datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cmevs-erp-eval
CM-EVS: A Coverage-Curated Panoramic RGB-D Dataset for Indoor Scene Understanding
CM-EVS is a curated panoramic RGB-D dataset built under a single principle: maximize the geometric coverage of a 3D scene with the fewest equirectangular (ERP) frames possible. The release is structured as one redistributable Blender indoor data archive plus four license-aware adapter packages that regenerate matched frames locally from upstream sources whose terms forbid redistribution.
v1.0… See the full description on the dataset page: https://huggingface.co/datasets/anon-cmevs-2026/cmevs-erp-eval.ERP-FRONT-30Kerp-and-eroticaMirror of ERP/RP and erotica raw data collection (Edit: 07 Jan 2025 16:09 UTC)
(No new data after 04 Jan 2024 12:01 UTC).
carla-ue5-native-erp-2048x1024-5m-track-100kerp-bench
ERP-Bench
ERP-Bench is the Odoo 19 benchmark used in the Anchor paper, "Preventing Artifact Drift in Agent Benchmark Generation." It contains 300 long-horizon procurement and manufacturing tasks generated from a single solved specification.
Anchor's central claim is that benchmark tasks should not be hand-assembled from separate instructions, environments, oracle solutions, and verifiers. In this repo, each task is compiled from one CP-SAT-backed procurement specification into:… See the full description on the dataset page: https://huggingface.co/datasets/anonymouse321/erp-bench.ERP-FRONT-30Kenterprise_erp_workflow_reasoning
Enterprise ERP Workflow Reasoning
Author: Venkata Ramachandra Karthik Chundi (venkatakarthikchundi@gmail.com)
A multiple-choice benchmark testing LLM reasoning on enterprise ERP business process workflows, approval hierarchies, document relationships, and process sequencing. Scenarios are drawn from real-world Oracle ERP Cloud deployment contexts.
Dataset
50 multiple-choice questions with 4 answer options each. One correct answer per question.
Modules Covered… See the full description on the dataset page: https://huggingface.co/datasets/karthikchundi/enterprise_erp_workflow_reasoning.erpbench-100
ERPBench-100
ERPBench-100 is a 100-task, deterministic ERP agent benchmark over ten synthetic Oracle-Fusion-shaped tenants. It tests customer order import, shipment verification, receipt application and collections, reorder monitoring and requisitions, receiving and three-way match, worker document compliance, shift work-report rollups, channel-order sync, hiring against approved headcount, and effective-dated price batches — each executed end to end across the ERP, mailbox… See the full description on the dataset page: https://huggingface.co/datasets/SamuelChien821/erpbench-100.ERP-FRONT-30Knsfw-writing-promptserpbench-distribution
ERPBench Distribution
An execution-graded text-to-T-SQL benchmark for wholesale distribution ERP. Every gold query has been verified by double execution against a live SQL Server 2022 instance, and the grading harness that produced our published numbers ships in this repo, so results are reproducible from a clean checkout.
Most text-to-SQL benchmarks grade string similarity or run against toy schemas. Real ERP work means 60-table schemas, money columns, date arithmetic… See the full description on the dataset page: https://huggingface.co/datasets/Lumina-ERP/erpbench-distribution.erp-and-eroticaMirror of ERP/RP and erotica raw data collection (Edit: 07 Jan 2025 16:09 UTC)
(No new data after 04 Jan 2024 12:01 UTC).
erpnext-docsswebench-erpnext-20250715swebench-erpnext-20250714swebench-erpnext-20250710ERP-RP-EVISCERATED-PATCHERThis is a small dataset with some of the RP/RP and Math problems.
I am wanting another domain (In this case, math problems) to help patch my scooped (I.E EVISCERATED) models.
saas-erp-support-ru-train-v13
Capstone support: F training shards
Train-only synthetic Russian SaaS / fictional ERP / telecom scenarios:
430 dialogues, 1113 target turns, 13 local JSONL shards. No real company or customer data.
