Create new file

xlcost_conversion.py

@@ -0,0 +1,91 @@
+from tqdm import tqdm
+from datasets import Dataset
+ 
+"""to run inside XLCOST_DATA folder after downloading XLCost data from this repo https://github.com/reddy-lab-code-research/XLCoST"""
+
+
+class Example(object):
+    """A single training/test example."""
+    def __init__(self,
+                 idx,
+                 source,
+                 target,
+                 ):
+        self.idx = idx
+        self.source = source
+        self.target = target
+
+def read_examples(filename):
+    """Read examples from filename."""
+    examples=[]
+    assert len(filename.split(','))==2
+    src_filename = filename.split(',')[0]
+    trg_filename = filename.split(',')[1]
+    idx = 0
+    with open(src_filename) as f1,open(trg_filename) as f2:
+            for line1,line2 in zip(f1,f2):
+                examples.append(
+                Example(
+                        idx = idx,
+                        source=line1.strip(),
+                        target=line2.strip(),
+                        ) 
+                )
+                idx+=1
+    return examples
+
+def create_data(filename):
+    examples = read_examples(filename)
+    text = []
+    code = []
+    print(len(examples))
+    for i in tqdm(range(len(examples))): 
+        text.append(examples[i].source)
+        code.append(examples[i].target)
+    data = {"text": text, "code": code}
+    data = Dataset.from_dict(data)
+    return data
+
+if __name__ == "__main__":
+    #clone xlcost-text-to-code hub repo
+    LANG = ["Python", "C", "C#", "Java", "PHP", "Javascript", "C++"]
+    EXTENSION = ["py", "c", "cs", "java", "php", "js", "cpp"]
+
+    for i in range(len(LANG)):
+        # for each language this saves train test and validation subsets for both snippet and program levels
+        lang = LANG[i]
+        ext = EXTENSION[i]
+        print(f"language: {lang}")
+        if lang == "C#":
+            path_snippet = f"Csharp-snippet-level"
+            path_program = f"Csharp-program-level"
+        else:
+            path_snippet = f"{lang}-snippet-level"
+            path_program = f"{lang}-program-level"
+
+        train_filename = f"generation/pair_data_tok_1_comment/{lang}-comment/train-{lang}-comment-tok.txt,generation/pair_data_tok_1_comment/{lang}-comment/train-{lang}-comment-tok.{ext}"
+        valid_filename = f"generation/pair_data_tok_1_comment/{lang}-comment/val-{lang}-comment-tok.txt,generation/pair_data_tok_1_comment/{lang}-comment/val-{lang}-comment-tok.{ext}"
+        test_filename = f"generation/pair_data_tok_1_comment/{lang}-comment/test-{lang}-comment-tok.txt,generation/pair_data_tok_1_comment/{lang}-comment/test-{lang}-comment-tok.{ext}"
+
+        train = create_data(train_filename)
+        valid = create_data(valid_filename)
+        test = create_data(test_filename)
+
+        train.to_json(f"xlcost-text-to-code/data/{path_snippet}/train.json", lines=True)
+        valid.to_json(f"xlcost-text-to-code/data/{path_snippet}/valid.json", lines=True)
+        test.to_json(f"xlcost-text-to-code/data/{path_snippet}/test.json", lines=True)
+
+        train_filename = f"generation/pair_data_tok_full_desc_comment/{lang}-desc/train-{lang}-desc-tok.txt,generation/pair_data_tok_full_desc_comment/{lang}-desc/train-{lang}-desc-tok.{ext}"
+        valid_filename = f"generation/pair_data_tok_full_desc_comment/{lang}-desc/val-{lang}-desc-tok.txt,generation/pair_data_tok_full_desc_comment/{lang}-desc/val-{lang}-desc-tok.{ext}"
+        test_filename = f"generation/pair_data_tok_full_desc_comment/{lang}-desc/test-{lang}-desc-tok.txt,generation/pair_data_tok_full_desc_comment/{lang}-desc/test-{lang}-desc-tok.{ext}"
+
+        train = create_data(train_filename)
+        valid = create_data(valid_filename)
+        test = create_data(test_filename)
+
+        train.to_json(f"xlcost-text-to-code/data/{path_program}/train.json", lines=True)
+        valid.to_json(f"xlcost-text-to-code/data/{path_program}/valid.json", lines=True)
+        test.to_json(f"xlcost-text-to-code/data/{path_program}/test.json", lines=True)
+
+        #push to hub the folder xlcost (containing data/ and xlcost.py dataset builder script)
+