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---
license: apache-2.0
task_categories:
- sentence-similarity
language:
- en
pretty_name: PaECTER Dataset
dataset_info:
- config_name: train_validation_set
features:
- name: query
dtype: string
- name: pos
dtype: string
- name: neg
dtype: string
splits:
- name: train
num_examples: 1275000
- name: validation
num_examples: 225000
- config_name: testset
features:
- name: query
dtype: string
- name: pos
list: string
- name: neg
list: string
splits:
- name: test
num_examples: 1000
configs:
- config_name: train_validation_set
data_files:
- split: train
path: train_validation_set/training.jsonl
- split: validation
path: train_validation_set/validation.jsonl
default: true
- config_name: testset
data_files:
- split: test
path: testset/test.jsonl
---
## Citing & Authors
```
@misc{ghosh2024paecter,
title={PaECTER: Patent-level Representation Learning using Citation-informed Transformers},
author={Mainak Ghosh and Sebastian Erhardt and Michael E. Rose and Erik Buunk and Dietmar Harhoff},
year={2024},
eprint={2402.19411},
archivePrefix={arXiv},
primaryClass={cs.IR}
}
``` |