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microsoft · Apr 3, 2023 · a27f7d5 · a27f7d5
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diff --git a/examples/QA-PubMedQA/README.md b/examples/QA-PubMedQA/README.md
@@ -3,13 +3,7 @@
 ## Data
 Download data from [PubMedQA](https://github.com/pubmedqa/pubmedqa) and following the steps of splitting dataset.
 
-Copy the files `pqal_fold0/train_set.json`, `pqal_fold0/dev_set.json`, `test_set.json` and `test_ground_truth.json` to `../../../data/PubMedQA/raw` and rename them:
-
-``` bash
-mv train_set.json pqal_train_set.json
-mv dev_set.json pqal_dev_set.json
-mv test_set.json pqal_test_set.json
-```
+Copy the files `pqal_fold0/train_set.json`, `pqal_fold0/dev_set.json`, `test_set.json` and `test_ground_truth.json` to `../../data/PubMedQA/raw`
 
 Then, you can process the data by:
 ``` bash
@@ -22,7 +16,7 @@ bash preprocess_large.sh # for BioGPT-Large
 
 
 ## Model Checkpoint
-We provide our fine-tuned model on the task. See [here](../../../README.md#pre-trained-models)
+We provide our fine-tuned model on the task. See [here](../../README.md#pre-trained-models)
 
 ## Inference and Evaluating
 You can inference and evaluate the model on the test set by:

diff --git a/examples/QA-PubMedQA/rebuild_data.py b/examples/QA-PubMedQA/rebuild_data.py
@@ -77,6 +77,6 @@ def worker(fname, prefix, fn):
     dumper(ret, prefix)
 
 
-worker(os.path.join(f"{data_dir}", "pqal_train_set.json"), os.path.join(f"{data_dir}", f"{prefix}_train"), build_target_seq)
-worker(os.path.join(f"{data_dir}", "pqal_dev_set.json"), os.path.join(f"{data_dir}", f"{prefix}_valid"), build_target_seq)
-worker(os.path.join(f"{data_dir}", "pqal_test_set.json"), os.path.join(f"{data_dir}", f"{prefix}_test"), build_target_seq)
+worker(os.path.join(f"{data_dir}", "train_set.json"), os.path.join(f"{data_dir}", f"{prefix}_train"), build_target_seq)
+worker(os.path.join(f"{data_dir}", "dev_set.json"), os.path.join(f"{data_dir}", f"{prefix}_valid"), build_target_seq)
+worker(os.path.join(f"{data_dir}", "test_set.json"), os.path.join(f"{data_dir}", f"{prefix}_test"), build_target_seq)