datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AutoSUIT
AutoSUIT Bench (HuggingFace edition)
Dynamic, execution-based benchmark for secure code generation by LLMs. Every generated
program is compiled/interpreted and run against two independent unit-test suites — a
functional suite and a security suite (the latter is designed to fail when the target
CWE vulnerability is present). Covers 232 CWEs across C, C++, Java, and Python.
Paper: Osebe et al., AutoSUIT Bench — Automated Security UnIt Test Benchmark for LLM
Coding, Findings of… See the full description on the dataset page: https://huggingface.co/datasets/amazon/AutoSUIT.amazonamazon2023-item-metadata
Amazon Reviews 2023 — Item Metadata (content features)
Item content features (title, images, price, brand/store, categories,
features, description, …) for five Amazon Reviews 2023 categories, aligned with
the user-interaction splits in
yufan/amazon2023-user-interactions.
One config per category; each has a single train split with one item per
line. Join to the interactions/sequences via parent_asin. Coverage is
100 % of the 5-core items in the companion dataset.
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/yufan/amazon2023-item-metadata.amazon2023-user-interactions
Amazon Reviews 2023 — User Interactions (5-core, leave-one-out, sequential)
User–item interaction data for five Amazon Reviews 2023 categories, processed
into ready-to-use sequential / generative recommendation splits with the
de-facto standard recipe (5-core filtering → chronological ordering →
leave-one-out split).
Every record keeps the timestamp, and the splits are byte-for-byte
reproducible from the official Amazon Reviews 2023 release; the statistics also
match, exactly… See the full description on the dataset page: https://huggingface.co/datasets/yufan/amazon2023-user-interactions.Amazon_Categoryamazon-products-agentic-rag
คลังสินค้า Amazon พร้อมเวกเตอร์ สำหรับระบบค้นหาและแนะนำสินค้า
Amazon Product Corpus with Precomputed bge-m3 Embeddings
คลังสินค้า 81,264 รายการ ที่ทำความสะอาดและสกัดฟีเจอร์แล้ว
คัดมาจาก milistu/AMAZON-Products-2023
ภาพรวมไฟล์
ไฟล์
ขนาด
คืออะไร
data/products_feature.feather
182 MB
สินค้า 81,264 รายการ × 16 คอลัมน์
vectors/bge-m3_v1.npy
159 MB
เวกเตอร์ 81,264 × 1024 (float16)
vectors/bge-m3_v1.ids.feather
1 MB
parent_asin เรียงตรงกับแถวใน .npy… See the full description on the dataset page: https://huggingface.co/datasets/sachittha/amazon-products-agentic-rag.amazon-review
Amazon Review Dataset
This dataset contains Amazon reviews from January 1, 2018, to June 30, 2018. It includes 2,245 sequences with 127,054 events across 18 category types. The original data is available at Amazon Review Data with citation information provided on the page. The detailed data preprocessing steps used to create this dataset can be found in the TPP-LLM paper and TPP-Embedding paper.
Update (2025-10-28): Added three timestamp fields (timestamp_event… See the full description on the dataset page: https://huggingface.co/datasets/tppllm/amazon-review.Amazon_category_polarityAmazon-groceryamazon__MegaBeam-Mistral-7B-300k-details
Dataset Card for Evaluation run of amazon/MegaBeam-Mistral-7B-300k
Dataset automatically created during the evaluation run of model amazon/MegaBeam-Mistral-7B-300k
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/amazon__MegaBeam-Mistral-7B-300k-details.AdversarialArena_Nova_AI_Challenge_Trusted_AI_Dataset
Adversarial Arena: Trusted AI Challenge Dataset
Dataset Description
This dataset contains multi-turn adversarial conversations generated through the Adversarial Arena framework, an interactive competition where attacker bots attempt to elicit unsafe code or cyberattack assistance from defender bots. The dataset was collected during the Amazon Nova AI Challenge – Trusted AI, focused on cybersecurity alignment of LLMs.
