Update tweet_sentiment_multilingual.py

tweet_sentiment_multilingual.py

@@ -26,8 +26,9 @@ _HOMEPAGE = "https://github.com/cardiffnlp/xlm-t"
 _BASE_URL = "https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual/resolve/main/data"
 _LANGUAGE = ["arabic", "english", "french", "german", "hindi", "italian", "portuguese", "spanish"]
 _URLS = {l: {
-    k: f'{_BASE_URL}/{l}/{k}.jsonl' for k in [str(datasets.Split.TEST), str(datasets.Split.TRAIN), str(datasets.Split.VALIDATION)]
+    k: [f'{_BASE_URL}/{l}/{k}.jsonl'] for k in [str(datasets.Split.TEST), str(datasets.Split.TRAIN), str(datasets.Split.VALIDATION)]
 } for l in _LANGUAGE}
+_URLS['all'] = {k: [f'{_BASE_URL}/{l}/{k}.jsonl' for l in _LANGUAGE] for k in [str(datasets.Split.TEST), str(datasets.Split.TRAIN), str(datasets.Split.VALIDATION)]}
 
 
 class TweetSentimentMultilingualConfig(datasets.BuilderConfig):
@@ -65,15 +66,16 @@ class TweetSentimentMultilingual(datasets.GeneratorBasedBuilder):
         return [datasets.SplitGenerator(name=i, gen_kwargs={"filepath": downloaded_file[str(i)]})
                 for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
 
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, filepaths):
         """This function returns the examples in the raw (text) form."""
         _key = 0
-        logger.info("generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            _list = f.read().split('\n')
-            if _list[-1] == '':
-                _list = _list[:-1]
-            for i in _list:
-                data = json.loads(i)
-                yield _key, data
-                _key += 1
+        for filepath in filepaths:
+            logger.info("generating examples from = %s", filepath)
+            with open(filepath, encoding="utf-8") as f:
+                _list = f.read().split('\n')
+                if _list[-1] == '':
+                    _list = _list[:-1]
+                for i in _list:
+                    data = json.loads(i)
+                    yield _key, data
+                    _key += 1