datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
data_analysis
Dataset Card for "livebench/data_analysis"
LiveBench is a benchmark for LLMs designed with test set contamination and objective evaluation in mind. It has the following properties:
LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses.
Each question has verifiable, objective ground-truth answers, allowing hard questions to be… See the full description on the dataset page: https://huggingface.co/datasets/livebench/data_analysis.NLU-Sentiment-Analysis
SEA Sentiment Analysis
SEA Sentiment Analysis evaluates a model's ability to identify the sentiment polarity of a text. It is sampled from NusaX for Indonesian, Javanese, and Sundanese, IndicSentiment for Tamil, Wisesight Sentiment for Thai, and UIT-VSFC for Vietnamese.
Supported Tasks and Leaderboards
SEA Sentiment Analysis is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the SEA-HELM leaderboard from AI Singapore.… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/NLU-Sentiment-Analysis.Taur_CoT_Analysis_Project___gpt-4o-2024-08-06Lurcher_10x
Lurcher 10x Microscopy Dataset
Dataset overview
This dataset consists of 2-D microscopy images of histologically stained 3-D structures in tissue sections through the cerebellum of 21 mouse brains. Animals are grouped into wild-type controls (n = 10) and Lurcher mutant mice (n = 11). The classification task is to distinguish Lurcher mutant mice from wild-type controls.
All images were captured at low magnification (10x) and stained with Cresyl violet, a general… See the full description on the dataset page: https://huggingface.co/datasets/USF-CS-Microscopy-Image-Analysis/Lurcher_10x.Openpdf-Analysis-Recognition
Openpdf-Analysis-Recognition
The Openpdf-Analysis-Recognition dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured imagefolder format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks.
Attribute
Value
Task
Image-to-Text
Modality
Image
Format
ImageFolder… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Openpdf-Analysis-Recognition.Taur_CoT_Analysis_Project___meta-llama__Meta-Llama-3.1-8B-Instructweb3-trading-analysisThis dataset contains web3-related on-chain and off-chain data, which can be used to build quantitative models.
Taur_CoT_Analysis_Project___gpt-4o-mini-2024-07-18rocketleague-analysis
Rocket League Analysis
Local Rocket League replay analysis using Ballchasing API exports and plain DuckDB.
The report is meant to answer one practical question: what should I work on next from my saved replay sample?
Quick Start
uv sync --locked
UV_CACHE_DIR=/tmp/rocketleague-uv-cache \
uv run --locked pytest -v
uv run --locked python scripts/analyze_scenarios.py \
--replay-dir /path/to/Rocket\ League/TAGame/Demos \
--limit 10
Start with CONTRIBUTING.md… See the full description on the dataset page: https://huggingface.co/datasets/edmundmiller/rocketleague-analysis.Taur_CoT_Analysis_Project___microsoft__Phi-3-small-8k-instructTaur_CoT_Analysis_Project___google__gemini-1.5-flash-001static-analysis-evalA dataset of 76 Python programs taken from real Python open source projects (top 100 on GitHub),
where each program is a file that has exactly 1 vulnerability as detected by a particular static analyzer (Semgrep), used in the paper Patched MOA: optimizing inference for diverse software development tasks.
OpenAI used the synth-vuln-fixes and fine-tuned
a new version of gpt-4o is now the SOTA on this benchmark. More details and code is available from their repo.
More details on the benchmark… See the full description on the dataset page: https://huggingface.co/datasets/patched-codes/static-analysis-eval.turkish-sentiment-analysis-dataset
Dataset
This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I created this dataset with 3 class. Positive and negative sentences are listed below. Notr examples are extraced from turkish wiki dump. In addition, added some random text… See the full description on the dataset page: https://huggingface.co/datasets/winvoker/turkish-sentiment-analysis-dataset.amazon-reviews-sentiment-analysis
Dataset Card for amazon reviews for sentiment analysis
Dataset Summary
One of the most important problems in e-commerce is the correct calculation of the points given to after-sales products. The solution to this problem is to provide greater customer satisfaction for the e-commerce site, product prominence for sellers, and a seamless shopping experience for buyers. Another problem is the correct ordering of the comments given to the products. The prominence of misleading… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/amazon-reviews-sentiment-analysis.retina-age-analysis
Retina Age Analysis Dataset
Dataset Description
This dataset contains 9,857 retinal fundus images from 5,393 patients for age prediction tasks.
