datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ecom-niverse
Ecom-niverse
What is Ecom-niverse
We construct a comprehensive e-commerce tokens dataset by refining a broad web dataset to isolate content with retail or shopping context. This curated corpus is intended for continual pre-training of LLMs and other Encoder-only models so they better understand product descriptions, prices, and other commerce-related text
Need for E-commerce pre-training Dataset
Generic web-crawled corpora often lack the focused coverage of… See the full description on the dataset page: https://huggingface.co/datasets/thebajajra/Ecom-niverse.ai-ecosystem-daily
TensorFeed AI Ecosystem Daily
Daily snapshots of the AI ecosystem: news, model pricing, benchmarks, service status, GPU rental prices, MCP registry growth, LLM endpoint latency probes, agent traffic, and the AFTA adopter directory. Captured once per day from the public tensorfeed.ai API and committed to this repo as JSONL.
Each daily snapshot lives in a YYYY-MM-DD/ subfolder with one JSONL file per feed plus a manifest.json summarizing what was captured.
What's in… See the full description on the dataset page: https://huggingface.co/datasets/tensorfeed/ai-ecosystem-daily.financial-economics-reasoning
Model Card
📌 Summary
financial-economics-reasoning dataset was constructed using advanced Inference Distillation techniques. We employed the qwen-3-235b-a22b-thinking-2507 model as the Teacher Model to process the open-source BAAI/IndustryInstruction_Finance-Economics dataset, which contains 122,378 bilingual (Chinese-English) entries in finance, economics, and business.
Unlike standard distillation datasets that only provide final answers, this dataset retains the… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/financial-economics-reasoning.economist-tui-sessions
Coding agent session traces for thomasmustier/economist-tui-sessions
This dataset contains redacted coding agent session traces collected while working on tmustier/economist-tui. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where each line is a structured… See the full description on the dataset page: https://huggingface.co/datasets/thomasmustier/economist-tui-sessions.p2pclaw-ecosystem-dataset
🧬 P2PCLAW Ecosystem — Complete Training Dataset
638 files. 161 MB. The entire knowledge base of Francisco Angulo de Lafuente (Agnuxo1) and the P2PCLAW decentralized research network.
📊 What's Inside
This dataset contains the complete intellectual output of Francisco Angulo de Lafuente's 35-year research trajectory, packaged for training the next generation of scientific AI models.
Category
Files
Description
Documentation
148
READMEs, technical docs… See the full description on the dataset page: https://huggingface.co/datasets/Agnuxo/p2pclaw-ecosystem-dataset.EconSafeBench
Dataset Card for EconSafeBench
EconSafeBench evaluates the safety of LLM agents in executable economic
environments, testing whether agents violate regulatory, informational,
fairness, or data-use constraints while pursuing an economic objective
under three distinct sources of pressure.
Dataset Details
Dataset Description
EconSafeBench contains 828 cases spanning five executable economic
scenarios and four categories of safety violations. Unlike… See the full description on the dataset page: https://huggingface.co/datasets/Yuzhu0921/EconSafeBench.text-to-ocl-from-ecore
Introduction
This is a small size dataset containing 52 meta-models (EMF files and PlantUML descriptions), 369 OCL constraints and 369 constraint specification in natural language.
The meta-models and OCL constraints are collected from open source github projects and are (syntactically) processable by Eclipse.
The constraint specifications of OCL constraints are generated via GPT-4-Turbo.
The meta-models can be found in models\
Usage
Generation of OCL constraints based on… See the full description on the dataset page: https://huggingface.co/datasets/fpan/text-to-ocl-from-ecore.ecommerce-search-extraction
Ionio E-commerce Search Query Extraction
Built with: simula — schema-driven synthetic data generation with auditable taxonomy lineage.
An English synthetic dataset for training and evaluating systems that translate natural-language
shopping requests into narrow, atomic, database-queryable JSON. It contains 10,985 accepted
examples from a 13,000-attempt generation run. No accepted rows were trimmed from this release.
Each example pairs a realistic typed or spoken shopper query… See the full description on the dataset page: https://huggingface.co/datasets/Ionio-ai/ecommerce-search-extraction.text-to-xmi-from-ecoreThis is a small test set for XMI instance model generation task.
It containing 26 pairs of meta-models (Ecore), specifications (natural language) and instance models (XMI).
In each pair, the meta-model and instance model share the same name. To proper open the instance model in Eclipse EMF, the instance model and meta-model should be placed in the same folder.
The meta-models are selected from https://huggingface.co/datasets/fpan/text-to-ocl-from-ecore.
