Update README.md (#2)

- Update README.md (e502fe79c0ec32a5a218710d5072d131d5552c12)

README.md

@@ -17,9 +17,11 @@ source_datasets:
 - original
 task_categories:
 - text-classification
+- text-generation
 task_ids:
 - multi-class-classification
-- sentiment-classification
+- language-modeling
+- masked-language-modeling
 ---
 [Needs More Information]
 
@@ -51,7 +53,7 @@ task_ids:
 ## Dataset Description
 
 - **Homepage:** https://www.dhi.ac.uk/projects/old-bailey/
-- **Repository:** https://www.dhi.ac.uk/san/data/oldbailey/oldbailey.zip
+- **Repository:** https://www.dhi.ac.uk/san/data/oldbailey/
 - **Paper:** [Needs More Information]
 - **Leaderboard:** [Needs More Information]
 - **Point of Contact:** The University of Sheffield
@@ -61,12 +63,16 @@ Sheffield S3 7QY
 
 ### Dataset Summary
 
+**Note** We are making this dataset available via the HuggingFace hub to open it up to more users and use cases. We have focused primarily on making an initial version of this dataset available, focusing on some potential use cases. If you think there are other configurations this dataset should support, please use the community tab to open an issue. 
+
 The dataset consists of 2,163 transcriptions of the Proceedings and 475 Ordinary's Accounts marked up in TEI-XML, and contains some documentation covering the data structure and variables. Each Proceedings file represents one session of the court (1674-1913), and each Ordinary's Account file represents a single pamphlet (1676-1772).
 
 ### Supported Tasks and Leaderboards
 
+- `language-modeling`: This dataset can be used to contribute to the training or evaluation of language models for historical texts. Since it represents transcription from court proceedings, the language in this dataset may better represent the variety of language used at the time.
 - `text-classification`: This dataset can be used to classify what style of English some text is in
-- `named-entity-recognition`: Some of the text contains names of people and places which can be used for NER in older style texts
+- `named-entity-recognition`: Some of the text contains names of people and places. We don't currently provide the token IDs for these entities but do provide the tokens themselves. This means this dataset has the potential to be used to evaluate the performance of other Named Entity Recognition models on this dataset. 
+
 
 ### Languages
 
@@ -76,7 +82,9 @@ The dataset consists of 2,163 transcriptions of the Proceedings and 475 Ordinary
 
 ### Data Instances
 
-```
+An example of one instance from the dataset: 
+
+```python
 {
 'id': 'OA16760517', 
 'text': "THE CONFESSION AND EXECUTION Of the Prisoners at TYBURN On Wednesday the 17May1676. Viz. Henry Seabrook , Elizabeth Longman Robert Scot , Condemned the former Sessions. Edward Wall , and Edward Russell . Giving a full 
@@ -93,32 +101,33 @@ sad Scene of their deplorable Tragedy. Being come to the Gallows, and the usual
 
 ### Data Fields
 
-- `id`: A unique identifier for the data point
-- `text`: The text of the data point
+- `id`: A unique identifier for the data point (in this case, a trial)
+- `text`: The text of the proceeding
 - `places`: The places mentioned in the text
 - `type`: This can be either 'OA' or 'OBP'. OA is "Ordinary's Accounts" and OBP is "Sessions Proceedings"
 - `persons`: The persons named in the text
 - `date`: The date of the text
 
 ### Data Splits
+This dataset only contains a single split:
 
-Train: 2638
+Train: `2638` examples
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-Between 1674 and 1913 the Proceedings of the Central Criminal Court in London, the Old Bailey, were published eight times a year. These records detail some 197,000 individual trials and contain 127 million words recorded in 182,000 pages. They represent the largest single source of information about non-elite lives and behaviour ever published, and provide a wealth of detail about everyday life, as well as valuable systematic evidence of the circumstances surrounding the crimes and lives of victims and the accused, and their trial outcomes. This project created a fully digitised and structured version of all surviving published trial accounts between 1674 and 1913, and made them available as a searchable online resource.
+Between 1674 and 1913 the Proceedings of the Central Criminal Court in London, the Old Bailey, were published eight times a year. These records detail 197,000 individual trials and contain 127 million words in 182,000 pages. They represent the largest single source of information about non-elite lives and behaviour ever published and provide a wealth of detail about everyday life, as well as valuable systematic evidence of the circumstances surrounding the crimes and lives of victims and the accused, and their trial outcomes. This project created a fully digitised and structured version of all surviving published trial accounts between 1674 and 1913, and made them available as a searchable online resource.
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-Starting with microfilms of the original Proceedings and Ordinary's Accounts, page images were scanned to create high definition, 400dpi TIFF files, from which GIF and JPEG files have been created for transmission over the internet. The uncompressed TIFF files will be preserved for archival purposes, and should eventually be accessible over the web once data transmission speeds improve. A GIF format has been used to transmit image files for the Proceedings published between 1674 and 1834. 
+Starting with microfilms of the original Proceedings and Ordinary's Accounts, page images were scanned to create high definition, 400dpi TIFF files, from which GIF and JPEG files have been created for transmission over the internet. The uncompressed TIFF files will be preserved for archival purposes and should eventually be accessible over the web once data transmission speeds improve. A GIF format has been used to transmit image files for the Proceedings published between 1674 and 1834. 
 
 #### Who are the source language producers?
 
-The text of the 1674 to October 1834 Proceedings was manually typed by the process known as "double rekeying", whereby the text is typed in twice, by two different typists, and then the two transcriptions are compared by computer. Differences are identified and then resolved manually. This process was also used to create a transcription of the Ordinary's Accounts.
+The text of the 1674 to October 1834 Proceedings was manually typed by the process known as "double rekeying", whereby the text is typed in twice, by two different typists. Then the two transcriptions are compared by computer. Differences are identified and then resolved manually. This process was also used to create a transcription of the Ordinary's Accounts. This process means this text data contains fewer errors than many historical text corpora produced using Optical Character Recognition. 
 
 ### Annotations