Update README.md

README.md

@@ -50,35 +50,53 @@ tags:
 
 # Dataset Card for Pralekha
 
-## Dataset Description
+# Pralekha
 
-**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).
+PRALEKHA is a large-scale benchmark for evaluating document-level alignment techniques. It includes 2M+ documents, covering 11 Indic languages and English, with a balanced mix of aligned and unaligned pairs.
 
 ---
 
-## Dataset Usage
+## Dataset Description
 
-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.
+PRALEKHA covers 12 languages—Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, Urdu, and English. It includes a mixture of high- and medium-resource languages, covering 11 different scripts. The dataset spans two broad domains: **news bulletins** and **podcast scripts**, offering both written and spoken forms of data. All the data is human-written or human-verified, ensuring high quality. 
 
----
+The dataset has a **1:2 ratio of aligned to unaligned document pairs**, making it ideal for benchmarking cross-lingual document alignment techniques.
 
-## Dataset Statistics
+### Data Sources
 
-| 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 |
+1. **News Bulletins:** Data was custom-scraped from the [Indian Press Information Bureau (PIB)](https://pib.gov.in) website. Documents were aligned by matching bulletin IDs, which interlink bulletins across languages.
+2. **Podcast Scripts:** Data was sourced from [Mann Ki Baat](https://www.pmindia.gov.in/en/mann-ki-baat), a radio program hosted by the Indian Prime Minister. This program, originally spoken in Hindi, was manually transcribed and translated into various Indian languages.
 
----
+### Dataset Size Statistics
+
+| Split         | Number of Documents | 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     |
+
+### Language-wise Statistics
+
+| Language       | Aligned Documents | Unaligned Documents | Total Documents |
+|----------------|-------------------|---------------------|-----------------|
+| Bengali (`bn`) | 95,813            | 47,906              | 143,719         |
+| English (`en`) | 298,111           | 149,055             | 447,166         |
+| Gujarati (`gu`)| 67,847            | 33,923              | 101,770         |
+| Hindi (`hi`)   | 204,809           | 102,404             | 307,213         |
+| Kannada (`kn`) | 61,998            | 30,999              | 92,997          |
+| Malayalam (`ml`)| 67,760           | 33,880              | 101,640         |
+| Marathi (`mr`) | 135,301           | 67,650              | 202,951         |
+| Odia (`or`)    | 46,167            | 23,083              | 69,250          |
+| Punjabi (`pa`) | 108,459           | 54,229              | 162,688         |
+| Tamil (`ta`)   | 149,637           | 74,818              | 224,455         |
+| Telugu (`te`)  | 110,077           | 55,038              | 165,115         |
+| Urdu (`ur`)    | 220,425           | 110,212             | 330,637         |
+
+### Data Fields
 
-## Dataset Structure
+Each data sample includes:
 
-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"
-}
+- **`n_id`:** Unique identifier for aligned document pairs.
+- **`doc_id`:** Unique identifier for individual documents.
+- **`lang`:** Language of the document (ISO-3 code).
+- **`text`:** The textual content of the document.