data files added

PEYMA.py

@@ -1,79 +0,0 @@
-import json
-import pandas as pd
-import datasets
-import requests
-import os
-
-_CITATION = """\\
-@article{shahshahani2018peyma,
-    title={PEYMA: A Tagged Corpus for Persian Named Entities},
-    author={Mahsa Sadat Shahshahani and Mahdi Mohseni and Azadeh Shakery and Heshaam Faili},
-    year=2018,
-    journal={ArXiv},
-    volume={abs/1801.09936}
-}
-"""
-_DESCRIPTION = """\\\\\\\\
-PEYMA dataset includes 7,145 sentences with a total of 302,530 tokens from which 41,148 tokens are tagged with seven different classes.
-"""
-
-_DRIVE_URL = "https://drive.google.com/uc?export=download&id=1WZxpFRtEs5HZWyWQ2Pyg9CCuIBs1Kmvx"
-
-class PEYMAConfig(datasets.BuilderConfig):
-    """BuilderConfig for PEYMA."""
-    def __init__(self, **kwargs):
-        super(PEYMAConfig, self).__init__(**kwargs)
-        
-class PEYMA(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        PEYMAConfig(name="PEYMA", version=datasets.Version("1.0.0"), description="persian ner dataset"),
-    ]
-    def _info(self):
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "token": datasets.Value("string"),
-                    "label": datasets.Value("string")
-                }
-            ),
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://hooshvare.github.io/docs/datasets/ner#peyma",
-            citation=_CITATION,
-        )
-
-    def custom_dataset(self, src_url, dest_path):
-        response = requests.get(src_url)
-        response.raise_for_status()
-
-        with open(dest_path, 'wb') as f:
-            f.write(response.content)
-
-        
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-    
-        downloaded_file = dl_manager.download_custom(_DRIVE_URL, self.custom_dataset)
-        extracted_file = dl_manager.extract(downloaded_file)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(extracted_file, 'peyma/train.txt')}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(extracted_file, 'peyma/test.txt')}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(extracted_file, 'peyma/dev.txt')}),
-        ]
-
-    def _generate_examples(self, filepath):
-        try:
-            df = pd.read_csv(filepath, error_bad_lines=False, engine='python', 
-            sep='|', names=["token", "label"])
-            for idx, row in enumerate(reader):
-                yield idx, {
-                    "token": row["token"],
-                    "label": row["label"]
-                }
-        except Exception as e:
-            print(e)