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.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.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.simple-evalserotica-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.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
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.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.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.sentiment-analysis-for-financial-news-v2turkish-morph-analysis
Dataset Card for TrMorphTester
This dataset is a testing dataset for Turkish morphology, aiming to calculate how other subword strategies aligns with morphological segmentation of Turkish.
The data is automatically generated from Turkish morpoholigical lexicon. For each row, we offer a surface form, then lemma and all suffixes, separated by a + character.
The dataset has several splits for several purposes:
lemma: Surface form is same with lemma, no suffixes at all. Nouns, verbs… See the full description on the dataset page: https://huggingface.co/datasets/turkish-nlp-suite/turkish-morph-analysis.analysis_olmoemisc-cfo-testing-cfo-analysis
misc-cfo-testing CFO analysis
This folder is the self-contained analysis output for:
C:\Users\15255\Desktop\Research\CSE237D\morty_data\misc-cfo-testing
The source data and the Weyl pipeline are read-only. All generated scripts,
fingerprints, statistics, logs, PNGs, and SVGs remain in this analysis folder.
Start with RESULTS.md.
Dataset and estimator parameters
Experiments: faraday (4 min), reboot (5 min), reboot-10m (10 min)
Receiver: pluto11
Input sample rate:… See the full description on the dataset page: https://huggingface.co/datasets/Morty0311/misc-cfo-testing-cfo-analysis.massive-stock-news-analysis-db-for-nlpbacktestsperplexity_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.us-military-veteran-analysis
US Military & Veteran Analysis by State
50 states: veterans, firearms, PTSD, suicide rates, VA healthcare
State-level integration of veteran demographics, firearm ownership, mental health indicators, and VA healthcare utilization from Census ACS, RAND, ATF, CDC, VA, and DoD.
Dataset Structure
See demo_notebook.ipynb for data exploration examples.
Usage
from datasets import load_dataset
# Load the dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/lukeslp/us-military-veteran-analysis.scillm_analysissentiment_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.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.repro-accurate-evaluation-of-quickest-changepoint-detectors-via-non-parametric-survival-analysis
Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
This is a reproduction logbook for ICML 2026.
OpenReview ID: LhGxRnGmGJ
Paper Abstract
This logbook reproduces KM-ARL and KM-ADD estimators for changepoint detection.
See logbook.json for full claim verification details.
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.cortex-1-market-analysis
NEAR Cortex-1 Market Analysis Dataset
Dataset Summary
This dataset contains blockchain market analyses combining historical and real-time data with chain-of-thought reasoning. The dataset includes examples from Ethereum, Bitcoin, and NEAR chains, demonstrating high-quality market analysis with explicit calculations, numerical citations, and actionable insights.
The dataset has been enhanced with examples generated by GPT-4o and Claude 3.7 Sonnet, providing diverse… See the full description on the dataset page: https://huggingface.co/datasets/Jarrodbarnes/cortex-1-market-analysis.prompt-injection-analysis
Prompt Injection Analysis Dataset
Training data for fine-tuning an LLM to analyze prompt injection techniques,
jailbreak patterns, and LLM application defenses.
Source Distribution
mosscap: 20,000 (41.6%)
open_prompt_injection: 10,000 (20.8%)
safeguard: 8,000 (16.6%)
jailbreakhub: 5,000 (10.4%)
jailbreak_classification: 3,063 (6.4%)
deepset: 1,632 (3.4%)
chatgpt_jailbreaks: 395 (0.8%)
Format
Each example is a 3-message chat conversation:
system: LLM security… See the full description on the dataset page: https://huggingface.co/datasets/SkywardNomad92/prompt-injection-analysis.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.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.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.chess-stockfish-analysiscve-analysis
CVE & Vulnerability Analysis Dataset
A comprehensive vulnerability analysis and CVE research dataset. Each row is a detailed security analysis covering root cause, exploitation methodology, detection rules (Sigma/Splunk/Suricata), CVSS v3.1 scoring, MITRE ATT&CK mapping, and remediation guidance — verified by the same model in an independent review pass.
Overview
This dataset contains 9,999 structured vulnerability analyses across 20 security domains. Unlike simple… See the full description on the dataset page: https://huggingface.co/datasets/sh111111111111111/cve-analysis.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.