Multiple updates

NaijaSenti-Twitter.py

@@ -49,7 +49,6 @@ _CITATION = """\
 """
 
 
-import csv
 import textwrap
 import pandas as pd
 
@@ -105,8 +104,7 @@ class NaijaSenti(datasets.GeneratorBasedBuilder):
             NaijaSentiConfig(
                 name=lang,
                 description=textwrap.dedent(
-                    f"""\
-                    {lang} dataset."""
+                    f"""{_DESCRIPTION}"""
                 ),
                 text_features={"tweet": "tweet"},
                 label_classes=["positive", "neutral", "negative"],
@@ -115,8 +113,7 @@ class NaijaSenti(datasets.GeneratorBasedBuilder):
                 valid_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/annotated_tweets/{lang}/dev.tsv",
                 test_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/annotated_tweets/{lang}/test.tsv",
                 citation=textwrap.dedent(
-                    f"""\
-                    {lang} citation"""
+                    f"""{_CITATION}"""
                 ),
             ),
         )

README.md

@@ -21,7 +21,7 @@ language:
 - ibo
 - pcm
 - yor
-pretty_name: AfriSenti
+pretty_name: NaijaSenti
 ---
 
 <p align="center">
@@ -102,7 +102,7 @@ The NaijaSenti dataset has 3 splits: train, validation, and test. Below are the
 ```python
 from  datasets  import  load_dataset
 
-# you can load specific languages (e.g., Amharic). This download train, validation and test sets. 
+# you can load specific languages (e.g., Hausa). This download train, validation and test sets. 
 ds = load_dataset("HausaNLP/NaijaSenti-Twitter", "hau")
 
 # train set only