init

training_scripts/script.sh

@@ -1,11 +1,11 @@
 
 # TweetTopic
-python finetune_t5.py --dataset-name en_2022 --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp
+python finetune_t5.py --dataset-name en_2022 --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
 
-python finetune_t5.py --dataset-name es --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-es --model-organization cardiffnlp
-python finetune_t5.py --dataset-name en --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en --model-organization cardiffnlp
+python finetune_t5.py --dataset-name es --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-es --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py --dataset-name en --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en --model-organization cardiffnlp --use-auth-token
 
-python finetune_t5.py --dataset-name ja --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-ja --model-organization cardiffnlp
-python finetune_t5.py --dataset-name gr --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-gr --model-organization cardiffnlp
+python finetune_t5.py --dataset-name ja --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-ja --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py --dataset-name gr --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-gr --model-organization cardiffnlp --use-auth-token
 
 

tweet_topic_multilingual.py

@@ -1,10 +1,12 @@
 """ TweetTopicMultilingual Dataset """
 import json
+from typing import List, Union
+
 import datasets
 
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """[TweetTopicMultilingual](TBA)"""
-_VERSION = "0.0.3"
+_VERSION = "0.0.5"
 _CITATION = """TBA"""
 _HOME_PAGE = "https://cardiffnlp.github.io"
 _NAME = "tweet_topic_multilingual"
@@ -102,6 +104,7 @@ _URL = {}
 for lan in _LANGUAGES:
     _URL[lan] = {split: f"{_ROOT_URL}/{lan}/{lan}_{split}.jsonl" for split in ["train", "test", "validation"]}
 _URL["en_2022"] = {split: f"{_ROOT_URL}/en_2022/{split}.jsonl" for split in ["train", "validation"]}
+_URL["mix"] = {split: [f"{_ROOT_URL}/{lan}/{split}.jsonl" for lan in _LANGUAGES] for split in ["train", "validation"]}
 # cross validation
 for lan in _LANGUAGES:
     _URL.update({
@@ -136,14 +139,17 @@ class TweetTopicMultilingual(datasets.GeneratorBasedBuilder):
         splits = _URL[self.config.name].keys()
         return [datasets.SplitGenerator(name=i, gen_kwargs={"filepath": downloaded_file[i]}) for i in splits]
 
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, filepath: Union[str, List[str]]):
         _key = 0
-        logger.info("generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            _list = [json.loads(i) for i in f.read().split("\n") if len(i) > 0]
-            for i in _list:
-                yield _key, i
-                _key += 1
+        if type(filepath) is not List:
+            filepath = [filepath]
+        for i in filepath:
+            logger.info("generating examples from = %s", i)
+            with open(i, encoding="utf-8") as f:
+                _list = [json.loads(i) for i in f.read().split("\n") if len(i) > 0]
+                for i in _list:
+                    yield _key, i
+                    _key += 1
 
     def _info(self):
         return datasets.DatasetInfo(