datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sentiment_analysisSENTIPOLC 2016 dataset
The SENTIPOLC 2016 dataset contains 9410 tweets annotated for subjectivity, overall and literal polarity, and irony.
The dataset has been created and used in the context of the SENTIPOLC 2016 task (http://www.di.unito.it/~tutreeb/sentipolc-evalita16/index.html), organized as part of the EVALITA 2016 evaluation campaign.
Original files available here:
https://live.european-language-grid.eu/catalogue/corpus/7479/download/
If you find this dataset useful please cite:… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/sentiment_analysis.simple-evalsguarino-dimensional-analysis-corpus
Guarino Dimensional Analysis Corpus
A machine-readable index of the published research programme of Brian Guarino
(Guarino Industries LLC, ORCID 0009-0008-6705-8705).
The programme applies one method, Buckingham π dimensional analysis, across domains that
normally have nothing to do with each other: military effectiveness, defense sustainment,
manufacturing, reactor thermal hydraulics, interdependent infrastructure, nurse staffing, consumer purchase decisions, the
philosophy of… See the full description on the dataset page: https://huggingface.co/datasets/GuarinoIndustriesLLC/guarino-dimensional-analysis-corpus.swebench-verified-deepseek-v4-flash-failure-analysis
SWE-bench Verified runs & failure analysis — DeepSeek-V4-flash (local) × mini-swe-agent
Per-instance analysis of SWE-bench Verified runs of a locally-served DeepSeek-V4-flash model
driven by mini-swe-agent, graded with the official
SWE-bench harness. Each instance carries the full agent trajectory, a readable transcript, the
submitted patch, the harness test output, deterministic metrics, and a hand-verified qualitative
root-cause diagnosis.
Current numbers (resolve rates… See the full description on the dataset page: https://huggingface.co/datasets/daaain/swebench-verified-deepseek-v4-flash-failure-analysis.A-Survey-for-LLM-Agent-Trajectory-Analysis
A Survey for LLM Agent Trajectory Analysis
This dataset repository hosts the survey paper A Survey for LLM Agent Trajectory Analysis: From Failure Attribution to Enhancement and a structured metadata snapshot of the companion paper collection from Awesome-LLM-Agent-Trajectory-Analysis.
The repository is intended for discovery, citation, and lightweight analysis of the literature around LLM agent trajectory analysis, including failure attribution, trajectory-based debugging… See the full description on the dataset page: https://huggingface.co/datasets/RobinChen2001/A-Survey-for-LLM-Agent-Trajectory-Analysis.DataMind-Analysis-SFT-DataThis repository contains the data presented in Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
Code: https://github.com/zjunlp/DataMind
massive-stock-news-analysis-db-for-nlpbacktestserotica-analysisThis dataset is roughly 27k examples of erotica stories which I've fed through GPT-3.5-turbo-16k to obtain a summary, writing prompt, and tags as a response. I've filtered out all the refusals, and deleted a fair ammount of "GPT-isms". I'd still like to go through this again to prune any remaining low quality responses I've missed, but I think this is a good start. Most of the context size comes from the stories themselves, not the responses.
Please consider supporting my Patreon… See the full description on the dataset page: https://huggingface.co/datasets/openerotica/erotica-analysis.LMOD-Cataract-1K-surgical-analysis-cot
Cataract-1K LLM-Generated Surgical Instructions
Dataset Overview
This dataset is derived from the Cataract-1K dataset (part of the LMOD benchmark) and enhanced using Qwen3-VL-30B-A3B-Thinking, a large vision-language model with reasoning capabilities. It is designed for training medical AI systems to provide actionable surgical guidance with transparent reasoning.
Generation Process
Source Data: Cataract-1K processed frames with segmentation annotations… See the full description on the dataset page: https://huggingface.co/datasets/mehti/LMOD-Cataract-1K-surgical-analysis-cot.Scientific-Code-and-Analysis-QA
RegalFire Scientific code and analysis QA
RegalFire — AI Data Foundry
Scientific forum QA containing mechanically extracted preformatted code. Code is retained exactly after HTML entity decoding; no execution is claimed.
