Update README.md

README.md

@@ -4,22 +4,24 @@ dataset_info:
   features:
   - name: summary
     dtype: string
+  - name: url
+    dtype: string
+  - name: date_publish
+    dtype: timestamp[us]
   - name: article_title
     dtype: string
+  - name: id
+    dtype: string
   - name: article_domain
     dtype: string
+  - name: abstractiveness_bin
+    dtype: string
   - name: cluster_id
     dtype: string
   - name: summary_id
     dtype: string
   - name: article_id
     dtype: string
-  - name: url
-    dtype: string
-  - name: abstractiveness_bin
-    dtype: string
-  - name: id
-    dtype: string
   - name: summary_domain
     dtype: string
   - name: summary_word_count
@@ -54,8 +56,6 @@ dataset_info:
     dtype: float64
   - name: lcsr
     dtype: float64
-  - name: date_publish
-    dtype: timestamp[us]
   splits:
   - name: train
     num_bytes: 1050376245
@@ -80,10 +80,8 @@ configs:
 ---
 ## Dataset Card for CCSum [summary-only]
 
-We release the meta data containing article url, title, summary (median length: 30 words), published date, id derived from sha2(maintext, 256).
-The articles can be downloaded based on the urls.
-
-Please reach out to us if you encounter issues with downloading the dataset.
+We release the meta data containing article url, title, summary (median length: 30 words), published date, id derived from sha2(maintext, 256), and other meta data associated with the CCSum dataset.
+Please download the articles based on the urls, and reach out to us if you encounter any issue with using the dataset.
 
 ## Dataset Summary
 CCSum is a large-scale and high-quality dataset for abstractive news summarization.