Update README.md

README.md

@@ -3,6 +3,7 @@ license: cc-by-4.0
 language:
 - hi
 - mr
+- ta
 task_categories:
 - other
 tags:
@@ -25,14 +26,16 @@ Each entry consists of a surface word form and its morpheme-level decomposition,
 Currently supported languages:
 - Hindi (`hindi.csv`)
 - Marathi (`marathi.csv`)
+- Tamil (`tamil.csv`)
 
-Additional languages such as Tamil and Telugu may be added in future releases.
+Additional languages may be added in future releases.
 
 print(ds)
 ## Data Format
 Each CSV file contains the following columns:
 - `word`: surface form
 - `segmentation`: morpheme-level segmentation
+- `language`: language code
 
 ## Usage
 from datasets import load_dataset
@@ -42,52 +45,11 @@ ds = load_dataset(
     data_files={
         "hindi": ["hindi.csv"],
         "marathi": ["marathi.csv"],
+        "tamil": ["tamil.csv"],
     }
 )
-
-## ---
-license: cc-by-4.0
-language:
-- hi
-- mr
-task_categories:
--- word segmentation
----
-
-# morphTok
-
-This repository contains the morphological segmentation data released as part of the paper:
-
-**Morphtok: Morphologically Grounded Tokenization for Indian Languages**
-
-## Description
-The dataset provides word-level morphological segmentations for Indian languages.
-Each entry consists of a surface word form and its morpheme-level decomposition, represented using the `+` delimiter.
-
-Currently supported languages:
-- Hindi (`hindi.csv`)
-- Marathi (`marathi.csv`)
-
-Additional languages such as Tamil and Telugu may be added in future releases.
-
 print(ds)
 
-## Data Format
-Each CSV file contains the following columns:
-- `word`: surface form
-- `segmentation`: morpheme-level segmentation
-
-## Usage
-from datasets import load_dataset
-
-ds = load_dataset(
-    "karthika95/morphTok",
-    data_files={
-        "hindi": ["hindi.csv"],
-        "marathi": ["marathi.csv"],
-    }
-)
-
 ## Acknowledgements
 We thank BharatGen for providing resources and access to domain experts who supported the curation of this dataset.