removed empty text files

remove_empty/remove_empty.py

@@ -0,0 +1,54 @@
+from pathlib import Path
+
+import mteb
+
+log_file_path = Path("remove_empty.log")
+
+# remove log file if exists
+if log_file_path.exists():
+    log_file_path.unlink()
+
+tasks = mteb.get_tasks(tasks=["STS22"])
+task = tasks[0]
+
+task.load_data()
+
+
+def filter_sample(x):
+    if len(x["sentence1"]) > 0 and len(x["sentence2"]) > 0:
+        return True
+    log = f"Filtered: {x['sentence1']} -- {x['sentence2']}"
+    with open(log_file_path, "a") as f:
+        f.write(log + "\n")
+    print(log)
+    return False
+
+
+for hf_subset in task.dataset:
+    _ds = task.dataset[hf_subset]
+    for split in _ds:
+        ds = _ds[split]
+        # filter empty sentences
+        n_samples = len(ds)
+        ds = ds.filter(lambda x: filter_sample(x))
+        n_left = len(ds)
+        log = f"Filtered {n_samples - n_left} samples from {n_samples} in {hf_subset} - {split}"
+        with open(log_file_path, "a") as f:
+            f.write(log + "\n")
+        print(log)
+        _ds[split] = ds
+
+    task.dataset[hf_subset] = _ds
+
+save_path = Path(__file__).parent.parent
+
+for hf_subset in task.dataset:
+    _ds = task.dataset[hf_subset]
+    for split in _ds:
+        ds = _ds[split]
+        ds.to_json(save_path / split / (hf_subset + ".jsonl.gz"), compression="gzip")
+        log = f"Saved {hf_subset} - {split} to {save_path / split / (hf_subset + '.jsonl.gz')}"
+
+        with open(log_file_path, "a") as f:
+            f.write(log + "\n")
+        print(log)

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