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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