datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IT_Support_V2
Mack: IT Support & Admin Dataset
📋 Dataset Description
This dataset consists of 100,000+ conversation logs focused on IT Support and IT Administration tasks. It was generated to fine-tune the "Mack" model—an AI persona designed to act as an expert Tier 1 & Tier 2 IT Helpdesk agent.
The data covers a wide range of technical domains, including Windows troubleshooting, SQL Server administration, driver issues, network diagnostics, and hardware debugging.
Curated by: [Dev… See the full description on the dataset page: https://huggingface.co/datasets/benjaminmacklin/IT_Support_V2.amazon-customer-support
Amazon Customer Support
Derived from the TWCS corpus (Kaggle: thoughtvector/customer-support-on-twitter), this dataset
contains 200 labelled customer-support interactions for evaluation / fine-tuning purposes.
Schema
Each line is a JSON object with four fields:
Field
Type
Description
query
string
The customer's raw message (input)
action
string
Agent action taken — resolve or escalated_to_human
intent
string
Classified intent — complaint, question… See the full description on the dataset page: https://huggingface.co/datasets/iam-tsr/amazon-customer-support.arabic-rag-support-25K
Arabic RAG customer-support scenarios (27,927 rows)
Synthetic Modern Standard Arabic customer-support scenarios for training small
RAG answerers, distilled from unsloth/gemma-4-31B-it-NVFP4 on a local vLLM.
Built as the training set for oddadmix/Nawah-50M-RAG-Support.
Each row: a customer question + the knowledge-base chunks of one fictional
company (products, prices, policies, FAQ entries) + the ideal grounded agent
answer. One generation request invents one company KB and 4 QA… See the full description on the dataset page: https://huggingface.co/datasets/oddadmix/arabic-rag-support-25K.live-face-swap-support-qa
LiveFaceSwap AI Public Support Q&A
This dataset contains English question and answer pairs from the public LiveFaceSwap AI browser, desktop, and pricing FAQs, captured on 2026-09-17. Each row records its source page. The official website is the current source for product behavior and pricing; this snapshot can become outdated.
It is suitable for evaluating or prototyping retrieval over LiveFaceSwap AI product support content. It is not a face image dataset, a face swap training… See the full description on the dataset page: https://huggingface.co/datasets/LiveFaceSwapAI/live-face-swap-support-qa.it-support-l1-ticket-classification
IT Support L1 Multilingual Dataset
Dataset Summary
IT Support L1 Multilingual Dataset is a synthetic enterprise help desk dataset for ticket classification and troubleshooting response generation. It contains realistic Level 1 IT support scenarios in English and Czech, designed for experiments in structured classification, response generation, and multilingual support workflow prototyping.
This dataset contains synthetic IT Support L1 scenarios. The records were generated… See the full description on the dataset page: https://huggingface.co/datasets/w1z4rd3k/it-support-l1-ticket-classification.MentalHealth-Support
Important Note
This dataset is created from merging two datasets from different sources and has been formatted according to the "messages", "role", "content" chat format. I do not claim any ownership of this dataset.
Keep in mind that this dataset is entirely synthetic. It is not fully representative of real therapy situations. If you are training an LLM therapist keep in mind the limitations of LLMs and highlight those limitations to users in a responsible manner.
Since Mental… See the full description on the dataset page: https://huggingface.co/datasets/ShivomH/MentalHealth-Support.kazakh-customer-support-qa
Dataset Card for kazakh-customer-support-qa
Maintained by: Mäñgi ÜTM (mangi-llm)
Dataset Summary
kazakh-customer-support-qa is a small, hand-curated question–answer dataset in the Kazakh language, built to represent realistic customer-support conversations across several industries (banking, telecom, retail/service centers, sales, and general support). Each record pairs a short customer question with a concise, policy-safe answer, and many answers include… See the full description on the dataset page: https://huggingface.co/datasets/mangi-llm/kazakh-customer-support-qa.synth-customer-support-expanded-R
Expanded E-Commerce & Subscription Customer Support Dataset
Dataset Summary
This high-quality synthetic dataset contains 438 realistic customer support interactions focused on e-commerce, shipping, delivery, and subscription management. It was created to provide edge-case scenarios and varied support policies (like Hazmat battery returns, subscription cancellations, tracking loops, and incorrect SKU deliveries).
This dataset is ideal for Supervised Fine-Tuning (SFT) or… See the full description on the dataset page: https://huggingface.co/datasets/KazKozDev/synth-customer-support-expanded-R.customer-support-synth-quickdemo
expanded_E-commerce_and_SaaS_customer_support_(orders,_shipping,_billing,_subscriptions,_app_troubleshooting)
Synthetic customer-support dataset generated with synth-dataset-kit.
What Is Included
train.jsonl: training split in JSONL chat format
eval_summary.json: minimal evaluation and generation summary
expanded_E-commerce_and_SaaS_customer_support_(orders,_shipping,_billing,_subscriptions,_app_troubleshooting)_quality_report.html: visual quality report… See the full description on the dataset page: https://huggingface.co/datasets/Enkiboy/customer-support-synth-quickdemo.customer_supportNAITS_LFQA_with_supports_v2
NAITS_LFQA_with_supports_v2
Dataset Description
NAITS_LFQA_with_supports_v2 is a bilingual Arabic-English dataset designed for Long-Form Question Answering (LFQA) and Retrieval-Augmented Generation (RAG) research.
The dataset contains 102 manually curated samples. Each sample consists of:
A question in Arabic and English.
A long-form answer in Arabic and English.
Supporting passages in Arabic and English from which the answer can be derived.
A reference field… See the full description on the dataset page: https://huggingface.co/datasets/fahdsoliman/NAITS_LFQA_with_supports_v2.