Synthetic Multi-Label E-Commerce Complaints Dataset (SMLEC-1)
$49
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usd
Trausti
Instant digital download. No real customer data used.
A synthetic, high-quality 10,000-row multi-label e-commerce complaint dataset in JSONL format.
Includes sentiment, urgency, primary/secondary issues, product category, toxicity score,
refund/escalation flags, channels, and timestamps. Perfect for NLP training and model evaluation.
A clean 10,000-row synthetic e-commerce complaint dataset for NLP, classification, and model training. JSONL format.
File format: JSONL. compatible with Python, Pandas, HuggingFace, and all major ML frameworks.
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