Indian Fashion Apparel Product Data for Instruction Tuning, 125,000 Entries

Indian Fashion & Apparel Product Data — Instruction Tuning Dataset is a large-scale collection for fine-tuning large language models. It covers 25 Indian fashion and apparel categories with 5,000 records per category, totaling 125,000 entries. The dataset was created by author tkdonda and was last updated on Hugging Face in May 2026.

Use Cases

• Fine-tune LLMs to generate product descriptions based on the dataset's fashion and apparel categories.
• Train models to extract product attributes from the provided Indian fashion product records.
• Create SEO-optimized titles for e-commerce listings using the instruction-tuning format.
• Power AI-driven e-commerce tools for Indian fashion platforms based on the structured product data.

Strengths

• Contains 125,000 total entries, providing a substantial corpus for model training.
• Covers 25 distinct Indian fashion and apparel categories, suggesting breadth in product types.
• Explicitly designed for instruction tuning, indicating a structured format for NLP tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

tkdonda on Hugging Face

Freshness

Last updated 2026-05-14 03:39:29; freshness should be verified.

Geography

India