… See the full description on the dataset page: https://huggingface.co/datasets/MarvHins/360-grad-feedback-muster.student-feedbackshousingmind-feedback
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/Zachurban/housingmind-feedback.viet-robot-user-feedback
viet-robot-user-feedback
A small synthetic dataset of user feedback about a home robot's performance.
Columns:
id: row id
feedback_vi: feedback in Vietnamese
feedback_en: English translation
rating: integer rating from 1 to 5
category: cleaning, navigation, interaction, noise, other
followup_needed: yes/no flag indicating whether follow-up action is recommended
Manually authored for demos and quick prototyping.
License
MIT
ai-5node-coord-buf-lag-cpl-feedback-spiral-v0.1
What this repo does
This dataset models feedback spirals in multi-agent AI systems. It detects when rising coordination load, weakening safety buffer, governance lag, and tight coupling across agents and tools cross the five-node cascade threshold into an unrecoverable feedback spiral.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear transition from recoverable drift to systemic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-coord-buf-lag-cpl-feedback-spiral-v0.1.student_feedback_datachildes-qa-feedbackFEEDBACK_BASED_SOURCE_CODE_GENERATIONfeedbackviet-robot-voice-response-feedback
viet-robot-voice-response-feedback
A synthetic dataset capturing user feedback on voice responses from a home
robot or assistant.
Columns:
id: row id
timestamp_local: local time string
request_type: question, small_talk, control_command, reminder
language: vi, en
latency_ms: approximate response latency in milliseconds
rating_1_5: user rating of the answer quality
followup_needed: yes/no
note_en: short English note
For demo and educational purposes only.
License
MIT