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---
license: apache-2.0
language:
- en
size_categories:
- n<1K
---
### Dataset Summary
This dataset contains the data for personalized passkey retrieval task in the paper [Improving Text Embeddings with Large Language Models](https://arxiv.org/pdf/2401.00368.pdf).
### Data Fields
- `query`: a `string` feature.
- `candidates`: List of `string` feature, 100 candidates for each query.
- `label`: a `int32` feature, the index of the correct candidate in the candidates list, always 0.
- `context_length`: a `int32` feature, the approximate length for the candidate documents.
### How to use this dataset
You can load the dataset in your python code as follows:
```python
from datasets import load_dataset
dataset = load_dataset("intfloat/personalized_passkey_retrieval")
```
The data in this repo is generated by the script [generate_passkey_data.py](https://huggingface.co/datasets/intfloat/personalized_passkey_retrieval/blob/main/generate_passkey_data.py).
You can also tweak the script to generate your own data.
### Citation Information
If you use this dataset in your research, please cite this paper:
```
@inproceedings{Wang2023ImprovingTE,
title={Improving Text Embeddings with Large Language Models},
author={Liang Wang and Nan Yang and Xiaolong Huang and Linjun Yang and Rangan Majumder and Furu Wei},
year={2023},
}
``` |