Merge branch 'main' of https://huggingface.co/datasets/maximedb/mfaq_light into main

update_margin_score.py

@@ -0,0 +1,49 @@
+import os
+import json
+import tqdm
+import argparse
+import functools
+import multiprocessing
+
+
+def process_file(filename, margin_data=None):
+    
+    in_file = open(filename, "r")
+    out_file = open(filename + ".tmp", "w+")
+
+    for line in in_file:
+        line = json.loads(line)
+        line["margin_score"] = margin_data.get(line["id"], -1000)
+        out_file.write(json.dumps(line, ensure_ascii=False) + "\n")
+
+    in_file.close()
+    out_file.close()
+    os.rename(filename + ".tmp", filename)
+        
+
+def main(args):
+    
+    with open(args.positive_file) as f:
+        positive_data = json.load(f)
+
+    with open(args.negative_file) as f:
+        negative_data = json.load(f)
+
+    margin_data = {k: positive_data[k] - negative_data[k] for k in positive_data.keys()}
+
+    process_file_fn = functools.partial(process_file, margin_data=margin_data)
+    filenames = args.valid_filenames + args.train_filenames
+    with multiprocessing.Pool(args.num_workers) as p:
+        for _ in tqdm.tqdm(p.imap_unordered(process_file_fn, filenames), total=len(filenames)):
+            pass
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--positive_file")
+    parser.add_argument("--negative_file")
+    parser.add_argument("--valid_filenames", nargs="+")
+    parser.add_argument("--train_filenames", nargs="+")
+    parser.add_argument("--num_workers", type=int, default=os.cpu_count())
+    args = parser.parse_args()
+    main(args)