deascribe Processing Steps

README.md

@@ -11,6 +11,22 @@ size_categories:
 - n<1K
 ---
 
+# NLU Few-shot Benchmark - English and German
+
+## Processing Steps
+- drop `NaN` values
+- drop duplicates in `answer_de`
+- add `char_count` column
+- delete all rows with `char_count` > 70
+- add column `label`: `df["label"] = df["scenario"] + "_" + df["intent"]`
+- remove classes (`label`) with less than 25 samples:
+  - `audio_volume_other`
+  - `cooking_query`
+  - `general_greet`
+  - `music_dislikeness`
+- random selection for train set - exactly 20 samples for each class (`label`)
+- rest for test set
+
 ## Copyright
 Copyright (c) the authors of [xliuhw/NLU-Evaluation-Data](https://github.com/xliuhw/NLU-Evaluation-Data)\
 Copyright (c) 2022 [Philip May](https://may.la/), [Deutsche Telekom AG](https://www.telekom.com/)