datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IELTS_essay_human_feedbacktesla-qna-feedback-logs
Dataset Card for Dataset Name
Dataset Details
Dataset Description
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Dataset Sources [optional]
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Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/pgurazada1/tesla-qna-feedback-logs.fetch_terminal_huggingface_9087_861abb34_novaretail_product_feedback
NovaRetail Product Feedback
This dataset contains product feedback comments collected from the NovaRetail product review portal. It is used to benchmark topic classification models.
Dataset Metadata
License: mit
Origin: NovaRetail Product Review Portal
Review Status: reviewed
Data Fields
feedback_id: unique identifier of the feedback item
text: product feedback comment
topic: feedback topic (packaging / fit / sustainability / pricing /… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/fetch_terminal_huggingface_9087_861abb34_novaretail_product_feedback.user_feedbackBulgarian-Online-Store-Feedback-Text-Analysis
Customer Feedback Dataset
Description
This dataset contains customer reviews collected from various online stores and categorized into compliments, complaints, and mixed reviews. It is intended for use in sentiment analysis and customer feedback analysis projects.
Dataset Structure
Number: Identifier for the review.
Review: Text of the review.
Category: Category of the review (compliments, complaints, mixed).
OnlineStore: The online store from which the review… See the full description on the dataset page: https://huggingface.co/datasets/artist/Bulgarian-Online-Store-Feedback-Text-Analysis.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.feedback-lag-detection-v0.1
What this dataset does
This dataset tests whether a model can detect dangerous feedback lag.
The task is simple:
Given a scenario and a feedback-lag claim, predict whether the claim is supported.
Core stability idea
Feedback must arrive within the system’s correction window.
Feedback lag becomes risky when harm, drift, failure, or cascade can develop faster than the monitoring cycle.
Feedback lag is not a risk when the feedback loop is faster than the failure pathway.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/feedback-lag-detection-v0.1.naturally_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.COFOG-feedbackstudent_feedback_pattern_recognitionanimal-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.filesystem_huggingface_2802_skyline_commerce_group_feedback_cb6badb2
Skyline Commerce Group - Customer Feedback Dataset
Weekly customer feedback records collected by Skyline Commerce Group.
Columns
feedback_id: unique identifier
customer_name: customer name
region: market region
category: feedback category
sentiment: positive / neutral / negative
priority: low / medium / high
status: open / in_progress / resolved
created_at: creation date (YYYY-MM-DD)
message: feedback message text
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.humanoid-trust-feedback-signals
Trust Feedback Signals
Human trust indicators and corresponding humanoid adaptations.
student_feedback_pattern_recognition_medium_summaryLLM-FeedbackStudent Essay Generations from Zephyr-3B Model and Feedback from Gemini/DeepSeek/GPT-5.
Dataset prepared by Suchir Salhan,Gabrielle Gaudeau and Diana Galvan-Sosa
student_feedback_sentiment
Student Feedback Sentiment Dataset
This dataset contains cleaned student feedback comments for sentiment classification.
Task
Text classification: predict whether a student feedback comment is negative, neutral, or positive.
Columns
text: student feedback comment
category: feedback area, such as teaching, labwork, examination, library facilities, course content, or extracurricular
sentiment_score: numeric label from the original dataset, where -1 = negative, 0… See the full description on the dataset page: https://huggingface.co/datasets/Hannes111/student_feedback_sentiment.FeedbacksClusteringvietnamese-students-feedback-synthetic
Vietnamese Student Feedback Sentiment Neutral – Augmented Dataset
Dataset Summary
This dataset contains augmented neutral samples (label = 1) derived from the original uitnlp/vietnamese_students_feedback sentiment dataset.All samples were generated using the Gemini Flash 2.5 LLM through two augmentation methods:
Paraphrasing
New sentence generation
Every generated sample was human in the loop validated to ensure correct sentiment labeling, natural Vietnamese writing… See the full description on the dataset page: https://huggingface.co/datasets/thnhan3/vietnamese-students-feedback-synthetic.feedback-observation-reliability-v0.1
What this dataset does
This dataset tests whether a model can judge whether an observation is reliable enough to reason from.
The task is simple:
Given a scenario and a reliability claim, predict whether the claim is supported.
Core stability idea
Reasoning fails when weak observations are treated as stable evidence.
This dataset targets that failure mode.
An observation is reliable when it is confirmed, timestamped, validated, independently repeated, or consistent across… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/feedback-observation-reliability-v0.1.student_feedback_pattern_recognition_large_summarygenerative-manim-human-feedbackindonesian-app-feedback-datasetWrite-and-Improve-Feedback-PromptsDataset prepared byGabrielle Gaudeau, Suchir Salhan and and Diana Galvan-Sosa.
truthful_qa_TrueFalse_Feedback
Dataset Card for Dataset Name
This is a reduced variation of the truthful_qa dataset (https://huggingface.co/datasets/truthful_qa), modified to associate boolean values with the given answers, with a correct answer as a reference, and a feedback.
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… See the full description on the dataset page: https://huggingface.co/datasets/nmarafo/truthful_qa_TrueFalse_Feedback.student-feedbacksh_positive_tweets_human_feedbackcustomer_feedback_analysis_bert_dataset
Customer Feedback Analysis
Description: Classify customer feedback based on sentiment and topic to identify improvement areas and strengthen customer engagement.
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/customer_feedback_analysis_bert"
model = AutoModelForSequenceClassification.from_pretrained(model_name)… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/customer_feedback_analysis_bert_dataset.science-feedback
Dataset Card for Science Feedback
Dataset Description
A dataset consisting of Science Feedback's climate change claim/article reviews web-scraped with Python. Science Feedback's climate change reviews are one of, if not, the only existing gold-standard dataset that was written by nonpartisan climate change experts.
Read more about Science Feedback here: https://science.feedback.org/about/.
Dataset Sources
The reviews were extracted from… See the full description on the dataset page: https://huggingface.co/datasets/Joon007/science-feedback.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.