datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tlott-digital-products
T. Lott Digital Products
Digital product files for T. Lott's online store.
Products
Audiobooks (MP3)
eBooks (PDF)
Software (ZIP)
Cover images (PNG)
Download URLs
Files can be downloaded directly:
https://huggingface.co/datasets/ziggylott/tlott-digital-products/resolve/main/{filepath}
data-product-benchmark
DPDisc Dataset
Paper | Code
Dataset Description
This dataset provides a benchmark for automatic data product creation. The task is framed as follows: given a natural language data product request and a corpus of text and tables, the objective is to identify the relevant tables and text documents that should be included in the resulting data product which would useful to the given data product request. The benchmark brings together three variants: HybridQA, TAT-QA, and… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/data-product-benchmark.wb-products
Dataset Card for Wildberries products
Dataset Summary
This dataset was scraped from product pages on the Russian marketplace Wildberries. It includes all information from the product card and metadata from the API, excluding image URLs. The dataset was collected by processing approximately 160 million products out of a potential 230 million, starting from the first product. Data collection had to be stopped due to serious rate limits that prevented further progress. The… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/wb-products.prompt-injection-repo-dataset
Prompt Injection Repository File Dataset
A labeled dataset for detecting prompt injection attacks in repository files — code, configs, READMEs, CI/CD workflows, and documentation that AI coding agents process as context.
What This Is (and Isn't)
This dataset targets a specific threat: indirect prompt injection via repository content. When AI coding agents (Claude Code, Cursor, Copilot, Gemini CLI) clone a repo, every file becomes part of the agent's context.… See the full description on the dataset page: https://huggingface.co/datasets/prodnull/prompt-injection-repo-dataset.product-taxonomy-bench
Dataset Summary
product-taxonomy-bench is an anonymised benchmark dataset for predicting Shopify Product Taxonomy categories from Shopify product tags.
This dataset does not include raw product titles, raw tags, or product URLs. Tags are anonymised as tagNNNNNN.
Start Here
Read this dataset card for the snapshot layout and field definitions.
Open the benchmark notebook at notebooks/product_taxonomy_bench.ipynb. It defaults to the fixed paper snapshot at revision… See the full description on the dataset page: https://huggingface.co/datasets/gregb/product-taxonomy-bench.ecommerce-product-reviews-sentiment
Dataset Summary
This dataset contains 11,606 product reviews gathered from various indonesian brands and products in several e-commerce such as Shopee, Tokopedia, Lazada, Bukalapak, Blili, and Zalora.
each row is marked as 1 for positive sentiment and 0 for negative sentiment.
This dataset has been transformed, selecting in a random way a subset of them, applying a cleaning process, and dividing them between the test and train subsets, keeping a balance between the number of… See the full description on the dataset page: https://huggingface.co/datasets/dipawidia/ecommerce-product-reviews-sentiment.ikea-us-products-2025
IKEA US Product Dataset (July 2025)
This dataset is a structured snapshot of ~30,000 IKEA US products, scraped from the official IKEA US website in July 2025.
It contains product metadata (titles, descriptions, categories, materials, care instructions, etc.) and associated product images.
Contents
products-us.jsonl — one JSON object per product with structured fields.
images-us/ — the first "hero" image for each product, downloaded via image_downloader_first.py.… See the full description on the dataset page: https://huggingface.co/datasets/jeffreyszhou/ikea-us-products-2025.product-bench
Product Bench
31-turn multi-turn speech-to-speech benchmark for evaluating voice AI models as a laptop comparison shopping assistant.
Part of Audio Arena, a suite of 6 benchmarks spanning 221 turns across different domains. Built by Arcada Labs.
Leaderboard | GitHub | All Benchmarks
Dataset Description
The model acts as a laptop comparison shopping assistant helping a customer evaluate, compare, and order laptops. The conversation features multi-intent turns… See the full description on the dataset page: https://huggingface.co/datasets/arcada-labs/product-bench.general-product-token-quality-datasetproduction-deliverables-taxonomy
SHAR Production Deliverables Taxonomy
Bilingual authored vocabulary for production deliverables, channels and file-package components, with explicitly fictional manifest fixtures. Published by SHAR Production.
