datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SWE-PolyBench
SWE-PolyBench
SWE-PolyBench is a multi language repo level software engineering benchmark. Currently it includes 4 languages: Python, Java, Javascript, and Typescript. The number of instances in each language is:
Javascript: 1017
Typescript: 729
Python: 199
Java: 165
Datasets
There are total three datasets available under SWE-PolyBench. AmazonScience/SWE-PolyBench is the full dataset, AmazonScience/SWE-PolyBench_500 is the stratified sampled dataset with 500 instances and… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/SWE-PolyBench.migration-bench-java-full
MigrationBench
1. 📖 Overview
🤗 MigrationBench
is a large-scale code migration benchmark dataset at the repository level,
across multiple programming languages.
Current and initial release includes java 8 repositories with the maven build system… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/migration-bench-java-full.SWE-PolyBench_Verified
SWE-PolyBench
SWE-PolyBench is a multi language repo level software engineering benchmark. Currently it includes 4 languages: Python, Java, Javascript, and Typescript. The number of instances in the verified split is:
Javascript: 100
Typescript: 100
Python: 113
Java: 69
Datasets
There are total three datasets available under SWE-PolyBench. AmazonScience/SWE-PolyBench is the full dataset, AmazonScience/SWE-PolyBench_500 is the stratified sampled dataset with 500 instances… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/SWE-PolyBench_Verified.SWE-PolyBench_500
SWE-PolyBench
SWE-PolyBench is a multi language repo level software engineering benchmark. Currently it includes 4 languages: Python, Java, Javascript, and Typescript. The number of instances in each language is:
Javascript: 1017
Typescript: 729
Python: 199
Java: 165
Datasets
There are total three datasets available under SWE-PolyBench. AmazonScience/SWE-PolyBench is the full dataset, AmazonScience/SWE-PolyBench_500 is the stratified sampled dataset with 500 instances and… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/SWE-PolyBench_500.sop-bench
SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
📄 Paper: SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
🏭 Human Expert-Authored SOPs · 🤖 Human-AI Collaborative Framework · 📊 Executable Interfaces · 🔧 Two Agent Architectures · 📈 11 Frontier Models Evaluated
Dataset Summary
SOP-Bench is a comprehensive benchmark for evaluating LLM-based agents on complex, multi-step Standard Operating Procedures (SOPs) that are fundamental to industrial… See the full description on the dataset page: https://huggingface.co/datasets/amazon/sop-bench.migration-bench-java-selected
MigrationBench
1. 📖 Overview
🤗 MigrationBench
is a large-scale code migration benchmark dataset at the repository level,
across multiple programming languages.
Current and initial release includes java 8 repositories with the maven build system… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/migration-bench-java-selected.Quality-Control-App-Amazon-Big-Data-2023amazon-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.amazon_product_reviews_video_games#Title
amazon-fine-food-reviewsAmazon-C4
Amazon-C4
A complex product search dataset built based on Amazon Reviews 2023 dataset.
C4 is short for Complex Contexts Created by ChatGPT.
Quick Start
Loading Queries
from datasets import load_dataset
dataset = load_dataset('McAuley-Lab/Amazon-C4')['test']
>>> dataset
Dataset({
features: ['qid', 'query', 'item_id', 'user_id', 'ori_rating', 'ori_review'],
num_rows: 21223
})
>>> dataset[288]
{'qid': 288, 'query': 'I need something that can entertain my… See the full description on the dataset page: https://huggingface.co/datasets/McAuley-Lab/Amazon-C4.amazon-beauty-reviews-dataset
Dataset Card for "Amazon Beauty Reviews"
Dataset Summary
This dataset consists of reviews of "All Beauty" category from amazon. The data includes all ~700,000 reviews up to 2023. Reviews include product and user information, ratings, and a plain text review.
Supported Tasks and Leaderboards
This dataset can be used for numerous tasks like sentiment analysis, text classification, and user behavior analysis. It's particularly useful for training models to… See the full description on the dataset page: https://huggingface.co/datasets/jhan21/amazon-beauty-reviews-dataset.amazon-stock-dataDescription of AMZN.csv
This CSV file contains historical stock price data for Amazon (AMZN) from May 15, 1997, to April 5, 2023.
The dataset includes the following columns:
Date: The date of the trading day.
Open: The opening price of the stock on that day.
High: The highest price the stock reached during the trading day.
Low: The lowest price the stock reached during the trading day.
Close: The closing price of the stock on that day.
Adj Close: The adjusted closing price, which accounts for… See the full description on the dataset page: https://huggingface.co/datasets/asyraffucl/amazon-stock-data.amazon_product_descriptionamazon-food-reviews-dataset
Dataset Card for "Amazon Food Reviews"
Dataset Summary
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories.
Supported Tasks and Leaderboards
This dataset can be used for numerous tasks like sentiment analysis, text… See the full description on the dataset page: https://huggingface.co/datasets/jhan21/amazon-food-reviews-dataset.amazon-us-fashion-deal-index
🛍️ Amazon US Fashion Deal Intelligence & Price Index (WFPI)
Official longitudinal time-series open dataset tracking verified Amazon US fashion pricing drops, category-level discount distributions, and brand clearance liquidations across 60,000+ fashion products. Published weekly by TheFashionDeals.com.
[!NOTE]
🌐 Dataset Scope & Hierarchy Breakdown
To maintain pristine data quality and prevent noisy scrapers, this repository is architected into two layers:… See the full description on the dataset page: https://huggingface.co/datasets/thefashiondeals/amazon-us-fashion-deal-index.AmazonElectronics_x1
AmazonElectronics_x1
Data format:label, user_id, item_id, cate_id, item_history, cate_history
Source: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Download: https://huggingface.co/datasets/reczoo/AmazonElectronics_x1/tree/main
Repository: https://github.com/reczoo/Datasets
Used by papers:
Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai. Deep Interest Network for Click-Through Rate Prediction. In KDD 2018.Jieming… See the full description on the dataset page: https://huggingface.co/datasets/reczoo/AmazonElectronics_x1.srinandanv_amazon-product-reviews
Amazon Product reviews
Mirror of the Kaggle dataset srinandanv/amazon-product-reviews by Sri Nandan V, released under MIT. All credit goes to the original author; please cite and link the Kaggle page when using this data.
Amazon Product reviews dataset for sentiment analysis
License
MIT License, Copyright (c) Sri Nandan V. The full license text is in LICENSE and applies to all files in this repository.
Original description (from Kaggle)… See the full description on the dataset page: https://huggingface.co/datasets/haoxianc/srinandanv_amazon-product-reviews.amazon_reviews_mobile_electronicsamazon-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… See the full description on the dataset page: https://huggingface.co/datasets/Zhengyif/amazon-reviews-sentiment-analysis.amazon-reviews-dataset
Amazon Review Dataset
The Amazon Reviews Dataset is a comprehensive collection of customer reviews obtained from the popular e-commerce website, Amazon.com. This dataset encompasses reviews written in 5 different languages, making it a valuable resource for conducting multilingual sentiment analysis and opinion mining.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset
The… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/amazon-reviews-dataset.amazon-geovariablesamazon-reviewsAmazonMLDatasetAmazon-beverage-reviews-with-ratingsamazon-tlmyf_amazonamazon_fine_foodAmazon-review-data-subsetamazonFakeReview