Link dataset to paper and improve documentation

README.md

@@ -1,51 +1,51 @@
 ---
-license: cc-by-4.0
 language:
-  - ar
-task_categories:
-  - text-classification
-  - text-generation
+- ar
+license: cc-by-4.0
 size_categories:
-  - 10M<n<100M
-pretty_name: "Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry"
-
+- 10M<n<100M
+task_categories:
+- text-classification
+- text-generation
+pretty_name: 'Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry'
 dataset_info:
   features:
-    - name: art_id
-      dtype: int32
-    - name: artist_id
-      dtype: int32
-    - name: artist_name
-      dtype: string
-    - name: art_title
-      dtype: string
-    - name: writer
-      dtype: string
-    - name: composer
-      dtype: string
-    - name: verse_order
-      dtype: int32
-    - name: verse_lyrics
-      dtype: string
-    - name: origin
-      dtype: string
-    - name: dialect
-      dtype: string
-    - name: type
-      dtype: string
-    - name: corpus_version
-      dtype: string
-    - name: word_count
-      dtype: int32
-
+  - name: art_id
+    dtype: int32
+  - name: artist_id
+    dtype: int32
+  - name: artist_name
+    dtype: string
+  - name: art_title
+    dtype: string
+  - name: writer
+    dtype: string
+  - name: composer
+    dtype: string
+  - name: verse_order
+    dtype: int32
+  - name: verse_lyrics
+    dtype: string
+  - name: origin
+    dtype: string
+  - name: dialect
+    dtype: string
+  - name: type
+    dtype: string
+  - name: corpus_version
+    dtype: string
+  - name: word_count
+    dtype: int32
   splits:
-    - name: train
-    - name: validation
-    - name: test
+  - name: train
+  - name: validation
+  - name: test
 ---
 
 # Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry
 
+This repository contains the data presented in the paper [Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry](https://huggingface.co/papers/2603.16601).
+
 **Tarab** is a large-scale Arabic creative-text corpus that unifies **song lyrics** and **poetry** in a single verse-level representation.  
 It contains **2,557,311 verses** and **13,509,336 tokens**, spanning **Classical Arabic**, **MSA**, and six major regional dialect groups, and covering both **modern countries** and **historical eras**.
 
@@ -140,7 +140,7 @@ The repository includes `train.csv`, `validation.csv`, and `test.csv` created us
 
 This avoids leakage where verses from the same work appear in multiple splits.
 
-```
+```python
 import pandas as pd
 from sklearn.model_selection import train_test_split
 
@@ -250,19 +250,12 @@ In addition to the standard train/validation/test splits, the repository provide
 Each file contains all verses belonging to a single dialect category:
 
 - Classical
-
 - MSA
-
 - Egyptian
-
 - Gulf
-
 - Levantine
-
 - Iraqi
-
 - Sudanese
-
 - Maghrebi
 
 The dialect splits are derived directly from the master file and preserve full metadata, including origin, type, and art_id.
@@ -270,14 +263,11 @@ The dialect splits are derived directly from the master file and preserve full m
 These subsets support:
 
 - Dialect-specific modelling and evaluation
-
 - Controlled experiments on regional linguistic variation
-
 - Cross-dialect transfer learning
-
 - Vocabulary and stylistic analysis within dialect boundaries
 
-```
+```python
 import os
 import pandas as pd
 
@@ -303,7 +293,9 @@ df["dialect"] = df["dialect"].astype(str).str.strip()
 # Get unique dialects
 dialects = sorted(df["dialect"].unique())
 
-print("\nCreating files per dialect...\n")
+print("
+Creating files per dialect...
+")
 
 for d in dialects:
     dialect_df = df[df["dialect"] == d]
@@ -317,7 +309,8 @@ for d in dialects:
     print(f"{d}:")
     print(f"  Verses: {len(dialect_df):,}")
     print(f"  Works: {dialect_df['art_id'].nunique():,}")
-    print(f"  File: {output_path}\n")
+    print(f"  File: {output_path}
+")
 
 print("Done.")
 ```
@@ -356,6 +349,7 @@ This split should be treated as weakly supervised metadata derived from web cate
 ## Citation
 
 If you use Tarab, please cite:
+
 ```bibtex
 @inproceedings{elhaj2026tarab,
   title={Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry},
@@ -365,4 +359,5 @@ If you use Tarab, please cite:
   address={Rabat, Morocco},
   month={March},
   year={2026}
-}
+}
+```