datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CRMArenaPro
Dataset Card for CRMArena-Pro
Dataset Description
Paper Information
Citation
Dataset Description
CRMArena-Pro is a benchmark for evaluating LLM agents' ability to perform real-world work tasks in realistic environment. It expands on CRMArena with nineteen expert-validated tasks across sales, service, and "configure, price, and quote" (CPQ) processes, for both Business-to-Business (B2B) and Business-to-Customer (B2C) scenarios. CRMArena-Pro distinctively incorporates… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/CRMArenaPro.CRMArena
Dataset Card for CRMArena
Dataset Description
Paper Information
Citation
Dataset Description
CRMArena is a benchmark for evaluating LLM agents' ability to perform real-world work tasks in realistic environment. This benchmark is introduced in the paper "CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments". We include 16 commonly-used industrial objects (e.g., account, order, knowledge article, case) with… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/CRMArena.arc-crm-6
Blobfish Arc CRM 6 · 0.1.2
Six independently authored synthetic CRM workflows with 31 domain/evidence tools
on three mock servers, two engine controls, and 33 synthetic PDF/XLSX/EML assets.
Each episode shares one stateful world across CLI, real HTML forms, REST and MCP.
Scope and results
All six frozen reference solutions pass local Docker execution with strict score
100 and exact final-state/trace parity. All 167 authoring negative controls reject.
These are… See the full description on the dataset page: https://huggingface.co/datasets/SamuelChien821/arc-crm-6.huggingface_4691_crm_marketing_campaigns
Marketing Campaigns
Snapshot of GLOBAL data.
zarn-crm-note-to-followup-messages
Zarn CRM Note to Followup Messages
Dataset Description
High-context CRM notes transformed into personalized follow-up emails, DMs, and next-step nudges with factual preservation checks.
Team Attribution
This dataset was created and reviewed by the Zarnite team through internal benchmark design, generation, and quality-control workflows. It should be presented as a Zarnite-authored benchmark starter pack, not as a purely human-collected field corpus.… See the full description on the dataset page: https://huggingface.co/datasets/zarnite/zarn-crm-note-to-followup-messages.lex_crminal_lawhuggingface_4691_crm_customers_us
Customer Profiles US
Snapshot of US data.
huggingface_4691_crm_products
Product Catalog
Snapshot of GLOBAL data.
huggingface_4691_crm_orderscrm_function_calling_datasethuggingface_4691_crm_customers_eu
Customer Profiles EU
Snapshot of EU data.
crm-cleaning-dataset-v1malayster-crm
Malayster CRM Code + Docs Dataset
Combined dataset from two open-source CRM repositories:
/tmp/ai-crm-agents
/tmp/django-crm
Each example is a user request to implement a function/class or explain a concept, with assistant providing source code or explanation.
System prompt prepended to user turn: Yes
System prompt: Anda adalah Malayster, AI agent yang pakar dalam projek Ammar Jewels (Nuxt 4 + Drizzle/Turso). Jawab dalam Bahasa Malaysia kecuali diminta autrement.
Format:… See the full description on the dataset page: https://huggingface.co/datasets/syaher/malayster-crm.crm_function_calling_datasetvulnerability_detection__explainabilityCRMArenaPro
Dataset Card for CRMArena-Pro
Dataset Description
Paper Information
Citation
Dataset Description
CRMArena-Pro is a benchmark for evaluating LLM agents' ability to perform real-world work tasks in realistic environment. It expands on CRMArena with nineteen expert-validated tasks across sales, service, and "configure, price, and quote" (CPQ) processes, for both Business-to-Business (B2B) and Business-to-Customer (B2C) scenarios. CRMArena-Pro distinctively… See the full description on the dataset page: https://huggingface.co/datasets/pinkpig97/CRMArenaPro.Crmcrm-dpo-dataset
AmoRe CRM DPO Dataset
이 데이터셋은 CRM 메시지 생성 모델을 위한 Direct Preference Optimization (DPO) 학습용 선호 데이터셋입니다.
각 샘플은 동일한 프롬프트에 대해 더 나은 응답(chosen) 과 덜 나은 응답(rejected) 의 쌍으로 구성되어 있습니다.
📌 Dataset Structure
각 샘플은 다음 JSON 형식을 따릅니다:
{
"prompt": "<사용자 상황 / 페르소나 / 목표>",
"chosen": "<더 적합한 CRM 메시지>",
"rejected": "<덜 적합한 CRM 메시지>",
"best_index": "<더 적합한 CRM 인덱스>",
"rejected_index": "<덜 적합한 CRM 인덱스>",
"reason_best": "<더 적합한 이유>",
"reason_rejected": "<덜 적합한 이유>"
}
prompt: 사용자… See the full description on the dataset page: https://huggingface.co/datasets/jinn33/crm-dpo-dataset.join_crm_202607130926258306Crmholiday-crm-insights