The specifications are generated via… See the full description on the dataset page: https://huggingface.co/datasets/fpan/text-to-xmi-from-ecore.Sora-Ecommerce-Guide
Sora Ecommerce Guide Dataset
This dataset contains comprehensive documentation, user guides, admin operating procedures, and system flow architectures for the Sora Ecommerce platform, structured in flat instruction/input/output format matching standard fine-tuning benchmarks.
Splits
train: 9 samples
test: 2 samples
Features
instruction: System/task instruction context.
input: The prompt, question, or user query.
output: Complete step-by-step… See the full description on the dataset page: https://huggingface.co/datasets/HeinKoZin/Sora-Ecommerce-Guide.ecoai-sft
FindExpert.ir ecoAI SFT (writer later)
Instruction rows (messages) for a future LoRA on Qwen/Qwen2.5-0.5B-Instruct.
Product writing is still retrieve-then-generate. Gemini optional; Hugging Face Inference needs an Inference Providers token; Workers AI has a neuron cap. These JSONL rows are not trained weights. Do not train 8B/14B on a free Space.
Each example: system + user (section, title, retrieved sources) + assistant draft. That is retrieve-then-generate, not… See the full description on the dataset page: https://huggingface.co/datasets/sosa123454321/ecoai-sft.ecocoder-scientific-reasoning
ecocoder-scientific-reasoning
Chain-of-Thought (CoT) traces for fine-tuning LLMs on ecological scientific reasoning + code generation.
Each trace follows: [CONTEXT] (ecological problem) → [REASONING] (step-by-step scientific thinking) → [CODE] (runnable R/Python implementation).
Dataset Summary
Split
Traces
Train
1,268
Val
159
Test
159
Total
1,586
73 unique ecological methods across 18 categories
Languages: ~60% R, ~40% Python… See the full description on the dataset page: https://huggingface.co/datasets/alrobles/ecocoder-scientific-reasoning.sea-ecommerce-customer-support-sample
SEA Multilingual E-commerce Customer Support Sample
This public sample contains 1,000 synthetic, AI-generated customer-support
conversations for Southeast Asian e-commerce scenarios.
Languages
English
Chinese
Malay
Indonesian
Formats
CSV
JSONL
Intended Use
Use this sample for inspection, evaluation, prototyping, multilingual testing,
and intent-classification experiments.
Important Limitations
This is synthetic… See the full description on the dataset page: https://huggingface.co/datasets/nwchang/sea-ecommerce-customer-support-sample.stata-econ-bench
Stata Econometrics Benchmark
250 natural-language econometrics & statistics tasks, each solvable with a short Stata program and graded by executing the generated code against 1250 hidden numeric test cases (5 per problem). This is an execution-based benchmark: a solution is correct only if running it reproduces the expected numeric result within a per-case tolerance — not by string match.
At a glance
250 problems, 1250 test cases (5 per problem)
Target language:… See the full description on the dataset page: https://huggingface.co/datasets/eltokh7/stata-econ-bench.nemotron-eco-reasoner-v14
Nemotron Eco Reasoner — Dataset v14
Training dataset (9,686 records) for a LoRA adapter on
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16, built for the NVIDIA Nemotron Model
Reasoning Challenge.
Each record is a chat-format example: a system prompt, a user puzzle, and an
assistant response ending in </think> then \boxed{<answer>}.
What is new in v14
v14 keeps the exact per-category composition of the best prior dataset (v8,
the 0.67-Kaggle record) but replaces the… See the full description on the dataset page: https://huggingface.co/datasets/alrobles/nemotron-eco-reasoner-v14.instruct-economics-pashto
Instruct Economics Pashto
This dataset contains Pashto translations of high‑quality economics instruction datasets.It is designed for fine‑tuning conversational Large Language Models (LLMs) on advanced economic reasoning, welfare theory, micro/macro analysis, and policy evaluation — all in the Pashto language.
دا ډیټاسیټ د اقتصاد د لوړو مفاهیمو، هوساینې تیورۍ، مایکرو او ماکرو اقتصاد، او د ټولنیزو پالیسیو د تحلیل لپاره د لارښوونې ډیالوګونو پښتو ژباړې لري. دا د Pashto ژبې لپاره د… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/instruct-economics-pashto.Devanagari-Ecommerce-fomatted-for-llama2-chat-Dataset
Dataset Card for Dataset Name
यो देवनागरी नेपाली भाषाको डेटासेट विशेषगरी च्याटबोट प्रणालीहरू बनाउनको लागि डिजाइन गरिएको हो। यसमा विभिन्न श्रेणीहरूको डेटासेटहरू समावेश गरिएको छ, जसलाई JSON मा ढाँचा बनाईएको छ, जसले नेपाली वार्तालाप एआई अनुप्रयोगहरूको लागि भाषा मोडेलहरूलाई तालिम र फाइन-ट्यून गर्नको लागि व्यापक स्रोत प्रदान गर्दछ।
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/kshitizgajurel/Devanagari-Ecommerce-fomatted-for-llama2-chat-Dataset.JKL-DYLANJKL-ECOSYSTEM-EcoportV4-ToolCall-Dataset
🛠️ Ecoport MCP Tool-Call Dataset
A structured tool-use training dataset for AI-driven Roblox Studio automation via the proprietary EcoPort MCP server.
