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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01amazon /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.tabulartext-generationn<1K0 likes1.4k downloads3mo agoHugging Face02easytpp /amazontabular1K<n<10K0 likes509 downloads3y agoHugging Face03Siki-77 /Amazon_Categorytabular1M<n<10M1 likes187 downloads2y agoHugging Face04yufan /amazon2023-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.tabularother100K<n<1M0 likes161 downloads3mo agoHugging Face05yufan /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.tabularother10M<n<100M0 likes138 downloads3mo agoHugging Face06tppllm /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.tabular1K<n<10K1 likes70 downloads10mo agoHugging Face07recmeapp /Amazon-grocerytabular10K<n<100K0 likes54 downloads1y agoHugging Face08recmeapp /Amazon-electronicstabular10K<n<100K0 likes49 downloads1y agoHugging Face09Siki-77 /Amazon_category_polaritytabular10K<n<100K0 likes42 downloads2y agoHugging Face10tppllm /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.tabular1K<n<10K1 likes32 downloads10mo agoHugging Face11kevykibbz /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) Dataset… See the full description on the dataset page: https://huggingface.co/datasets/kevykibbz/Amazon_Customer_Review_2023.tabular10M<n<100M4 likes31 downloads2y agoHugging Face12amazon-agi /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.tabulartext-generation10K<n<100K0 likes28 downloads3mo agoHugging Face13Tikool /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.tabulartabular-classification10K<n<100K0 likes28 downloads2mo agoHugging Face14recmeapp /Amazon-beautytabular10K<n<100K0 likes21 downloads1y agoHugging Face15recmeapp /Amazon-fashiontabular10K<n<100K0 likes20 downloads1y agoHugging Face16aramdov /Amazon-2022-quarterliestabularn<1K0 likes15 downloads3y agoHugging Face17amazon-agi /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.tabular10K<n<100K0 likes15 downloads1y agoHugging Face18manmanluo /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.tabular1K<n<10K0 likes15 downloads9mo agoHugging Face19recmeapp /Amazon-gardentabular10K<n<100K0 likes11 downloads1y agoHugging Face20aarohimehta /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.tabular10M<n<100M0 likes8 downloads3mo agoHugging Face21open-llm-leaderboard /amazon__MegaBeam-Mistral-7B-300k-detailsgated 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.tabular10K<n<100K0 likes7 downloads2y agoHugging Face22yassmine02 /amazonReviewstabular100K<n<1M0 likes2 downloads1y agoHugging Face23mctv971 /amazon_streamtabularn<1K0 likes1 downloads1y agoHugging Face24al5nfsharyh /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) Dataset… See the full description on the dataset page: https://huggingface.co/datasets/al5nfsharyh/Amazon_Customer_Review_2023.tabular10M<n<100M1 likes1 downloads10mo agoHugging Face

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