Datasetpublic

rodriguescarson/adaption-product-advice-shortlist-3k

Product Advice Shortlist A shopper states a colour, occasion and budget; the model picks the one item from a four-item shortlist that meets all three and explains why each other item fails. Rows 3,000 Domain shopping advice Format data.parquet, one row per example Licence mit Built for supervised fine-tuning (SFT) experiments on Adaption AutoScientist Columns Column Description original_prompt The prompt (user turn) as… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-product-advice-shortlist-3k.

sourceHugging Facemitupdated 14h agoView on Hugging Face

0likes3downloads

Dataset Card

Product Advice Shortlist

A shopper states a colour, occasion and budget; the model picks the one item from a four-item shortlist that meets all three and explains why each other item fails.


Rows	3,000
Domain	shopping advice
Format	`data.parquet`, one row per example
Licence	mit
Built for	supervised fine-tuning (SFT) experiments on Adaption AutoScientist

Columns

Column	Description
`original_prompt`	The prompt (user turn) as uploaded.
`original_completion`	The target response as uploaded.
`enhanced_prompt`	Empty in this dataset.
`enhanced_completion`	Empty in this dataset.

How it was built

Built from a 44K-row MIT fashion catalogue; exactly one item fits by construction, re-checked from the stored attributes (0 wrong).

Sources and licence

—VashuTheGreat2/E-Commerce-Product-Recommendation (MIT)

Notes

—Columns enhanced_prompt, enhanced_completion are empty in this dataset (the Adaption export reserves them for rewritten text).

Loading

python

from datasets import load_dataset
ds = load_dataset("rodriguescarson/adaption-product-advice-shortlist-3k", split="train")

python

import pandas as pd
df = pd.read_parquet("hf://datasets/rodriguescarson/adaption-product-advice-shortlist-3k/data.parquet")

Published by Carson Rodrigues (Hugging Face, Kaggle).