Update README.md

README.md

@@ -39,16 +39,11 @@ dataset_info:
       dtype: string
   splits:
     - name: train
-      num_bytes: [TODO]
       num_examples: 2067
     - name: validation
-      num_bytes: [TODO]
       num_examples: 661
     - name: test
-      num_bytes: [TODO]
       num_examples: 641
-  download_size: [TODO]
-  dataset_size: [TODO]
 ---
 
 # Dataset Card
@@ -62,7 +57,7 @@ This is a dataset for line-level handwritten text recognition of medieval manusc
 - **Curated by:** [Computational Social Sciences and Humanities Laboratory (CSSH)](https://www.bsc.es/discover-bsc/organisation/scientific-structure/cssh) at the [Barcelona Supercomputing Center (BSC)](https://www.bsc.es/), and, in particular, by the [Computational Archival History](https://www.bsc.es/research-development/research-areas/social-simulation/computational-archival-history) research line, with support from the [Data Infrastructure, Models, and Methods](https://www.bsc.es/discover-bsc/organisation/research-structure/data-infrastructures-methods-and-models) group.
 - **Languages:** Catalan (`ca-CA`) and Latin (`la-LA`). The manuscripts are written primarily in Medieval Latin, but there is a strong linguistic influence from the vernacular Catalan language, both lexically (through loanwords and expressions) and syntactically (e.g., mirroring Catalan word order). In addition, Catalan is used instead of Latin in verbatim statements or utterances, and in specific documents.
 - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
-- **Repositories:** [BSC Dataverse](https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/0VB0MC) (original dataset), [HuggingFace](TODO) (derived dataset), and [HTR-Catalog](TODO) (dataset record).
+- **Repositories:** [BSC Dataverse](https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/0VB0MC) (original dataset), [HuggingFace](https://huggingface.co/datasets/BSC-CSSH/AMSMB-line-transcription) (derived dataset), and HTR-Catalog (coming soon) (dataset record).
 
 ### Composition
 The [original dataset](https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/0VB0MC) consists of 100 images (digitized medieval charters written on parchment) and their associated 100 PageXML files. The dataset is split into train (60 documents), validation (20 documents), and test (20 documents). This derived dataset is comprised of 3,369 lines, each consisting of the polygon-shaped image of the line, its transcription, and associated metadata.
@@ -74,13 +69,13 @@ The `train` split consists of 2,067 rows; the `validation` split, of 661 rows; a
 - `id` (`string`): the line identifier.
 - `text` (`string`): the transcription of the line.
 - `image` (`image`): the polygon-shaped image of the line.
+- `reference` (`string`): the reference of the image, which consists of the acronym of the archive ("AMSMB") and the signature of the manuscript (e.g., `AMSMB_1-1-17`).
 - `line_type` (`string`): type of line, either "DefaultLine" or "InterlinearLine".
 - `region_type` (`string`): type of region containing the line, either "MainZone" or "MarginZone".
-- `reference` (`string`): the reference of the image, which consists of the acronym of the archive ("AMSMB") and the signature of the manuscript (e.g., `AMSMB_1-1-17`).
-- `year` (`int32`): the year when the manuscript was written.
-- `century` (`int32`): the century when the manuscript was written.
-- `hand`: the hand, i.e., the scrivener or notary who wrote the manuscript.
-- `document_type`: type of document (e.g., oath, grant of rights, pledge).
+- `year` (`string`): the year when the manuscript was written.
+- `century` (`string`): the century when the manuscript was written.
+- `hand` (string): the hand, i.e., the scrivener or notary who wrote the manuscript.
+- `document_type (string)`: type of document (e.g., oath, grant of rights, pledge, etc).
 
 The following table summarizes the dataset:
 
@@ -146,11 +141,11 @@ The original dataset is described in the paper:
   title={Evaluating Handwritten Text Recognition in Medieval Notarial Manuscripts: a New Dataset and Comprehensive Analysis},
   booktitle={International Conference on Document Analysis and Recognition},
   author={Coll Ardanuy, Mariona and Berganzo-Besga, Iban and Sarobe, Ramon and Cuadrada, Coral},
-  year={2025}
+  year={2025 (forthcoming)}
 }
 ```
 
-> Coll Ardanuy, M., Berganzo-Besga, I., Sarobe, R., & Cuadrada, C. (2025). Evaluating Handwritten Text Recognition in Medieval Notarial Manuscripts: A New Dataset and Comprehensive Analysis. International Conference on Document Analysis and Recognition. ICDAR2025.
+> Coll Ardanuy, M., Berganzo-Besga, I., Sarobe, R., & Cuadrada, C. (2025, forthcoming). Evaluating Handwritten Text Recognition in Medieval Notarial Manuscripts: A New Dataset and Comprehensive Analysis. International Conference on Document Analysis and Recognition. ICDAR2025.
 
 ## Acknowledgements