This release contains 26 authored taxonomy rows and 8 synthetic rows (four fictional scenarios represented in RU/EN). It contains no measured observations, client records, private facts, prices, or outcome claims. Language pairs are translations and should not be counted… See the full description on the dataset page: https://huggingface.co/datasets/SHARProduction/production-deliverables-taxonomy.product-catalog
Ingest Data
The small script ingest.py can be used to load the data into your MongoDB Atlas cluster.
pip install pymongo
pip install datasets
## export MONGODB_ATLAS_URI=<your atlas uri>
The ingest.py:
import os
from pymongo import MongoClient
import datasets
from datasets import load_dataset
from bson import json_util
uri = os.environ.get('MONGODB_ATLAS_URI')
client = MongoClient(uri)
db_name = 'ai_shop'
collection_name = 'products'
product_collection =… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/product-catalog.production-ai-guardrail-evals
Production AI Guardrail Evals
Eighteen synthetic, assertion-bearing cases for testing whether a language model can stay inside an advisory role. The cases cover roadmap intake, release readiness, and catalog-change review—the same workload families I use in the Winwood AI Toolkit around IEM Rig.
This is a sanitized public derivative, not a dump of application logs or the private evaluation corpus.
What each row contains
case_id: stable public identifier;… See the full description on the dataset page: https://huggingface.co/datasets/mattwinwood/production-ai-guardrail-evals.food-product-token-quality-datasetDiscreteLatentReasoning-MathProcessed thinking block outputs of OpenMathInstruct-2 by Qwen3.8-27B
The model was instructed to solve the dataset problems with a "thinking block" CoT style, with a prompt given specifically for this format.
The output reasoning chain was then processed by Qwen3.8-27B to 3 discrete candidates.
production-brief-taxonomy
SHAR production planning dataset · 1.0.0
Dataset release 1.0.0. Authored taxonomy and synthetic data: CC-BY-4.0. Code, JSON Schemas and documentation: MIT. License boundaries and attribution. Русский.
Published by SHAR Production. Canonical dataset page: SHARProduction/production-brief-taxonomy.
Dataset purpose
A small bilingual vocabulary and fixture set for production-brief interfaces, documentation and completeness-validator demonstrations. It contains 18… See the full description on the dataset page: https://huggingface.co/datasets/SHARProduction/production-brief-taxonomy.support-agent-prod-2026-08-25
support-agent-prod / 2026-08-25
Production support-agent traces, graded. Analyzer regime TRAIN.
Agent rollouts exported from ZeroProof for support-agent. Each row is one rollout: the prompt, the tool trace, the final answer, and the reward the judge gave it.
Split
ZeroProof dataset
Rows
Prompts
Pass rate
Support
Mixed prompts
Pushed
holdout
ds_550a2b3ba46aac2b
32
8
72%
0.78
8
2026-09-14
Load
from datasets import load_dataset
holdout =… See the full description on the dataset page: https://huggingface.co/datasets/jaweiss2305/support-agent-prod-2026-08-25.digikala-gold-products-fa
Digikala Gold Products (Persian)
Gold refers to the product domain; annotations are AI-generated and coordinator-reviewed, not a fully human-labeled gold standard.
Version auryx-radar-gold/2.1 contains 7,763 marketplace products with
structured source facts and evidenced semantic annotations. It covers jewelry,
gold bars, coins and melted gold from eight Digikala listing categories. All labels
remain teacher_only, with null human review. Exact model versions are unavailable… See the full description on the dataset page: https://huggingface.co/datasets/amupouya/digikala-gold-products-fa.production-ai-observability-20260909-dataset
Production AI Observability Monitor Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Production AI teams need trace-level signals for latency, token growth, tool failures, and low-quality outputs.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/production-ai-observability-20260909-dataset.product-management-sft-100k
Product Management SFT (100K)
100,000 ShareGPT conversations demonstrating expert-level product management across PRD writing, feature prioritization, OKR setting, roadmap planning, user research, competitive analysis, and stakeholder communication.
Motivation
AI assistants for product management commonly fail by:
Generic frameworks without application: Explaining RICE scoring without actually scoring the user's features; describing OKRs without writing them… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/product-management-sft-100k.product-catalog-questions
Lamini Product Catalog QA Dataset
Description
This dataset contains questions about products and their corresonding product information like product id, product name, product description, etc. This questions catalog has been built on top of open-source product catalog from kaggle.
Format
The questions and product information are in the form of jsonlines file.
Data Pipeline Code
The entire data pipeline used to create this dataset is open source at:… See the full description on the dataset page: https://huggingface.co/datasets/lamini/product-catalog-questions.tanpo-product-sft
Tanpo Product SFT (10k)
Ownership
Owner: DarkNinja Solutions
Creator: d4rkninja
Community: DarkLab
Domain
Product strategy and CEO-level product thinking: roadmap, prioritization, discovery, specs, metrics, and product-market fit.