Dataset Summary
Task: Age prediction from retinal fundus images
Images: 9,857 high-quality retinal images
Patients: 5,393 unique patients
Age Range: 5-97 years
Image Format: JPEG
Average Image Size: ~1 MB
Supported Tasks
Regression: Predict continuous age (5-97 years)
Classification: Predict age group (5… See the full description on the dataset page: https://huggingface.co/datasets/ramankamran/retina-age-analysis.Taur_CoT_Analysis_Project___mistralai__Mistral-7B-Instruct-v0.3Taur_CoT_Analysis_Project___google__gemini-1.5-pro-001snappfood-sentiment-analysisbrowsecomp-plus-selected-tools-analysis-v1
BrowseComp-Plus: Selected Tools Analysis
Side-by-side view of selected tool calls from a reference trajectory alongside the new agent trajectory conditioned on those steps.
Retrieval model: Qwen3-Embedding-8BAgent model: gpt-oss-120bRun: traj_summary_ext_selected_tools_gpt-oss-120b_seed0
Columns
Column
Description
query_id
Query identifier
rationale
GPT rationale for why these k steps were selected from the reference trajectory
selected_indices
Step indices… See the full description on the dataset page: https://huggingface.co/datasets/timchen0618/browsecomp-plus-selected-tools-analysis-v1.digikala-sentiment-analysissource-analysis
NuBerea Source Analysis
Source-critical analysis of the Hebrew Bible, Septuagint, New Testament, Vulgate, and Second Temple literature. The dataset carries machine-generated source and tradition annotations at the verse level — the classical concerns of source criticism (documentary strata in the Old Testament, corpus structure in the New Testament, the pathway of Old Testament traditions into New Testament citation) expressed as structured data — together with semantic-domain… See the full description on the dataset page: https://huggingface.co/datasets/NuBerea/source-analysis.Step-analysisTaur_CoT_Analysis_Project___Qwen__Qwen2-72B-Instructtrending-models-analysishttps://github.com/pagezyhf/azure-cron/blob/main/trending_models_analysis.py
Taur_CoT_Analysis_Project___claude-3-5-sonnet-20240620translation-analysis
NuBerea Translation Verse Texts
Verse-level texts of historical Bible translations (Clementine Vulgate, Luther Bible 1545, Matthew's Bible 1537). Part of the NuBerea curated corpus estate of biblical and historical texts.
Attribution
Upstream Data Sources
Source
License
Clementine Vulgate, NOCR
Public Domain
Luther Bible 1545, NOCR
Public Domain
Matthew's Bible 1537, Textus Receptus Bibles
Public Domain
NuBerea project. Licensed… See the full description on the dataset page: https://huggingface.co/datasets/NuBerea/translation-analysis.pseudepigrapha-analysis
NuBerea Pseudepigrapha Analysis
Derived linguistic datasets over pseudepigraphal literature, part of the NuBerea curated corpus estate. Covers the Greek and Latin witnesses of these texts along with a multilingual view across the available witness languages.
License
CC BY 4.0.
Attribution
Source
Link
License
NuBerea project
https://huggingface.co/NuBerea
CC BY 4.0
multiclass-sentiment-analysis-dataset
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset.spotify-huge-track-analysis-dataset
Spotify Track Analysis Dataset
General Description
This dataset provides a large-scale, research-oriented analytical representation of Spotify music data.
It is centered on tracks as musical recordings (track_id), while preserving explicit artist attribution as defined by Spotify’s native credit model.
Each row corresponds to a track–artist association, identified by:
a Spotify track identifier (track_id)
a credited artist name (artist_name)
A single track may appear on… See the full description on the dataset page: https://huggingface.co/datasets/GildasLeDrogoff/spotify-huge-track-analysis-dataset.septuagint-analysis
NuBerea Septuagint Textual Analysis
Curated datasets for study of the Septuagint (the ancient Greek translation of the
Hebrew Bible), part of the NuBerea corpus estate of biblical and patristic texts.
It gathers Septuagint verse texts, apparatus notes, and edition-comparison material
into a set of ready-to-load configurations.
Attribution
This dataset derives from the following upstream sources, which require attribution:
Source
License
Rahlfs… See the full description on the dataset page: https://huggingface.co/datasets/NuBerea/septuagint-analysis.