📋 Overview
This dataset contains 210 high-quality, synthetic tool-use examples covering the complete surface area of the Ecoport MCP Server server — a Model Context Protocol bridge that connects AI assistants to Roblox Studio and Roblox Open Cloud APIs.
Each example teaches an AI model how to:
Parse a natural… See the full description on the dataset page: https://huggingface.co/datasets/dylanjkl/JKL-DYLANJKL-ECOSYSTEM-EcoportV4-ToolCall-Dataset.asotele-eval-nigerian-economy
Asotele Eval — Nigerian Economic Reasoning (v1)
A small, hand-curated rubric-graded evaluation set for measuring whether a language model can reason about the Nigerian economy the way an experienced Nigerian credit officer, SME owner, or independent analyst would.
This is v1 (seed), intentionally small. Each record is dense, with citations the model must use, omissions that lose points, a reference answer, and a per-record scoring rubric. The goal is to surface qualitative reasoning… See the full description on the dataset page: https://huggingface.co/datasets/Apexgridapps/asotele-eval-nigerian-economy.Devanagari-Ecommerce-Dataset
Dataset Card for Dataset Name
यो देवनागरी नेपाली भाषाको डेटासेट विशेषगरी च्याटबोट प्रणालीहरू बनाउनको लागि डिजाइन गरिएको हो। यसमा विभिन्न श्रेणीहरूको डेटासेटहरू समावेश गरिएको छ, जसलाई JSON मा ढाँचा बनाईएको छ, जसले नेपाली वार्तालाप एआई अनुप्रयोगहरूको लागि भाषा मोडेलहरूलाई तालिम र फाइन-ट्यून गर्नको लागि व्यापक स्रोत प्रदान गर्दछ।
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Prepared by:
Aakash… See the full description on the dataset page: https://huggingface.co/datasets/kshitizgajurel/Devanagari-Ecommerce-Dataset.sea-ecommerce-customer-support-sample
SEA Multilingual E-commerce Customer Support Sample
This public sample contains 1,000 synthetic, AI-generated customer-support
conversations for Southeast Asian e-commerce scenarios.
Languages
English
Chinese
Malay
Indonesian
Formats
CSV
JSONL
Intended Use
Use this sample for inspection, evaluation, prototyping, multilingual testing,
and intent-classification experiments.
Important Limitations
This is synthetic… See the full description on the dataset page: https://huggingface.co/datasets/dinesshxryu/sea-ecommerce-customer-support-sample.ecommerce-production-incident-postmortems
Autonomous E-Commerce Production Incident Post-Mortems (NexusOS v2.0)
Dataset Summary
This repository contains high-fidelity, meticulously graded post-mortem diagnostic samples mapping real-world infrastructure failures in e-commerce ecosystems (WordPress, WooCommerce, and core transaction layers) directly to expert root-cause analyses and isolated code execution patches.
The data is structured into optimized binary Parquet formats, making it immediately ready for… See the full description on the dataset page: https://huggingface.co/datasets/Amman-shah/ecommerce-production-incident-postmortems.ecommerce-product-descriptions-v1
E-Commerce Product Descriptions Dataset
This dataset contains 150 high-quality synthetic product descriptions across multiple e-commerce categories including earbuds, smartwatches, and laptops.
Dataset Structure
Each entry follows the Alpaca-style instruction format:
: Task description
cmd: Failure calling service input: Failed transaction (2147483646): Context/brand features
: Generated product description
: Product category
: Uniqueness ratio (0.7 - 0.99)… See the full description on the dataset page: https://huggingface.co/datasets/Rahul5262/ecommerce-product-descriptions-v1.ecosilkPashto-Economics-Reasoning-SFT
Pashto Economics Reasoning SFT (پښتو اقتصادي استدلال ډیټا سیټ)
Welcome to the Pashto Economics Reasoning SFT dataset. This is a specialized, high-quality Supervised Fine-Tuning (SFT) dataset designed to empower Large Language Models (LLMs) with advanced Chain-of-Thought (CoT) logical reasoning capabilities in the Pashto language, specifically tailored around economics, finance, trade, and market analysis within regional and global contexts.
📊 Dataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/Pashto-Economics-Reasoning-SFT.