feat(data): change bmes to parquet

data/{test.char.bmes → test.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54d4eae480d0175b08c2967d7b325471789038948f2b43bac21900b66b8a4960
-size 93851
+oid sha256:516e640ed45b46302dbe2adf133596e52b764f5de05d8a9da603b2b4db7ce202
+size 47490

data/{train.char.bmes → train.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:64a6cddf1cc3e0238aae5da70e50b95ef85d236235562ddad42e1ebe1bb9d7fe
-size 461990
+oid sha256:c94ad632fd3f9b1c32a42c55d443cba30cd2ada3d9940684326eb1ea1abfceea
+size 214937

data/{validation.char.bmes → validation.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9515ea6d85c9304b7f172f8b352b462b15d80d369a8d9607a8dfda1599740a92
-size 91251
+oid sha256:2f95b23904d28860c1703fd8a3649d64a320011e5f4076a078c9680f4414cf95
+size 46872

weibo.py

@@ -1,5 +1,6 @@
 import datasets
 from datasets.download.download_manager import DownloadManager
+import pyarrow.parquet as pq
 
 _DESCRIPTION = """\
 The Weibo NER dataset is a Chinese Named Entity Recognition dataset 
@@ -25,9 +26,9 @@ _CITATION = """\
 
 _URL = "https://huggingface.co/datasets/minskiter/weibo/resolve/main/"
 _URLS = {
-    "train": _URL + "data/train.char.bmes",
-    "validation": _URL + "data/validation.char.bmes",
-    "test": _URL + "data/test.char.bmes",
+    "train": _URL + "data/train.parquet",
+    "validation": _URL + "data/validation.parquet",
+    "test": _URL + "data/test.parquet",
 }
 
 class WeiboNamedEntities(datasets.GeneratorBasedBuilder):
@@ -103,26 +104,13 @@ class WeiboNamedEntities(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    def _default_example(self):
-        return {"text": [], "labels": []}
-
     def _generate_examples(self, filepath):
-        with open(filepath, "r", encoding="utf-8") as f:
-            example = self._default_example()
-            _id = 0
-            for line in f:
-                if len(line.strip()) == 0:
-                    if len(example["text"]) > 0:
-                        yield _id, example
-                        example = self._default_example()
-                        _id += 1
-                    continue
-                char, label = line.split(" ")
-                char = char.strip()
-                if char == "":
-                    char = " "
-                label = label.strip()
-                example["text"].append(char)
-                example["labels"].append(label)
-            if len(example["text"]) > 0:
-                yield _id, example
+        file  = pq.ParquetFile(filepath)
+        _id = -1
+        for i in file.iter_batches(batch_size=64):
+            rows = i.to_pylist()
+            for row in rows:
+                _id+=1
+                yield _id, row
+
+