Attempting to update to read xlsx file

temp_africaNLP_keyword_spotting_for_african_languages.py

@@ -1,3 +1,7 @@
+# Testing how to load rarfile from Zenodo. 
+# https://github.com/huggingface/datasets/blob/dfdd2f949c1840926c02ae47f0f0c43083ef0b1f/datasets/common_voice/common_voice.py#L661 provided some inspiration
+# also https://huggingface.co/docs/datasets/master/dataset_script.html
+
 # coding=utf-8
 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
 #
@@ -19,6 +23,7 @@ import csv
 import json
 import os
 import rarfile
+import pandas as pd
 
 import datasets
 
@@ -129,10 +134,11 @@ class TempAfricaNLPKeywordSpottingForAfricanLanguages(datasets.GeneratorBasedBui
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "filepath": os.path.join(data_dir, "clips.xlsx"),
                     "split": "train",
                 },
             ),
+            """
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
@@ -149,6 +155,7 @@ class TempAfricaNLPKeywordSpottingForAfricanLanguages(datasets.GeneratorBasedBui
                     "split": "dev",
                 },
             ),
+            """
         ]
 
     def _generate_examples(
@@ -157,19 +164,13 @@ class TempAfricaNLPKeywordSpottingForAfricanLanguages(datasets.GeneratorBasedBui
         """ Yields examples as (key, example) tuples. """
         # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is here for legacy reason (tfds) and is not important in itself.
-
+        clips_df= pd.read_excel(filepath)
         with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
-                if self.config.name == "first_domain":
-                    yield id_, {
-                        "sentence": data["sentence"],
-                        "option1": data["option1"],
-                        "answer": "" if split == "test" else data["answer"],
-                    }
-                else:
+            for id_, row in clips_df.iterrows()
+                data = row
+                bucket = row["bucket"]
+                if bucket == split:
                     yield id_, {
                         "sentence": data["sentence"],
-                        "option2": data["option2"],
-                        "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
-                    }
+                        "path": data["path"],
+                    }