Update README.md

README.md

@@ -79,43 +79,17 @@ Use a hyphenated pairing to get two langauges in one datapoint (e.g., "eng_Latn-
 
 ## Dataset Structure
 ### Data Instances
-A sample from the `dev` split for the Russian language (`ukr_Cyrl` config) is provided below. All configurations have the same structure, and all sentences are aligned across configurations and splits.
-```python
-{
-	'id': 1,
-	'sentence': 'У понеділок, науковці зі Школи медицини Стенфордського університету оголосили про винайдення нового діагностичного інструменту, що може сортувати клітини за їх видами: це малесенький друкований чіп, який можна виготовити за допомогою стандартних променевих принтерів десь по одному центу США за штуку.',
-	'URL': 'https://en.wikinews.org/wiki/Scientists_say_new_medical_diagnostic_chip_can_sort_cells_anywhere_with_an_inkjet',
-	'domain': 'wikinews',
-	'topic': 'health',
-	'has_image': 0,
-	'has_hyperlink': 0
-}
-```
-When using a hyphenated pairing or using the `all` function, data will be presented as follows:
-
-```python
-{
-    'id': 1, 
-    'URL': 'https://en.wikinews.org/wiki/Scientists_say_new_medical_diagnostic_chip_can_sort_cells_anywhere_with_an_inkjet', 
-    'domain': 'wikinews', 
-    'topic': 'health', 
-    'has_image': 0, 
-    'has_hyperlink': 0, 
-    'sentence_eng_Latn': 'On Monday, scientists from the Stanford University School of Medicine announced the invention of a new diagnostic tool that can sort cells by type: a tiny printable chip that can be manufactured using standard inkjet printers for possibly about one U.S. cent each.', 
-    'sentence_ukr_Cyrl': 'У понеділок, науковці зі Школи медицини Стенфордського університету оголосили про винайдення нового діагностичного інструменту, що може сортувати клітини за їх видами: це малесенький друкований чіп, який можна виготовити за допомогою стандартних променевих принтерів десь по одному центу США за штуку.'
-}
-```
 
+See Dataset Viewer.
 
 The text is provided as-in the original dataset, without further preprocessing or tokenization.
+
 ### Data Fields
 - `id`: Row number for the data entry, starting at 1.
 - `sentence`: The full sentence in the specific language (may have _lang for pairings)
-- `URL`: The URL for the English article from which the sentence was extracted.
 - `domain`: The domain of the sentence.
-- `topic`: The topic of the sentence.
-- `has_image`: Whether the  original article contains an image.
-- `has_hyperlink`: Whether the  sentence contains a hyperlink.
+
+
 ### Data Splits
 |            config| `dev`| `devtest`|
 |-----------------:|-----:|---------:|
@@ -127,8 +101,10 @@ Please refer to the original article [No Language Left Behind: Scaling Human-Cen
 See paper for details.
 ### Licensing Information
 Licensed with Creative Commons Attribution Share Alike 4.0. License available [here](https://creativecommons.org/licenses/by-sa/4.0/).
+
 ### Citation Information
 Please cite the authors if you use these corpora in your work:
+
 ```bibtex
 @article{nllb2022,
   author    = {NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi,  Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang},