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README.md
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language:
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- en
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pretty_name: PaECTER Dataset
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dataset_info:
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-
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features:
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- name: query
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dtype: string
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num_examples: 1275000
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- name: validation
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num_examples: 225000
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configs:
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- config_name: train_validation_set
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data_files:
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- split: validation
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path: train_validation_set/validation.jsonl
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default: true
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-
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language:
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- en
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pretty_name: PaECTER Dataset
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size_categories:
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- 100K<n<1M
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dataset_info:
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- config_name: train_validation_set
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features:
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- name: query
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dtype: string
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num_examples: 1275000
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- name: validation
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num_examples: 225000
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- config_name: testset
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features:
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- name: query
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dtype: string
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- name: pos
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dtype: list
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- name: neg
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dtype: list
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splits:
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- name: test
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num_examples: 1000
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configs:
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- config_name: train_validation_set
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data_files:
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- split: validation
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path: train_validation_set/validation.jsonl
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default: true
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- config_name: testset
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data_files:
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- split: test
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path: testset/test.jsonl
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---
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## Citing & Authors
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```
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@misc{ghosh2024paecter,
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title={PaECTER: Patent-level Representation Learning using Citation-informed Transformers},
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author={Mainak Ghosh and Sebastian Erhardt and Michael E. Rose and Erik Buunk and Dietmar Harhoff},
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year={2024},
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eprint={2402.19411},
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archivePrefix={arXiv},
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primaryClass={cs.IR}
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}
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```
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