Datasets:

ariazevedo
/

LusoSupport-PT

language:
  - pt
license: cc-by-4.0
task_categories:
  - text-generation
  - text-classification
  - question-answering
task_ids:
  - dialogue-modeling
  - intent-classification
pretty_name: LusoSupport-PT Lite
size_categories:
  - n<1K
tags:
  - customer-support
  - portuguese
  - pt-PT
  - european-portuguese
  - instruction-tuning
  - conversational-ai
  - chatbot
  - helpdesk
  - llm
  - sft
  - alpaca
  - fine-tuning
  - synthetic

LusoSupport-PT Lite

🇵🇹 The only purpose-built European Portuguese (pt-PT) customer support instruction dataset — verified against the Hugging Face Hub, no direct competitor found.

LusoSupport-PT is a structured European Portuguese (pt-PT) customer support instruction dataset for LLM fine-tuning, prompting experiments, and support automation.

This Lite version contains 200 curated rows — a representative free sample covering all 8 domains, 8 task types, and all 18 customer intents.

The full dataset (10 828 rows) is available for purchase on Gumroad — see pricing below.

🔥 Early Adopter Pricing: the first 50 buyers on each tier lock in the launch price. After that, prices rise to €79 / €329.

Why pt-PT?

Most publicly available Portuguese NLP datasets are either broad generic corpora, academic benchmarks, or heavily oriented toward Brazilian Portuguese (pt-BR). LusoSupport-PT fills the gap: a clean, structured instruction dataset that uses European Portuguese vocabulary and register throughout.

✅ palavra-passe (not senha)
✅ telemóvel (not celular)
✅ fatura (not nota fiscal)
✅ encomenda for orders

Dataset Structure

Each row contains:

Field	Type	Description
`id`	string	`lusosupport_pt_NNNNNN`
`language`	string	Always `"pt"`
`variant`	string	Always `"pt-PT"`
`domain`	string	One of 8 business domains
`subdomain`	string	Specific sub-area within domain
`task_type`	string	One of 8 task types
`customer_intent`	string	One of 18 customer intents
`customer_tone`	string	Tone of the customer message
`agent_tone`	string	Target tone for the agent response
`channel`	string	`email`, `chat`, `web_form`, `phone_transcript`
`difficulty`	string	`easy`, `medium`, `hard`
`instruction`	string	System-level task instruction (pt-PT)
`input`	string	Customer message prefixed with `"Mensagem do cliente:"`
`output`	string	Model target: agent response or classification
`metadata`	object	`requires_escalation`, `contains_pii`, `synthetic`, `source_type`

Domains

ecommerce · subscriptions · saas · telecom · utilities · travel · marketplace · billing_accounts

Task Types

Task Type	Description
`response_generation`	Write a support reply to a customer
`email_reply`	Draft a formal email response
`summarization`	Summarise a customer interaction
`intent_classification`	Classify intent, urgency, domain (JSON output)
`urgency_classification`	Rate urgency and recommend escalation (JSON output)
`rewrite_professional`	Rewrite a message in a professional register
`next_action_suggestion`	Recommend the next best action for the agent
`faq_answer`	Answer a frequently asked question

Usage

Load with 🤗 Datasets

from datasets import load_dataset

ds = load_dataset("ariazevedo/LusoSupport-PT", split="train")
print(ds[0])

Fine-tuning (Alpaca format)

The full dataset ships with an Alpaca JSONL export. Convert directly:

import json

with open("lusosupport_pt_lite.jsonl") as f:
    rows = [json.loads(l) for l in f]

alpaca = [
    {"instruction": r["instruction"], "input": r["input"], "output": r["output"]}
    for r in rows
]

Intent classification example

import json

row = ds.filter(lambda r: r["task_type"] == "intent_classification")[0]
print(row["input"])
# → "Mensagem do cliente: A minha encomenda não chegou."

result = json.loads(row["output"])
print(result)
# → {"intent": "order_status", "urgency": "medium", "domain": "ecommerce", "confidence": 0.95}

Pricing

Tier	Price	Rows	Licence
Lite (this dataset)	Free	200	CC BY 4.0
Premium Individual	€59 → €79	10 828	Personal / research / non-commercial
Commercial Licence	€229 → €329	10 828	Commercial use in products & APIs

👉 Buy Individual Licence · Buy Commercial Licence · GitHub Sponsors

Licence

This Lite version is released under CC BY 4.0.
You are free to use, share, and adapt the data — provided you give appropriate credit.

Attribution: LusoSupport-PT by @ariazevedo — https://huggingface.co/datasets/ariazevedo/LusoSupport-PT

The full dataset is sold under separate commercial and personal-use licence agreements available at Gumroad.

Citation

@dataset{lusosupport_pt_2026,
  author    = {ariazevedopt},
  title     = {LusoSupport-PT: European Portuguese Customer Support Instruction Dataset},
  year      = {2026},
  url       = {https://huggingface.co/datasets/ariazevedo/LusoSupport-PT},
  note      = {CC BY 4.0}
}