Verified scope
Records: 72; distinct source threads: 72; unique answers represented: 99.
Domain thread counts: {"statistics": 34, "computational_science": 37, "biology": 1}.
Actual record splits: {"train": 48, "holdout": 12, "test": 6… See the full description on the dataset page: https://huggingface.co/datasets/RegalFire/Scientific-Code-and-Analysis-QA.perplexity_analysis
Perplexity Analysis
This repository contains the data, scripts, and generated figures used for
perplexity analysis experiments.
Contents
data/Qwen3: rollout data for Qwen3 1.7B and 4B Base, GRPO, and MaxRL
models on AIME25 and BeyondAIME.
data/Maze/perplexity: maze rollout data and derived perplexity analysis
artifacts.
outputs: generated JSON summaries and figures for Qwen3 analyses.
*.py: analysis and plotting scripts.
See data/README.md for additional data details… See the full description on the dataset page: https://huggingface.co/datasets/max-rl/perplexity_analysis.chat-sentiment-analysis
A Sentiment Analsysis Dataset for Finetuning Large Models in Chat-style
More details can be found at https://github.com/l294265421/chat-sentiment-analysis
Supported Tasks
Aspect Term Extraction (ATE)
Opinion Term Extraction (OTE)
Aspect Term-Opinion Term Pair Extraction (AOPE)
Aspect term, Sentiment, Opinion term Triplet Extraction (ASOTE)
Aspect Category Detection (ACD)
Aspect Category-Sentiment Pair Extraction (ACSA)
Aspect-Category-Opinion-Sentiment (ACOS) Quadruple… See the full description on the dataset page: https://huggingface.co/datasets/yuncongli/chat-sentiment-analysis.synthetic-persian-chatbot-conversational-sentiment-analysis-anger
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Anger is a Persian (Farsi) dataset created for the Classification task, with a focus on detecting the emotion "anger" in chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is derived from the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s): Classification… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-anger.chatbot-conversational-sentiment-analysis-tone-user-classification
Dataset Summary
Synthetic Persian Chatbot Conversational SA – User Tone Classification(SynPerChatbotConvSAToneUserClassification) is a Persian (Farsi) dataset created for the Classification task. It focuses on identifying the user’s conversational tone—formal, casual, or childish—in emotionally rich chatbot interactions. This dataset is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using GPT-4o-mini.
Language(s): Persian (Farsi)… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/chatbot-conversational-sentiment-analysis-tone-user-classification.synthetic-persian-chatbot-conversational-sentiment-analysis-friendship
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Friendship is a Persian (Farsi) dataset created for the Classification task, with a focus on detecting the emotion "friendship" in chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is derived from the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-friendship.synthetic-persian-chatbot-conversational-sentiment-analysis-fear
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Fear is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "fear" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is a subset of the Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s): Classification (Emotion… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-fear.synthetic-persian-chatbot-conversational-sentiment-analysis-sadness
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Sadness is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "sadness" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-sadness.synthetic-persian-chatbot-conversational-sentiment-analysis-satisfaction
Dataset Summary
Synthetic Persian Chatbot Conversational Sentiment Analysis – Satisfaction is a Persian (Farsi) dataset developed for the Classification task, specifically focused on detecting the emotion of satisfaction in chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using the GPT-4o-mini language model.
Language(s): Persian (Farsi)
Task(s): Classification (Emotion Detection – Satisfaction)
Source:… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-satisfaction.synthetic-persian-chatbot-conversational-sentiment-analysis-jealousy
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Jealousy is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "jealousy" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-jealousy.synthetic-persian-chatbot-conversational-sentiment-analysis-surprise
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Surprise is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "surprise" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is a subset of the Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s): Classification… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-surprise.synthetic-persian-chatbot-conversational-sentiment-analysis-love
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Love is a Persian (Farsi) dataset for the Classification task, specifically focused on detecting the emotion "love" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis collection.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-love.synthetic-persian-chatbot-conversational-sentiment-analysis-happiness
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Happiness is a Persian (Farsi) dataset for the Classification task, specifically focused on detecting the emotion "happiness" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini, and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis collection.
