init

dataset_stats.py

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+import os
+import json
+from os.path import join as pj
+from glob import glob
+from statistics import mean
+
+import pandas as pd
+from datasets import load_dataset
+
+
+def count_word(text):
+    return len(text.split())
+
+
+if __name__ == '__main__':
+    data = ["chemprot", "citation_intent", "hyperpartisan_news", "rct-sample", "sciie"]
+    stats = {}
+    for d in data:
+        _data = load_dataset('', d)
+        stats[d] = {
+            'word/validation': mean([count_word(k['text']) for k in _data['validation']]),
+            'word/test': mean([count_word(k['text']) for k in _data['test']]),
+            'word/train': mean([count_word(k['text']) for k in _data['train']]),
+            'instance/dev': len(_data['validation']),
+            'instance/test': len(_data['test']),
+            'instance/train': len(_data['train'])
+        }
+    pd.DataFrame(stats).astype(int).to_csv('stats.csv')
+
+

stats.csv

@@ -0,0 +1,7 @@
+,chemprot,citation_intent,hyperpartisan_news,rct-sample,sciie
+word/validation,32,40,502,26,32
+word/test,32,42,612,26,32
+word/train,31,42,536,26,32
+instance/dev,2427,114,64,30212,455
+instance/test,3469,139,65,30135,974
+instance/train,4169,1688,516,500,3219