Dataset summary
Field
Value
Rows
10000
Schema
Chat SFT (messages with system / user / assistant)
Source file
tanpo-product-sft-10k-format-fixed.jsonl
Audit verdict
PASS
Empty assistant… See the full description on the dataset page: https://huggingface.co/datasets/d4rkninja/tanpo-product-sft.production-reference-corpora
SHAR Production Reference Corpora
Ten distinct bilingual synthetic reference corpora with 240 records by SHAR Production — https://sharprod.com/
Records are CC BY 4.0. Code and documentation are MIT. All examples are synthetic and exclude client data and direct contacts. Related variants share one split group to prevent train/evaluation leakage. Codex assisted implementation and validation; SHAR Production is the accountable publisher.
autotune_efx2_god_producer_dataset
Antares Auto-Tune EFX 2 — God Level Producer Dataset (12k)
The ultimate dataset for training an LLM to become a god-level music producer specializing in Antares Auto-Tune EFX 2.
This 12,000-example high-density dataset teaches an LLM to master:
Vocal Sound Fixing (transparent pitch correction)
Creative Effects (formant shifting, throat modeling, vibrato sculpting)
Advanced Editing (automation, double-tracking simulation, harmonic generation)
Mixing Integration (placement in… See the full description on the dataset page: https://huggingface.co/datasets/11-47/autotune_efx2_god_producer_dataset.synthetic-product-recommendation-examples
Synthetic Product Recommendation Examples
An entirely synthetic bilingual dataset of ecommerce discovery queries paired with candidate products and graded relevance judgments. It is designed for educational retrieval, reranking, and recommendation experiments and contains no private catalog, merchant, customer, behavioral, or transaction data.
Dataset Description
The dataset contains twenty English and French queries with ten candidates per query. It complements… See the full description on the dataset page: https://huggingface.co/datasets/neurocheckout-ai/synthetic-product-recommendation-examples.saas-product-support-sharegpt-1k
SaaS/Tech Product Support — Multi-Turn SFT Dataset
A domain-specific supervised fine-tuning dataset for
SaaS and tech product support conversations, built for
LLM fine-tuning and instruction tuning.
Dataset Summary
This dataset contains 1,200 multi-turn English conversations
between a customer and a support agent, covering common
SaaS/tech support scenarios: bug reports, billing issues,
API errors, authentication problems, onboarding blockers,
integration failures… See the full description on the dataset page: https://huggingface.co/datasets/Dang-DN-VN/saas-product-support-sharegpt-1k.shopify-store-products-scraper
Shopify Store Scraper
Scrape products, prices, discounts, variants and stock from any Shopify store's public product JSON. No login, no API key, no headless browser.
Rows in this dataset
11,720
Fields
33
Collector runs behind it
72
Most recent observation
2026-08-04
Browsable presentation
https://reapx.dev/data/shopify-store-products-scraper/ — 1,271 entity pages
Run the collector yourself
https://apify.com/reapx/shopify-store-products-scraper… See the full description on the dataset page: https://huggingface.co/datasets/reapxdev/shopify-store-products-scraper.agri_sft_prod_56kproduction-ai-observability-20260830-dataset
Production AI Observability Monitor Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Production AI teams need trace-level signals for latency, token growth, tool failures, and low-quality outputs.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/production-ai-observability-20260830-dataset.production-evidence-records
SHAR Production Evidence Records
Twenty-five bilingual machine-readable production evidence record contracts and clearly synthetic valid examples by SHAR Production.
The collection covers approvals, rights, permits, technical reports, quality control, localization, delivery, archive, provenance, supplier review, incidents and final release gates. synthetic-examples.jsonl contains invented records only. It contains no client, talent, supplier or project data.
Dataset and… See the full description on the dataset page: https://huggingface.co/datasets/SHARProduction/production-evidence-records.god_level_music_producer_dataset
God-Level Music Producer Dataset
The most advanced open dataset for training LLMs to become elite music producers across Rap, Crunk, East Coast Boom Bap, West Coast G-Funk, and Dubstep.
This dataset contains 9,941 high-quality examples (with plans for expansion) of god-level reasoning and practical workflows in:
Beat Creation (full arrangement from scratch)
Virtual Instrument Mastery (Serum, Massive X, Omnisphere, Kontakt, etc.)
Plugin Expertise (Auto-Tune, iZotope Ozone/RX… See the full description on the dataset page: https://huggingface.co/datasets/11-47/god_level_music_producer_dataset.