| | --- |
| | language: |
| | - en |
| | multilinguality: |
| | - monolingual |
| | size_categories: |
| | - 100K<n<1M |
| | task_categories: |
| | - summarization |
| | - text2text-generation |
| | task_ids: [] |
| | tags: |
| | - conditional-text-generation |
| | --- |
| | |
| | # MediaSum dataset for summarization |
| |
|
| | Summarization dataset copied from [MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization](https://github.com/zcgzcgzcg1/MediaSum) |
| |
|
| | This dataset is compatible with the [`run_summarization.py`](https://github.com/huggingface/transformers/tree/master/examples/pytorch/summarization) script from Transformers if you add this line to the `summarization_name_mapping` variable: |
| | ```python |
| | "ccdv/mediasum": ("document", "summary") |
| | ``` |
| |
|
| | # Configs |
| | 4 possibles configs: |
| | - `roberta` will concatenate documents with "\</s\>" |
| | - `newline` will concatenate documents with "\n" |
| | - `bert` will concatenate documents with "[SEP]" |
| | - `list` will return the list of documents instead of a single string |
| |
|
| | Add `_prepended` to config name to prepend the speaker name before each dialogue: `speaker: text` \ |
| | Default is `roberta_prepended` (compatible with BART). |
| |
|
| | ### Data Fields |
| |
|
| | - `id`: paper id |
| | - `document`: a string/list containing the body of a set of documents |
| | - `summary`: a string containing the abstract of the set |
| |
|
| | ### Data Splits |
| |
|
| | This dataset has 3 splits: _train_, _validation_, and _test_. \ |
| |
|
| | | Dataset Split | Number of Instances | |
| | | ------------- | --------------------| |
| | | Train | 443596 | |
| | | Validation | 10000 | |
| | | Test | 10000 | |
| |
|
| |
|
| | # Cite original article |
| | ``` |
| | @article{zhu2021mediasum, |
| | title={MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization}, |
| | author={Zhu, Chenguang and Liu, Yang and Mei, Jie and Zeng, Michael}, |
| | journal={arXiv preprint arXiv:2103.06410}, |
| | year={2021} |
| | } |
| | ``` |