No validation/test split is published here. Files preserve project-relative paths
under data/quality90_v1/train; restore those paths in a checkout to reuse them.
Each dialogue contains context and turn-level target labels/replies. The exact
file list and SHA-256 hashes are in… See the full description on the dataset page: https://huggingface.co/datasets/AkanaYB/saas-erp-support-ru-train-v13.erpnext-tasks
ERPNext Tasks
An evaluation dataset for web agents operating on a self-hosted ERPNext instance. Each row contains a task goal, a configuration dict with a SQL validation query, and a standalone Python validation function that scores agent performance by querying the ERPNext database.
Dataset overview
207 samples across 82 task categories
A single shared validator queries a SQL endpoint to verify outcomes
Domain
Categories
Samples
Examples
User… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow-AI/erpnext-tasks.swebench-erpnextDeepseek-R1-ERP-DatasetDataset ERP dataset generated from deepseek R1. This was a bit intensive. I write a python scrip that would generate a random plot, the ERP theme of which was chosing at random from about 20 different types of themes (One of the more tame ones, for example, "Romance Erotica"). I would then guide the inference by using the "user" role to switch perspectives between the two characters, and continue the story.
I then wrote another script that used deepseek-cat to fix the reasoning portions.… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Deepseek-R1-ERP-Dataset.Deepseek-R1-ERP-REASONING-DatasetDataset ERP dataset generated from deepseek R1. This was a bit intensive. I write a python scrip that would generate a random plot, the ERP theme of which was chosing at random from about 20 different types of themes (One of the more tame ones, for example, "Romance Erotica"). I would then guide the inference by using the "user" role to switch perspectives between the two characters, and continue the story.
I then wrote another script that used deepseek-cat to fix the reasoning portions. Since… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Deepseek-R1-ERP-REASONING-Dataset.Deepseek-R1-Reasoning-ERP-Limiter-TestThis is an experiment. For RP, sometimes the thinking that Deepseek and others do are a bit much. Since I Now have a rather large (ish) deepseek R1 dataset. I made a python script to count the number of words from the reasoning, round up to the nearest 50 (So if the number was 416, this would be set to 450), and then add some text in the system prompt and the reasoning.
My goal is to easily, via a system prompt, be able to control the size/amount of tokens from thinking.
erp-gpt-eu
ERP-GPT-EU
This repository includes the data and code needed to deploy ERP-GPT-EU, a tool-augmented GPT for querying and interpreting high-resolution European soil data.
ERP-GPT-EU combines geographic resolution based on European GADM administrative regions with soil data access from the LUCAS-MEGA fused dataset. It can resolve user-specified places or coordinates, retrieve relevant soil properties, and generate soil data outputs through an API server. The GPT is designed for users… See the full description on the dataset page: https://huggingface.co/datasets/earthroverprogram/erp-gpt-eu.Claude-Deepseek-R1-ERP-RP-REASONING-AND-NONREASONING-DatasetERPSyntheticApplicantDataastron-spherope-11-surreal-erp
Astron SpheRoPE — 11 Surreal ERP Worlds
Image–text pairs: 11 equirectangular 360° panoramas (1024×512), generated on Shadow Tech PC with SpheRoPE + FLUX.1-dev.
Each row in metadata.jsonl:
file_name — path under images/
text — full generation prompt (caption)
title — human label
id — stable slug
Usage
from datasets import load_dataset
ds = load_dataset("TheMindExpansionNetwork/astron-spherope-11-surreal-erp", split="train")
Citation
Shadow Tech PC… See the full description on the dataset page: https://huggingface.co/datasets/TheMindExpansionNetwork/astron-spherope-11-surreal-erp.ER-PRM-Datalima-erp
长对话数据的拷贝，使用google翻译了部分数据
数据格式符合llama-factory
erpqa