Update README.md

README.md

@@ -42,17 +42,25 @@ We hope it can serve as an aid in the development of language-based proof assist
 
 ## Dataset Structure
 
-There are two versions of the data: `proofs` divides up the data proof-by-proof, and `sentences` further divides up the same data sentence-by-sentence.
+There are multiple TSV versions of the data. Primarily, `proofs` divides up the data proof-by-proof, and `sentences` further divides up the same data sentence-by-sentence.
+The `raw` dataset is a less-cleaned-up version of `proofs`. More usefully, the `tags` dataset gives arXiv subject tags for each paper ID found in the other data files.
 
-* The data in `proofs` consists of a `fileID` that specifies the paper where the proof was extracted, and the `proof` as a string.
+* The data in `proofs` (and `raw`) consists of a `paper` ID (identifying where the proof was extracted from), and the `proof` as a string.
 
-* The data in `sentences` consists of a `fileID` that specifies the paper where the sentence occurred, and the `sentence` as a string.
+* The data in `sentences` consists of a `paper` ID, and the `sentence` as a string.
 
-## Dataset Size
+* The data in `tags` consists of a `paper` ID, and the arXiv subject tags for that paper as a single comma-separated string.
+
+Further metadata about papers can be queried from arXiv.org using the paper ID.
 
-* `proofs` is 3197091800 bytes and has 3681901 examples.
+In particular, each paper `<id>` in the dataset can be accessed online at the url `https://arxiv.org/abs/<id>`
 
-* `sentences` is 3736579062 bytes and has 38899130 examples.
+## Dataset Size
+
+* `proofs` is 3,094,779,182 bytes (unzipped) and has 3,681,893 examples.
+* `sentences` is 3,545,309,822 bytes (unzipped) and has 38,899,132 examples.
+* `tags` is 7,967,839 bytes (unzipped) and has 328,642 rows.
+* `raw` is 3,178,997,379 bytes (unzipped) and has 3,681,903 examples.
 
 ## Dataset Statistics
 
@@ -62,16 +70,41 @@ There are two versions of the data: `proofs` divides up the data proof-by-proof,
 
 ## 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:
+Data can be downloaded as (zipped) TSV files. 
+
+Accessing the data programmatically from Python is also possible using the `Datasets` library. 
+For example, to print the first 10 proofs:
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset('proofcheck/prooflang', 'proofs', split='train', streaming=`True`)
+dataset = load_dataset('proofcheck/prooflang', 'proofs', split='train', streaming='True')
+for d in dataset.take(10):
+   print(d['paper'], d['proof'])
+```
+
+To look at individual sentences from the proofs, 
+
+```python
+dataset = load_dataset('proofcheck/prooflang', 'proofs', split='train', streaming='True')
 for d in dataset.take(10):
-   print(d['fileID'], d['proof'])
+   print(d['paper'], d['sentence'])
 ```
 
-To look at individual sentences from the proofs, `'proofs'` and `d['proof']` by `sentences` and `d['sentence']` .
+To get a comma-separated list of arXiv subject tags for each paper,
+```python
+from datasets import load_dataset
+dataset = load_dataset('proofcheck/prooflang', 'tags', split='train', streaming='True')
+for d in dataset.take(10):
+   print(d['paper'], d['tags'])
+```
+
+Finally, to look at a version of the proofs with less aggressive cleanup (straight from the LaTeX extraction),
+
+```python
+dataset = load_dataset('proofcheck/prooflang', 'raw', split='train', streaming='True')
+for d in dataset.take(10):
+   print(d['paper'], d['proof'])
+```
 
 
 ### Data Splits