Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -12,6 +12,112 @@ task_categories:
 task_ids:
 - sentiment-classification
 pretty_name: TweetTopicSingle
+dataset_info:
+  config_name: tweet_topic_multi
+  features:
+  - name: text
+    dtype: string
+  - name: date
+    dtype: string
+  - name: label
+    sequence:
+      class_label:
+        names:
+          '0': arts_&_culture
+          '1': business_&_entrepreneurs
+          '2': celebrity_&_pop_culture
+          '3': diaries_&_daily_life
+          '4': family
+          '5': fashion_&_style
+          '6': film_tv_&_video
+          '7': fitness_&_health
+          '8': food_&_dining
+          '9': gaming
+          '10': learning_&_educational
+          '11': music
+          '12': news_&_social_concern
+          '13': other_hobbies
+          '14': relationships
+          '15': science_&_technology
+          '16': sports
+          '17': travel_&_adventure
+          '18': youth_&_student_life
+  - name: label_name
+    sequence: string
+  - name: id
+    dtype: string
+  splits:
+  - name: test_2020
+    num_bytes: 231142
+    num_examples: 573
+  - name: test_2021
+    num_bytes: 666444
+    num_examples: 1679
+  - name: train_2020
+    num_bytes: 1864206
+    num_examples: 4585
+  - name: train_2021
+    num_bytes: 595183
+    num_examples: 1505
+  - name: train_all
+    num_bytes: 2459389
+    num_examples: 6090
+  - name: validation_2020
+    num_bytes: 233321
+    num_examples: 573
+  - name: validation_2021
+    num_bytes: 73135
+    num_examples: 188
+  - name: train_random
+    num_bytes: 1860509
+    num_examples: 4564
+  - name: validation_random
+    num_bytes: 233541
+    num_examples: 573
+  - name: test_coling2022_random
+    num_bytes: 2250137
+    num_examples: 5536
+  - name: train_coling2022_random
+    num_bytes: 2326257
+    num_examples: 5731
+  - name: test_coling2022
+    num_bytes: 2247725
+    num_examples: 5536
+  - name: train_coling2022
+    num_bytes: 2328669
+    num_examples: 5731
+  download_size: 6377923
+  dataset_size: 17369658
+configs:
+- config_name: tweet_topic_multi
+  data_files:
+  - split: test_2020
+    path: tweet_topic_multi/test_2020-*
+  - split: test_2021
+    path: tweet_topic_multi/test_2021-*
+  - split: train_2020
+    path: tweet_topic_multi/train_2020-*
+  - split: train_2021
+    path: tweet_topic_multi/train_2021-*
+  - split: train_all
+    path: tweet_topic_multi/train_all-*
+  - split: validation_2020
+    path: tweet_topic_multi/validation_2020-*
+  - split: validation_2021
+    path: tweet_topic_multi/validation_2021-*
+  - split: train_random
+    path: tweet_topic_multi/train_random-*
+  - split: validation_random
+    path: tweet_topic_multi/validation_random-*
+  - split: test_coling2022_random
+    path: tweet_topic_multi/test_coling2022_random-*
+  - split: train_coling2022_random
+    path: tweet_topic_multi/train_coling2022_random-*
+  - split: test_coling2022
+    path: tweet_topic_multi/test_coling2022-*
+  - split: train_coling2022
+    path: tweet_topic_multi/train_coling2022-*
+  default: true
 ---
 
 # Dataset Card for "cardiffnlp/tweet_topic_multi"

tweet_topic_multi/test_2020-00000-of-00001.parquet

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+size 88420

tweet_topic_multi/test_2021-00000-of-00001.parquet

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tweet_topic_multi/test_coling2022-00000-of-00001.parquet

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tweet_topic_multi/train_2020-00000-of-00001.parquet

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tweet_topic_multi/train_all-00000-of-00001.parquet

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