feat(data): update data

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# BMES files - uncompressed
+*.bmes filter=lfs diff=lfs merge=lfs -text

.gitignore

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+download.py
+save.py
+*.bmes
+data/labels.txt
+*.json

README.md

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+---
+dataset_info:
+  features:
+  - name: text
+    sequence: string
+  - name: labels
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-NS
+          '2': M-NS
+          '3': E-NS
+          '4': S-NS
+          '5': B-NT
+          '6': M-NT
+          '7': E-NT
+          '8': S-NT
+          '9': B-NR
+          '10': M-NR
+          '11': E-NR
+          '12': S-NR
+  splits:
+  - name: train
+    num_bytes: 32917977
+    num_examples: 46364
+  - name: validation
+    num_bytes: 2623860
+    num_examples: 4365
+  - name: test
+    num_bytes: 2623860
+    num_examples: 4365
+  download_size: 4762958
+  dataset_size: 38165697
+---
+
+### How to loading dataset?
+```python
+from datasets import load_dataset
+datasets = load_dataset("minskiter/msra_dev",save_infos=True)
+train,test = datasets['train'],datasets['test']
+# convert label to str
+print(train.features['labels'].feature.int2str(0))
+```
+
+### Force update
+```python
+from datasets import load_dataset
+datasets = load_dataset("minskiter/msra_dev", download_mode="force_redownload")
+```
+
+### Fit your train
+
+```python
+def transform(example):
+  # edit example here
+  return example
+for key in datasets:
+  datasets[key] = datasets.map(transform)
+```

data/test.parquet

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+oid sha256:1c458c4d25ed611ecfe2a5dc548b671df7c12efa48e8ff42d25bc45a86450a3c
+size 334044

data/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:50ac447cb00d6364eae1ef716191973b738626074bf66ad5c68b49d4a50b56af
+size 4094870

data/validation.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1c458c4d25ed611ecfe2a5dc548b671df7c12efa48e8ff42d25bc45a86450a3c
+size 334044

msra_dev.py

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+import datasets
+from datasets.download.download_manager import DownloadManager
+import pyarrow.parquet as pq
+
+_DESCRIPTION = """\
+The MSRA NER dataset is a Chinese Named Entity Recognition dataset 
+"""
+
+_CITATION = """\
+@inproceedings{levow-2006-third,
+    title = "The Third International {C}hinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition",
+    author = "Levow, Gina-Anne",
+    booktitle = "Proceedings of the Fifth {SIGHAN} Workshop on {C}hinese Language Processing",
+    month = jul,
+    year = "2006",
+    address = "Sydney, Australia",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/W06-0115",
+    pages = "108--117",
+}
+"""
+
+_URL = "https://huggingface.co/datasets/minskiter/msra_dev/resolve/main/"
+_URLS = {
+    "train": _URL + "data/train.parquet",
+    'validation': _URL + "data/validation.parquet",
+    "test": _URL + "data/test.parquet",
+}
+
+class MSRANamedEntities(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Sequence(datasets.Value("string")),
+                    "labels": datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                'O',    
+                                'B-NS',
+                                'M-NS',
+                                'E-NS',
+                                'S-NS',
+                                'B-NT',
+                                'M-NT',
+                                'E-NT',
+                                'S-NT',
+                                'B-NR',
+                                'M-NR',
+                                'E-NR',
+                                'S-NR'                               
+                            ]
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://aclanthology.org/W06-0115/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: DownloadManager):
+        urls_to_download = _URLS
+        download_files = dl_manager.download_and_extract(urls_to_download)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": download_files["train"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": download_files["validation"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": download_files["test"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath,"rb") as f:
+            with pq.ParquetFile(f) as file:
+                _id = -1
+                for i in file.iter_batches(batch_size=64):
+                    rows = i.to_pylist()
+                    for row in rows:
+                        _id+=1
+                        yield _id, row