Update README.md

README.md

@@ -47,3 +47,38 @@ tags:
 - parallel-corpus
 - document-alignment
 ---
+
+# Dataset Card for Pralekha
+
+## Dataset Description
+
+**Pralekha** is a large-scale benchmark for evaluating document-level alignment techniques, specifically designed for cross-lingual parallel data mining. The dataset contains over **2 million documents**, covering **11 Indic languages** and **English**, with a balanced mix of aligned and unaligned document pairs. It provides a foundational resource for exploring high-quality parallel data mining and supporting long-context cross-lingual applications like neural machine translation (NMT).
+
+---
+
+## Dataset Usage
+
+Pralekha serves as a **benchmark dataset to evaluate document alignment approaches across various dimensions**, including embedding models, granularity levels (sentence, chunk, and document), and alignment algorithms. It enables the development of optimal strategies for mining high-quality parallel document pairs from large, noisy, web-crawled corpora, specifically for Indic languages and English.
+
+---
+
+## Dataset Statistics
+
+| Split       | Examples | Size (bytes)   |
+|-------------|----------|----------------|
+| `aligned`   | 1,566,404 | 10,274,361,211 |
+| `unaligned` | 783,197   | 4,466,506,637  |
+| **Total**   | 2,349,601 | 14,740,867,848 |
+
+---
+
+## Dataset Structure
+
+The dataset is split into `aligned` and `unaligned` subsets. Each entry follows the format:
+```yaml
+{
+  "n_id": "unique_parallel_id",
+  "doc_id": "unique_document_id",
+  "lang": "ISO-3_language_code",
+  "text": "textual_content"
+}