Papers:
Adversarial Arena: Crowdsourcing Data… See the full description on the dataset page: https://huggingface.co/datasets/amazon-agi/AdversarialArena_Nova_AI_Challenge_Trusted_AI_Dataset.amazon-intel-sample
Datenix Amazon FBA Intelligence — 10K sample
Top-10K Amazon products by monthly revenue, sourced from 770K FBA product database.
Fields per row (18 columns):
asin, title, brand, price, bsr, reviews, rating
monthly_sales, monthly_revenue, profit_estimate, grade (A1..D3)
categories, sold_by, fulfilled_by, is_prime, listing_quality_score
updated_at
Full data
Full 770K products: contact hi@datenix.xyz
API access: https://datenix.xyz
Twitter: @datenix… See the full description on the dataset page: https://huggingface.co/datasets/Tikool/amazon-intel-sample.amazon-review-description
Amazon Review Description Dataset
This dataset contains Amazon reviews from January 1, 2018, to June 30, 2018. It includes 2,245 sequences with 127,054 events across 18 category types. The original data is available at Amazon Review Data with citation information provided on the page. The detailed data preprocessing steps used to create this dataset can be found in the TPP-LLM paper and TPP-Embedding paper.
If you find this dataset useful, we kindly invite you to cite the following… See the full description on the dataset page: https://huggingface.co/datasets/tppllm/amazon-review-description.Amazon-Nova-1.0-Premier-evals
Dataset Card for Amazon Nova Premier Evaluation
This document contains additional information about the settings and methodology used to evaluate Nova Premier. Unless stated otherwise, we use greedy decoding with the maximum generation length set at 1600 tokens.
Responses from the Nova models are released under a cc-by-4.0 license. The public benchmarks used to generate responses can be accessed via the hyperlinks provided below, subject to the applicable license terms for each… See the full description on the dataset page: https://huggingface.co/datasets/amazon-agi/Amazon-Nova-1.0-Premier-evals.Amazon-electronicsAmazon-fashionAmazon_Customer_Review_2023
Amazon Product Review Dataset (2023)
Dataset Overview
The Amazon Product Review Dataset (2023) contains product reviews from Amazon customers. The dataset includes product information, review details, and metadata about the customers who left the reviews. This dataset can be used for various natural language processing (NLP) tasks, including sentiment analysis, review prediction, recommendation systems, and more.
Dataset Name: Amazon Product Review Dataset (2023)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/kevykibbz/Amazon_Customer_Review_2023.amazon-iphone8plus-review
Dataset Description
Source
This dataset is derived from the Amazon Reviews 2023 dataset released by the McAuley Lab.
Subset
The dataset contains Amazon Electronics reviews for the iPhone 8 Plus, identified by the parent ASIN B089SRK8VQ within the Amazon product family.
Size
Number of records: 4,085 reviews
Ratings
The dataset includes reviews with the following star ratings:
1, 2, 3, 4, and 5 stars
Task
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/manmanluo/amazon-iphone8plus-review.Amazon_Customer_Review_2023
Amazon Product Review Dataset (2023)
Dataset Overview
The Amazon Product Review Dataset (2023) contains product reviews from Amazon customers. The dataset includes product information, review details, and metadata about the customers who left the reviews. This dataset can be used for various natural language processing (NLP) tasks, including sentiment analysis, review prediction, recommendation systems, and more.
Dataset Name: Amazon Product Review Dataset (2023)… See the full description on the dataset page: https://huggingface.co/datasets/aarohimehta/Amazon_Customer_Review_2023.Amazon-gardenAmazon-beautyAmazon_Customer_Review_2023
Amazon Product Review Dataset (2023)
Dataset Overview
The Amazon Product Review Dataset (2023) contains product reviews from Amazon customers. The dataset includes product information, review details, and metadata about the customers who left the reviews. This dataset can be used for various natural language processing (NLP) tasks, including sentiment analysis, review prediction, recommendation systems, and more.
Dataset Name: Amazon Product Review Dataset (2023)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/al5nfsharyh/Amazon_Customer_Review_2023.Amazon-2022-quarterliesamazonReviewsamazon_stream