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specify in readme that both datasets are required

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Rémi Louf
2019-10-15 15:26:33 +02:00
parent 19e9964780
commit 0d81fc853e
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examples/README.md
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@@ -395,13 +395,17 @@ This fine-tuned model is available as a checkpoint under the reference
Based on the script [`run_seq2seq_finetuning.py`](https://github.com/huggingface/transformers/blob/master/examples/run_seq2seq_finetuning.py). Based on the script [`run_seq2seq_finetuning.py`](https://github.com/huggingface/transformers/blob/master/examples/run_seq2seq_finetuning.py).
Before running this script you should download **both** CNN and Daily Mail datasets (the links next to "Stories") from [Kyunghyun Cho's website](https://cs.nyu.edu/~kcho/DMQA/) in the same folder. Then uncompress the archives by running: Before running this script you should download **both** CNN and Daily Mail
datasets from [Kyunghyun Cho's website](https://cs.nyu.edu/~kcho/DMQA/) (the
links next to "Stories") in the same folder. Then uncompress the archives by running:
```bash ```bash
tar -xvf cnn_stories.tgz && tar -xvf dailymail_stories.tgz tar -xvf cnn_stories.tgz && tar -xvf dailymail_stories.tgz
``` ```
We will refer as `$DATA_PATH` the path to where you uncompressed both archive. note that the finetuning script **will not work** if you do not download both
datasets. We will refer as `$DATA_PATH` the path to where you uncompressed both
archive.
## Bert2Bert and abstractive summarization ## Bert2Bert and abstractive summarization