rename columns in datasets page

data/datasets_stats.parquet

@@ -1,3 +1,3 @@
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+oid sha256:d29503a4d21900efee07467178c2fef4dfa625810464a141298d45757e6b5e8f
+size 38087

pages/2_Dataset_Statistics_&_citation_export.py

@@ -41,17 +41,17 @@ You can use the **'Add filters'** checkbox to filter the table by any of the col
 You can also use the 'Export citations' button to export the citations for the datasets in the filtered table.  
 
 Column descriptions:
-- **original_dataset**: Original dataset name as used in the MMS corpus,
-- **language**: 2-letter language code,
-- **domain**: Domain of the dataset,
-- **mean_chars**: The average number of characters in a single example,
-- **mean_words**: The average number of words in a single example,
-- **examples_sum**: The total number of examples in the dataset,
-- **NEG**: Number of examples with negative sentiment,
-- **NEU**: Number of examples with neutral sentiment,
-- **POS**: Number of examples with positive sentiment,
-- **paper**: Link to the paper in which the dataset was originally published,
-- **citation**: Citation for the dataset,""")
+- **Original Dataset**: Original dataset name as used in the MMS corpus,
+- **Language**: 2-letter language code,
+- **Domain**: Domain of the dataset,
+- **Characters**: The average number of characters in a single example,
+- **Words**: The average number of words in a single example,
+- **Examples**: The total number of examples in the dataset,
+- **Negative**: Percentage of examples with negative sentiment,
+- **Neutral**: Percentage of examples with neutral sentiment,
+- **Positive**: Percentage of examples with positive sentiment,
+- **Paper**: Link to the paper in which the dataset was originally published,
+- **Citation**: Citation for the dataset,""")
 
 df = get_language_stats_df()