Remove en-gr/pt-gr from dataset card

README.md

@@ -11,7 +11,6 @@ language:
   - zh
   - gr
   - la
-  - pt
   - cs
 multilinguality: multilingual
 task_categories:
@@ -55,20 +54,6 @@ configs:
       - split: test
         path: documents/la-gr/test.json
 
-  - config_name: en-gr
-    data_files:
-      - split: dev
-        path: documents/en-gr/dev.json
-      - split: test
-        path: documents/en-gr/test.json
-
-  - config_name: pt-gr
-    data_files:
-      - split: dev
-        path: documents/pt-gr/dev.json
-      - split: test
-        path: documents/pt-gr/test.json
-
   - config_name: en-cz
     data_files:
       - split: test
@@ -77,7 +62,7 @@ configs:
 
 # Document-Level Word Alignment
 
-Document-level word alignment data for eight language pairs — English–French (en-fr), English–Romanian (en-ro), English–Japanese (en-ja), English–Chinese (en-zh), Latin–Ancient Greek (la-gr), English–Ancient Greek (en-gr), Portuguese–Ancient Greek (pt-gr), and English–Czech (en-cz) — reconstructed from existing sentence-level, human-annotated word alignment gold standards.
+Document-level word alignment data for six language pairs — English–French (en-fr), English–Romanian (en-ro), English–Japanese (en-ja), English–Chinese (en-zh), Latin–Ancient Greek (la-gr), and English–Czech (en-cz) — reconstructed from existing sentence-level, human-annotated word alignment gold standards.
 
 Document-level examples are built by grouping sentence-level annotations by document membership and sentence order; the dataset does not contain new human annotation beyond what already exists in the source corpora (see [Sources & Licensing](#sources--licensing)).
 This dataset accompanies the paper *"Scaling Unsupervised Word Alignment to Documents with Structural Constraints"* (\[citation TODO\]).
@@ -127,13 +112,11 @@ This is a derived/reconstructed dataset. Each language pair originates from a se
 | Lang pair | Source | License |
 |---|---|---|
 | en-ja | [Neubig (2011)](https://www.phontron.com/kftt) | CC BY-SA 3.0 |
-| la-gr, en-gr, pt-gr\* | [Yousef et al. (2022)](https://aclanthology.org/2022.lrec-1.634/) | CC BY-SA 4.0 |
+| la-gr | [Yousef et al. (2022)](https://aclanthology.org/2022.lrec-1.634/) | CC BY-SA 4.0 |
 | en-fr, en-ro | [Mihalcea & Pedersen (2003)](https://aclanthology.org/W03-0301/) | Not specified by the source |
 | en-zh | [Liu and Sun (2015)](https://nlp.csai.tsinghua.edu.cn/~ly/systems/TsinghuaAligner/TsinghuaAligner.html) | Not specified by the source |
 | en-cz | [Mareček (2011)](https://ufal.mff.cuni.cz/czech-english-manual-word-alignment) | CC BY-SA 4.0 |
 
-\* `en-gr` and `pt-gr` are included in the raw data but excluded from the paper's evaluation; included here for completeness.
-
 ## Dataset Creation
 
 Document-level examples were constructed by concatenating sentence-level source/target texts within a document in their original order and re-indexing `sure_align`/`possible_align` accordingly.