---
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.