Update humset.py

humset.py

@@ -37,6 +37,11 @@ _DESCRIPTION = """\
 HumSet is a novel and rich multilingual dataset of humanitarian response documents annotated by experts in the humanitarian response community. HumSet is curated by humanitarian analysts and covers various disasters around the globe that occurred from 2018 to 2021 in 46 humanitarian response projects. The dataset consists of approximately 17K annotated documents in three languages of English, French, and Spanish, originally taken from publicly-available resources. For each document, analysts have identified informative snippets (entries) in respect to common humanitarian frameworks, and assigned one or many classes to each entry. See the our paper for details.
 """
 
+_DESCRIPTION_BIAS = """\
+HUMSETBIAS is a subset of the English part of the HUMSET dataset, created by searching for specific sensitive English keywords related to genders and countries within the annotated text. In addition, we extended this
+subset by incorporating targeted counterfactual samples, generated by modifying the original entries in order to create the altered versions of each text with gender/country information. The purpose of HUMSETBIAS is to provide a more targeted resource for analyzing and addressing potential biases in humanitarian data and to enable the development of accurate and bias-aware NLP applications in the humanitarian sector.
+"""
+
 _HOMEPAGE = "https://huggingface.co/datasets/nlp-thedeep/humset"
 
 _LICENSE = "The GitHub repository which houses this dataset has an Apache License 2.0."
@@ -53,6 +58,12 @@ _URLs = {
         "dev": "data/validation_1_1.jsonl",
         "test": "data/test_1_1.jsonl"
     }
+    "humsetbias": {
+        "train": "data/humset_bias_train.jsonl",
+        "dev": "data/humset_bias_val.jsonl",
+        "gender": "data/test_gender.jsonl",
+        "country": "data/test_country.jsonl"
+    }
 }
 
 
@@ -61,6 +72,7 @@ _SUPPORTED_VERSIONS = [
     datasets.Version("1.0.0", "Only primary tags"),
     # Second version
     datasets.Version("2.0.0", "Extented data points including secondary tags and geolocations"),
+    datasets.Version("humsetbias", "Gender and Country bias extension of HumSet")
 ]
 
 
@@ -118,6 +130,26 @@ SECOND_FEATURES = datasets.Features(
     }
 )
 
+HUMSETBIAS_FEATURES = datasets.Features(
+    {
+        "entry_id":  datasets.Value("string"),
+        "excerpt": datasets.Value("string"),
+        "lang": datasets.Value("string"),
+        "keywords": datasets.Sequence(datasets.Value("string"), length=-1),
+        "gender_keywords": datasets.Sequence(datasets.Value("string"), length=-1),
+        "country_keywords": datasets.Sequence(datasets.Value("string"), length=-1),
+        "gender_kword_type": datasets.Sequence(datasets.Value("string"), length=-1),
+        "country_kword_type": datasets.Sequence(datasets.Value("string"), length=-1),
+        "gender_context_falsing_kw": datasets.Sequence(datasets.Value("string"), length=-1),
+        "country_context_falsing_kw": datasets.Sequence(datasets.Value("string"), length=-1),
+        "excerpt_type": datasets.Value("string"),
+        "sectors": datasets.Sequence(datasets.Value("string"), length=-1),
+        "pillars_1d": datasets.Sequence(datasets.Value("string"), length=-1),
+        "pillars_2d": datasets.Sequence(datasets.Value("string"), length=-1),
+        "subpillars_1d": datasets.Sequence(datasets.Value("string"), length=-1),
+        "subpillars_2d": datasets.Sequence(datasets.Value("string"), length=-1),
+    }
+)
 class HumsetConfig(datasets.BuilderConfig):
     """BuilderConfig for DuoRC SelfRC."""
 
@@ -165,13 +197,24 @@ class Humset(datasets.GeneratorBasedBuilder):
                 citation=_CITATION,
             )
 
+        elif self.config.name == "humsetbias":
+            return datasets.DatasetInfo(
+                # This is the description that will appear on the datasets page.
+                description=_DESCRIPTION_BIAS,
+                # This defines the different columns of the dataset and their types
+                features=HUMSETBIAS_FEATURES,
+                homepage=_HOMEPAGE,
+                license=_LICENSE,
+                citation=_CITATION,
+            )
+
     def _split_generators(self, dl_manager):
         
         """Returns SplitGenerators."""
 
         my_urls = _URLs[self.config.name]
         downloaded_files = dl_manager.download_and_extract(my_urls)
-        return [
+        splits =  [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
@@ -183,14 +226,36 @@ class Humset(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": downloaded_files["dev"],
                 },
-            ),
+            )]
+
+        if self.config.name in ["1.0.0", "2.00"]:
+            splits = splits + [
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "filepath": downloaded_files["test"],
                 },
+            )
+        ]
+
+        elif self.config.name == "humsetbias":
+
+            splits = splits + [
+            
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": downloaded_files["gender"],
+                },
             ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": downloaded_files["country"],
+                },
+            )
         ]
+        return splits
 
     def _generate_examples(self, filepath):