Create masader.py

masader.py

@@ -0,0 +1,103 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""Arabic Poetry Metric dataset."""
+
+
+import os
+import datasets
+import pandas as pd
+
+_DESCRIPTION = """\
+Masader is the largest public catalogue for Arabic NLP datasets, which consists of more than 200 datasets annotated with 25 attributes. 
+"""
+
+_CITATION = """\
+@misc{alyafeai2021masader,
+      title={Masader: Metadata Sourcing for Arabic Text and Speech Data Resources}, 
+      author={Zaid Alyafeai and Maraim Masoud and Mustafa Ghaleb and Maged S. Al-shaibani},
+      year={2021},
+      eprint={2110.06744},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+      }
+"""
+
+columns = ['No.', 'Name', 'Subsets', 'Link', 'License', 'Year', 'Language',
+       'Dialect', 'Domain', 'Form', 'Collection Style', 'Description',
+       'Volume', 'Unit', 'Ethical Risks', 'Provider', 'Derived From',
+       'Paper Title', 'Paper Link', 'Script', 'Tokenized', 'Host', 'Access',
+       'Cost', 'Test Split']
+
+class MasaderConfig(datasets.BuilderConfig):
+    """BuilderConfig for Masader."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for MetRec.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(MasaderConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+
+
+class Masader(datasets.GeneratorBasedBuilder):
+    """Masaderdataset."""
+
+    BUILDER_CONFIGS = [
+        MetRecConfig(
+            name="plain_text",
+            description="Plain text",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    columns[i]: datasets.Value("string") for i in range(len(columns)),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/arbml/Masader",
+            citation=_CITATION,)
+
+    def _split_generators(self, dl_manager):
+        sheet_id = "1YO-Vl4DO-lnp8sQpFlcX1cDtzxFoVkCmU1PVw_ZHJDg"
+        sheet_name = "filtered_clean"
+        url = f"https://docs.google.com/spreadsheets/d/{sheet_id}/gviz/tq?tqx=out:csv&sheet={sheet_name}"
+        
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"directory":url }
+            ),
+        ]
+
+    def _generate_examples(self, url):
+        """Generate examples."""
+        # For labeled examples, extract the label from the path.
+        
+                
+        df = pd.read_csv(url, usecols=range(34))
+        subsets = []
+        for i, entry in enumerate(df.values):
+          if str(df.values[i][0]) == "nan":
+              continue
+        
+          entry_list = entry.tolist()
+          masader_entry = {col:entry_list[i] for i,col in enumerate(columns)}
+          yield i, masader_entry