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---
license: cc
task_categories:
- text-generation
- text2text-generation
language:
- en
tags:
- keyphrase-generation
- paleontology
- astrophysics
- natural-language-processing
size_categories:
- 1K<n<10K
configs:
- config_name: paleo
data_files:
- split: train
path:
- "paleo/train.jsonl"
- split: test
path: "paleo/test.jsonl"
- config_name: nlp
data_files:
- split: train
path:
- "nlp/train.jsonl"
- split: test
path: "nlp/test.jsonl"
- config_name: astro
data_files:
- split: train
path:
- "astro/train.jsonl"
- split: test
path: "astro/test.jsonl"
---
This dataset contains the data files generated by silk, a method that leverages citation contexts to create synthetic samples of documents paired with silver-standard keyphrases for adapting keyphrase generation models to new domains.
We applied silk on three domains --namely, Natural Language Processing (nlp), Astrophysics (astro)and Paleontology (paleo)--, thereby creating new adaptation data for each domain.
This dataset also includes three human-labeled test sets to assess the performance of keyphrase generation across these domains.
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