README.md

---
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}
}
```