Update README.md

v2.0 — add semantic_intent, transliteration, searchable_text fields

README.md

@@ -6,11 +6,25 @@ task_categories:
   - text-classification
   - token-classification
   - feature-extraction
+  - translation
+  - question-answering
 task_ids:
   - language-modeling
+  - named-entity-recognition
+  - semantic-similarity
 pretty_name: Hadrami Arabic Dialect Dataset
+dataset_info:
+  version: 2.0.0
 size_categories:
   - 1K<n<10K
+annotations_creators:
+  - expert-generated
+language_creators:
+  - expert-generated
+multilinguality:
+  - monolingual
+source_datasets:
+  - original
 tags:
   - arabic
   - dialect
@@ -21,12 +35,20 @@ tags:
   - hadramawt
   - arabic-nlp
   - lexicon
+  - semantic-intent
+  - transliteration
+  - rag
+  - dialect-translation
+  - yemeni-arabic
+  - hadrami
+  - morphology
+  - lexicography
 thumbnail: cover.png
 ---
 
 # Hadrami Arabic Dialect Dataset
 
-A structured dataset of **1,047 entries** from the Hadrami Arabic dialect (spoken primarily in the Hadramawt region of Yemen). Each entry includes the dialectal word alongside its Modern Standard Arabic (MSA/Fusha) equivalent, linguistic metadata, usage examples, proverbs, and semantic tags.
+A structured dataset of **1,000 entries** from the Hadrami Arabic dialect (spoken primarily in the Hadramawt region of Yemen). Each entry includes the dialectal word alongside its Modern Standard Arabic (MSA/Fusha) equivalent, linguistic metadata, usage examples, proverbs, and semantic tags.
 
 > 🔊 **Roadmap:** Audio pronunciations for each entry are planned for a future release.
 
@@ -38,7 +60,7 @@ A structured dataset of **1,047 entries** from the Hadrami Arabic dialect (spoke
 
 | Field | Value |
 |---|---|
-| Entries | 1,047 |
+| Entries | 1,000 |
 | Language | Arabic (Hadrami dialect + MSA) |
 | Source | قاموس اللهجة الحضرمية — فهد بن هلابي |
 | Format | CSV / JSON |
@@ -87,10 +109,10 @@ Each example is a JSON object with two keys:
 
 | Field | Coverage |
 |---|---|
-| Entries with examples | 1,043 / 1,047 (99.6%) |
-| Entries with synonyms | 742 / 1,047 (70.9%) |
-| Entries with proverbs | 89 / 1,047 (8.5%) |
-| Entries with notes | 620 / 1,047 (59.2%) |
+| Entries with examples | 1,043 / 1,000 (99.6%) |
+| Entries with synonyms | 742 / 1,000 (70.9%) |
+| Entries with proverbs | 89 / 1,000 (8.5%) |
+| Entries with notes | 620 / 1,000 (59.2%) |
 | `note` nulls | 427 — intentionally null, not missing |
 
 ---
@@ -107,7 +129,7 @@ Each example is a JSON object with two keys:
 import pandas as pd
 import json
 
-df = pd.read_csv("hadrami_clean_v1.csv")
+df = pd.read_csv("hadrami_dictionary_v2.csv")
 
 # Parse JSON array columns
 for col in ["synonyms", "phonetic_variants", "examples", "proverbs", "tags"]:
@@ -127,7 +149,7 @@ food = df[df["tags"].apply(lambda t: "Food" in t)]
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("your-username/hadrami-arabic-dialect-dataset")
+ds = load_dataset("saeedbark/hadrami-arabic-dialect-dataset")
 ```
 
 ---
@@ -142,4 +164,20 @@ If you use this dataset, please cite the original source:
 
 ## Contributing
 
-Found an error or want to add entries? Open an issue or pull request on the dataset repository.
+Found an error or want to add entries? Open an issue or pull request on the dataset repository.
+
+
+---
+
+## Changelog
+
+### v2.0.0 (2026-05-04)
+- Added  field (NLP semantic role classification)
+- Added  field (Latin script for each entry)
+- Added  field (pre-built Arabic full-text search blob)
+- Normalized all  and  values
+- Tags converted to lowercase for consistency
+- 1,000 verified entries (quality-reviewed subset)
+
+### v1.0.0
+- Initial release with 1,047 entries