added stats to README

README.md

@@ -5,6 +5,25 @@ task_categories:
 language:
 - en
 pretty_name: ProofLang Corpus
+dataset_info:
+  - config_name: proofs
+    features:
+      - name: fileID
+        dtype: string
+      - name: proof
+        dtype: string
+   num_bytes: 3197091800
+   num_examples: 3681901
+   
+  - config_name: sentences
+    features:
+      - name: fileID
+        dtype: string
+      - name: sentence
+        dtype: string
+   num_bytes: 3736579062
+   num_examples: 38899130
+
 ---
 # Dataset Card for the ProofLang Corpus
 
@@ -25,7 +44,19 @@ There are two versions of the data: `proofs` divides up the data proof-by-proof,
 
 * The data in `sentences` consists of a `fileID` that specifies the paper where the sentence occurred, and the `sentence` as a string.
 
-## Dataset usage
+## Dataset Size
+
+* `proofs` is 3197091800 bytes and has 3681901 examples.
+
+* `sentences` is 3736579062 bytes and has 38899130 examples.
+
+## Dataset Statistics
+
+* The average length of `sentences` is 14.064921040650523 words.
+
+* The average length of `proofs` is 10.535469856468167 sentences.
+
+## Dataset Usage
 
 Data can be downloaded as TSV files. Accessing the data programmatically from Python is also possible using the `Datasets` library. For example, to print the first 10 proofs:
 
@@ -43,6 +74,7 @@ To look at individual sentences from the proofs, `'proofs'` and `d['proof']` by
 
 There is currently no train/test split; all the data is in `train`.
 
+
 ## Dataset Creation
 
 We started with the LaTeX source of 1.6M papers that were submitted to [arXiv.org](https://arXiv.org) between 1992 and April 2022.