Datasets:
Modalities:
Text
Formats:
csv
Size:
100K - 1M
ArXiv:
Tags:
sequential-recommendation
raw-data
anonymized
e-commerce
next-item-prediction
generative-retrieval
License:
Improve dataset card: Add task categories, relevant tags, paper/code/project links, and update usage details
#2
by
nielsr
HF Staff
- opened
This PR significantly enhances the dataset card for AL-GR/Origin-Sequence-Data by:
- Adding
task_categories: ['text-generation', 'text-retrieval']to the metadata, aligning with the paper's focus on generative retrieval and LLM training. - Including additional
tags(generative-retrieval,semantic-identifiers) for improved discoverability. - Providing direct links to the associated paper, project page, and GitHub repository at the top of the README content.
- Adding an "About the Dataset" section to provide context from the paper's abstract and better explain the dataset's purpose within the FORGE benchmark.
- Renaming "How to Use" to "Sample Usage" for consistency.
- Updating the generic
_CITATIONvariable within the Python loading script to the correct BibTeX citation of the paper. - Making the license text in the content explicit by stating "Apache License 2.0" and linking to its definition.
These changes provide more comprehensive information and improve the overall utility and discoverability of the dataset on the Hub.
Wow, this is fantastic! Thank you so much for your work on the README.
AL-GR
changed pull request status to
merged