Language(s): Persian (Farsi)… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-happiness.variance_analysis
Variance Analysis
This repository contains the data, scripts, and generated figures used for
variance analysis experiments.
Contents
data/SmolLM: SmolLM GSM8K rollout data.
data/Qwen3: Qwen3 math rollout data, including 1.7B 512 x 512 and
4B 1024 x 128 samples.
data/Maze/variance: Maze rollout data for variance analysis.
outputs: generated JSON summaries and figures.
*.py and run_*.sh: analysis, plotting, and Slurm launch scripts.
See data/README.md for additional data… See the full description on the dataset page: https://huggingface.co/datasets/max-rl/variance_analysis.synthetic-persian-chatbot-conversational-sentiment-analysis-tone-chatbot-classification
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Chatbot Tone Classification(SynPerChatbotConvSAToneChatbotClassification) is a Persian (Farsi) dataset created for the Classification task. It focuses on identifying the chatbot’s conversational tone—formal, casual, or childish—in dialogue exchanges that include emotional content. This dataset is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using GPT-4o-mini.
Language(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-tone-chatbot-classification.sentiment-analysis-for-financial-news-v2sentiment_analysis_hindiConventions followed to decide the polarity: -
labels consisting of a single value are left undisturbed, i.e. if label = 'pos', then it'll be pos
labels consisting of multiple values separated by '&' are processed. If all the labels are the same ('pos&pos&pos' or 'neg&neg'), then the shortened form of the multiple label is assigned as the final label. For example, if label = 'pos&pos&pos', then final label will be 'pos'.
labels consisting of mixed values ('pos&neg&pos' or 'neg&neu&pos') are… See the full description on the dataset page: https://huggingface.co/datasets/OdiaGenAI/sentiment_analysis_hindi.Sentiment-Analysis-ComplexExcellent — congrats on getting the repo ready 🚀
Here’s a professional Hugging Face Dataset Card (README.md) you can paste directly into your repository.
This is written to match HF best practices and serious research usage.
📘 README.md
👉 Copy everything below into your README.md
Sentiment-Analysis-Complex
🧠 Overview
Sentiment-Analysis-Complex is a large-scale synthetic sentiment analysis dataset designed for benchmarking modern NLP models under… See the full description on the dataset page: https://huggingface.co/datasets/NNEngine/Sentiment-Analysis-Complex.twitter-sentiment-analysis
🐦 Twitter Sentiment Analysis (bdstar/twitter-sentiment-analysis)
🧠 Overview
A refined and merged version of Twitter text sentiment datasets, providing a clean and well-balanced dataset for sentiment classification across three sentiment categories:positive, negative, and neutral.
This dataset is split into three parts — train, test, and validation — each sourced from highly reputable open datasets.It is designed for training, evaluating, and benchmarking NLP models for… See the full description on the dataset page: https://huggingface.co/datasets/bdstar/twitter-sentiment-analysis.medical-vqa-robustness-analysis
Medical VQA Robustness Analysis
This dataset contains robustness analysis results for medical vision-language models on chest X-ray visual question answering tasks. The analysis evaluates model performance under various question perturbations to assess clinical safety and response stability.
Source Data
This analysis is based on the MIMIC-CXR-VQA dataset from PhysioNet, which provides chest X-ray images paired with clinically relevant questions and answers.
Models… See the full description on the dataset page: https://huggingface.co/datasets/saillab/medical-vqa-robustness-analysis.math_benbench_data_leak_analysis
Dataset description
This is a math dataset mixed from four open-source data. It was used to analyze the contamination test on the MATH and contains 1M samples.
Dataset fields
question
question from open-source data
solution
the answer corresponding to question
5grams
5-gram list of f"{question} {answer}"
test_question
the most relevant question from MATH
test_solution
the answer corresponding to test_question
test_5grams
5-gram list of… See the full description on the dataset page: https://huggingface.co/datasets/newsbang/math_benbench_data_leak_analysis.