| ## Dataset Summary | |
| A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific papers. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150.pdf](https://aclanthology.org/D14-1150.pdf) | |
| Original source of the data - []() | |
| ## Dataset Structure | |
| ### Data Fields | |
| - **id**: unique identifier of the document. | |
| - **document**: Whitespace separated list of words in the document. | |
| - **doc_bio_tags**: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represents the word that isn't a part of the keyphrase at all. | |
| - **extractive_keyphrases**: List of all the present keyphrases. | |
| - **abstractive_keyphrase**: List of all the absent keyphrases. | |
| ### Data Splits | |
| |Split| #datapoints | | |
| |--|--| | |
| | Test | 755 | | |
| - Percentage of keyphrases that are named entities: 56.99% (named entities detected using scispacy - en-core-sci-lg model) | |
| - Percentage of keyphrases that are noun phrases: 54.99% (noun phrases detected using spacy en-core-web-lg after removing determiners) | |
| ## Usage | |
| ### Full Dataset | |
| ```python | |
| from datasets import load_dataset | |
| # get entire dataset | |
| dataset = load_dataset("midas/kdd", "raw") | |
| # sample from the test split | |
| print("Sample from test dataset split") | |
| test_sample = dataset["test"][0] | |
| print("Fields in the sample: ", [key for key in test_sample.keys()]) | |
| print("Tokenized Document: ", test_sample["document"]) | |
| print("Document BIO Tags: ", test_sample["doc_bio_tags"]) | |
| print("Extractive/present Keyphrases: ", test_sample["extractive_keyphrases"]) | |
| print("Abstractive/absent Keyphrases: ", test_sample["abstractive_keyphrases"]) | |
| print("\n-----------\n") | |
| ``` | |
| **Output** | |
| ```bash | |
| Sample from test data split | |
| Fields in the sample: ['id', 'document', 'doc_bio_tags', 'extractive_keyphrases', 'abstractive_keyphrases', 'other_metadata'] | |
| Tokenized Document: ['Discovering', 'roll-up', 'dependencies'] | |
| Document BIO Tags: ['O', 'O', 'O'] | |
| Extractive/present Keyphrases: [] | |
| Abstractive/absent Keyphrases: ['logical design'] | |
| ----------- | |
| ``` | |
| ### Keyphrase Extraction | |
| ```python | |
| from datasets import load_dataset | |
| # get the dataset only for keyphrase extraction | |
| dataset = load_dataset("midas/kdd", "extraction") | |
| print("Samples for Keyphrase Extraction") | |
| # sample from the test split | |
| print("Sample from test data split") | |
| test_sample = dataset["test"][0] | |
| print("Fields in the sample: ", [key for key in test_sample.keys()]) | |
| print("Tokenized Document: ", test_sample["document"]) | |
| print("Document BIO Tags: ", test_sample["doc_bio_tags"]) | |
| print("\n-----------\n") | |
| ``` | |
| ### Keyphrase Generation | |
| ```python | |
| # get the dataset only for keyphrase generation | |
| dataset = load_dataset("midas/kdd", "generation") | |
| print("Samples for Keyphrase Generation") | |
| # sample from the test split | |
| print("Sample from test data split") | |
| test_sample = dataset["test"][0] | |
| print("Fields in the sample: ", [key for key in test_sample.keys()]) | |
| print("Tokenized Document: ", test_sample["document"]) | |
| print("Extractive/present Keyphrases: ", test_sample["extractive_keyphrases"]) | |
| print("Abstractive/absent Keyphrases: ", test_sample["abstractive_keyphrases"]) | |
| print("\n-----------\n") | |
| ``` | |
| ## Citation Information | |
| ``` | |
| @inproceedings{caragea-etal-2014-citation, | |
| title = "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach", | |
| author = "Caragea, Cornelia and | |
| Bulgarov, Florin Adrian and | |
| Godea, Andreea and | |
| Das Gollapalli, Sujatha", | |
| booktitle = "Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing ({EMNLP})", | |
| month = oct, | |
| year = "2014", | |
| address = "Doha, Qatar", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/D14-1150", | |
| doi = "10.3115/v1/D14-1150", | |
| pages = "1435--1446", | |
| } | |
| ``` | |
| ## Contributions | |
| Thanks to [@debanjanbhucs](https://github.com/debanjanbhucs), [@dibyaaaaax](https://github.com/dibyaaaaax) and [@ad6398](https://github.com/ad6398) for adding this dataset | |