info add

dataset_infos.json

@@ -0,0 +1,61 @@
+{
+  "political-advertising-pl": {
+    "description": "The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on\nfour types of named entities: persons, locations, organizations and names of miscellaneous entities that do\nnot belong to the previous three groups.\n\nThe CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on\na separate line and there is an empty line after each sentence. The first item on each line is a word, the second\na part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags\nand the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only\nif two phrases of the same type immediately follow each other, the first word of the second phrase will have tag\nB-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2\ntagging scheme, whereas the original dataset uses IOB1.\n\nFor more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419\n",
+    "citation": "@inproceedings{augustyniak-etal-2020-political,\n   title = \"Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections\",\n   author = \"Augustyniak, Lukasz  and\n     Rajda, Krzysztof  and\n     Kajdanowicz, Tomasz  and\n     Bernaczyk, Micha{l}\",\n   booktitle = \"Proceedings of the The Fourth Widening Natural Language Processing Workshop\",\n   month = jul,\n   year = \"2020\",\n   address = \"Seattle, USA\",\n   publisher = \"Association for Computational Linguistics\",\n   url = \"https://www.aclweb.org/anthology/2020.winlp-1.28\",\n   pages = \"110--114\"",
+    "homepage": "https://github.com/laugustyniak/misinformation",
+    "license": "",
+    "features": {
+      "id": { "dtype": "string", "id": null, "_type": "Value" },
+      "tokens": {
+        "feature": { "dtype": "string", "id": null, "_type": "Value" },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      },
+      "tags": {
+        "feature": {
+          "num_classes": 47,
+          "names": [
+            "O",
+            "B-DEFENSE_AND_SECURITY",
+            "I-DEFENSE_AND_SECURITY",
+            "B-EDUCATION",
+            "I-EDUCATION",
+            "B-FOREIGN_POLICY",
+            "I-FOREIGN_POLICY",
+            "B-HEALHCARE",
+            "I-HEALHCARE",
+            "B-IMMIGRATION",
+            "I-IMMIGRATION",
+            "B-INFRASTRUCTURE_AND_ENVIROMENT",
+            "I-INFRASTRUCTURE_AND_ENVIROMENT",
+            "B-POLITICAL_AND_LEGAL_SYSTEM",
+            "I-POLITICAL_AND_LEGAL_SYSTEM",
+            "B-SOCIETY",
+            "I-SOCIETY",
+            "B-WELFARE",
+            "I-WELFARE"
+          ],
+          "names_file": null,
+          "id": null,
+          "_type": "ClassLabel"
+        },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      }
+    },
+    "post_processed": null,
+    "supervised_keys": null,
+    "task_templates": null,
+    "builder_name": "political_advertising_loader",
+    "config_name": "political_advertising_loader",
+    "version": {
+      "version_str": "1.0.0",
+      "description": null,
+      "major": 1,
+      "minor": 0,
+      "patch": 0
+    }
+  }
+}

political_advertising_loader.py

@@ -3,6 +3,8 @@ from pathlib import Path
 import datasets
 import pandas as pd
 
+logger = datasets.logging.get_logger(__name__)
+
 _CITATION = """\
 @inproceedings{augustyniak-etal-2020-political,
     title = "Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections",
@@ -99,6 +101,8 @@ class PoliticalAdvertisingDataset(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath: str):
+        logger.info("⏳ Generating examples from = %s", filepath)
+
         df = pd.read_json(filepath)
         for row_id, row in df.iterrows():
             yield row_id, {