Update Naija-Lexicons.py

Naija-Lexicons.py

@@ -55,7 +55,6 @@ import pandas as pd
 import datasets
 
 LANGUAGES = ['hausa', 'igbo', 'yoruba']
-TYPES = ['manual', 'translated']
 
 class NaijaLexiconsConfig(datasets.BuilderConfig):
     """BuilderConfig for NaijaLexicons"""
@@ -63,13 +62,11 @@ class NaijaLexiconsConfig(datasets.BuilderConfig):
     def __init__(
         self,
         text_features,
-        machine_translation,
-        human_translation,
         label_column,
         label_classes,
-        hau_url,
-        ibo_url,
-        yor_url,
+        manual_sentiment_url,
+        translated_sentiment_url,
+        translated_emotion_url,
         citation,
         **kwargs,
     ):
@@ -89,13 +86,11 @@ class NaijaLexiconsConfig(datasets.BuilderConfig):
         """
         super(NaijaLexiconsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
         self.text_features = text_features
-        self.machine_translation = machine_translation
-        self.human_translation = human_translation
         self.label_column = label_column
         self.label_classes = label_classes
-        self.hau_url = hau_url
-        self.ibo_url = ibo_url
-        self.yor_url = yor_url
+        self.manual_sentiment_url = manual_sentiment_url
+        self.translated_sentiment_url = translated_sentiment_url
+        self.translated_emotion_url = translated_emotion_url
         self.citation = citation
 
 
@@ -104,47 +99,24 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = []
 
-    for t in TYPES:
-        if t == 'translated':
-            BUILDER_CONFIGS.append(
-                NaijaLexiconsConfig(
-                    name=t,
-                    description=textwrap.dedent(
-                        f"""{_DESCRIPTION}"""
-                    ),
-                    text_features={"word": "word"},
-                    machine_translation={'machine': 'machine_translation'},
-                    human_translation={'human': 'human_translation'},
-                    label_classes=["POSITIVE", "NEGATIVE"],
-                    label_column="label",
-                    hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
-                    ibo_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/igbo/mixed.csv",
-                    yor_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/yoruba/mixed.csv",
-                    citation=textwrap.dedent(
-                        f"""{_CITATION}"""
-                    ),
+    for lang in LANGUAGES:
+        BUILDER_CONFIGS.append(
+            NaijaLexiconsConfig(
+                name=lang,
+                description=textwrap.dedent(
+                    f"""{_DESCRIPTION}"""
                 ),
-            )
-        else:
-            BUILDER_CONFIGS.append(
-                NaijaLexiconsConfig(
-                    name=t,
-                    description=textwrap.dedent(
-                        f"""{_DESCRIPTION}"""
-                    ),
-                    text_features={"word": "word"},
-                    machine_translation={},
-                    human_translation={},
-                    label_classes=["POSITIVE", "NEGATIVE"],
-                    label_column="label",
-                    hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
-                    ibo_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/igbo/mixed.csv",
-                    yor_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/yoruba/mixed.csv",
-                    citation=textwrap.dedent(
-                        f"""{_CITATION}"""
-                    ),
+                text_features={"word": "word", 'machine': 'machine', 'human': 'human', 'emotion_intensity_score': 'emotion_intensity_score'},
+                label_classes=['positive', 'negative', 'surprise', 'fear', 'anticipation', 'anger', 'joy', 'trust', 'disgust', 'sadness'],
+                label_column="label",
+                manual_sentiment_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/lexicons/manual-sentiment/huggingface/{lang}.csv",
+                translated_sentiment_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/lexicons/translated-sentiment/huggingface/{lang}.csv",
+                translated_emotion_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/lexicons/translated-emotion/huggingface/{lang}.csv",
+                citation=textwrap.dedent(
+                    f"""{_CITATION}"""
                 ),
-            )
+            ),
+        )
 
     def _info(self):
         features = {text_feature: datasets.Value("string") for text_feature in self.config.text_features}
@@ -158,14 +130,14 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        hau_path = dl_manager.download_and_extract(self.config.hau_url)
-        ibo_path = dl_manager.download_and_extract(self.config.ibo_url)
-        yor_path = dl_manager.download_and_extract(self.config.yor_url)
+        manual_sentiment_path = dl_manager.download_and_extract(self.config.manual_sentiment_url)
+        translated_sentiment_path = dl_manager.download_and_extract(self.config.translated_sentiment_url)
+        translated_emotion_path = dl_manager.download_and_extract(self.config.translated_emotion_url)
         
         return [
-            datasets.SplitGenerator(name='hau', gen_kwargs={"filepath": hau_path}),
-            datasets.SplitGenerator(name='ibo', gen_kwargs={"filepath": ibo_path}),
-            datasets.SplitGenerator(name='yor', gen_kwargs={"filepath": yor_path})
+            datasets.SplitGenerator(name='manual-sentiment', gen_kwargs={"filepath": manual_sentiment_path}),
+            datasets.SplitGenerator(name='translated-sentiment', gen_kwargs={"filepath": translated_sentiment_path}),
+            datasets.SplitGenerator(name='translated-emotion', gen_kwargs={"filepath": translated_emotion_path})
         ]
 
     def _generate_examples(self, filepath):
@@ -175,17 +147,28 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
         print(df.head())
         print('-'*100)
 
-        if 'translated' in filepath:
+        if self.config.name == 'translated-sentiment':
             for id_, row in df.iterrows():
                 word = row["word"]
-                label = row["label"]
                 machine = row['machine']
                 human = row['human']
+                label = row["label"]
 
                 yield id_, {"word": word, 'machine_translation': machine, 'human_translation': human, "label": label}
+
+        elif self.config.name == 'manual-sentiment':
+            for id_, row in df.iterrows():
+                word = row["word"]
+                label = row["label"]
+
+                yield id_, {"word": word, "label": label}
+        
         else:
             for id_, row in df.iterrows():
                 word = row["word"]
+                machine = row['machine']
+                human = row['human']
                 label = row["label"]
+                emotion_intensity_score = row['emotion_intensity_score']
 
-                yield id_, {"word": word, "label": label}
+                yield id_, {"word": word, 'machine_translation': machine, 'human_translation': human, "label": label, 'emotion_intensity_score': emotion_intensity_score}