Update README.md

README.md

@@ -335,6 +335,7 @@ While this accounts for `alignable` (parallel) documents, In real-world scenario
 
 For Machine Translation (MT) tasks, we first randomly sample 1,000 documents per English-Indic language pair, ensuring a good distribution of varying document lengths. After excluding these sampled documents, we use the remaining documents for training document-level machine translation models.
 
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 ## Data Fields
 
@@ -352,6 +353,7 @@ For Machine Translation (MT) tasks, we first randomly sample 1,000 documents per
 - **`tgt_lang`:** Target Language ((ISO 639-3 code)
 - **`tgt_text`:** Target Language Text
 
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 ## Usage
 
@@ -381,6 +383,8 @@ dataset = load_dataset("ai4bharat/Pralekha", data_dir="<subset>/eng_<lang>")
 # <subset> = train, dev & test ; <lang> = ben, guj, hin, kan, mal, mar, ori, pan, tam, tel, urd.
 ```
 
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 ## Data Size Statistics
 
 | Split         | Number of Documents | Size (bytes)       |