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---
language:
- ar
license: cc-by-sa-4.0
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
- nlp
- linguistics
- low-resource
- yemen
- 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 **1,000 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.
---
---
## Dataset Summary
| Field | Value |
|---|---|
| Entries | 1,000 |
| Language | Arabic (Hadrami dialect + MSA) |
| Source | قاموس اللهجة الحضرمية — فهد بن هلابي |
| Format | CSV / JSON |
| License | CC BY 4.0 |
| Task Tags | NLP, Dialectal Arabic, Lexicography, Low-resource Language |
---
## Schema
| Column | Type | Description |
|---|---|---|
| `id` | int | Unique entry identifier |
| `word_vocalized` | string | Dialectal word with full diacritics (تشكيل) |
| `word_clean` | string | Dialectal word without diacritics |
| `root` | string | Arabic trilateral/quadrilateral root. May be `null` for loanwords or proper names |
| `pos` | string | Part of speech (see POS values below) |
| `fusha_equivalent` | string | Modern Standard Arabic equivalent word or phrase |
| `definition` | string | Definition in MSA |
| `region` | string | Geographic usage region within Hadramawt |
| `synonyms` | JSON array | List of dialectal synonyms |
| `phonetic_variants` | JSON array | Alternative pronunciations |
| `note` | string / null | Linguistic or usage note. `null` if not applicable |
| `source` | string | Source reference (book title, author, page) |
| `examples` | JSON array | Usage examples (see structure below) |
| `proverbs` | JSON array | Related proverbs in dialect |
| `tags` | JSON array | Semantic category tags |
### `examples` field structure
Each example is a JSON object with two keys:
```json
{
"f": "الجملة بالفصحى",
"h": "الجملة بالحضرمية"
}
```
- `f` — sentence in Modern Standard Arabic (Fusha)
- `h` — equivalent sentence in Hadrami dialect
### POS values
`Noun`, `Verb`, `Adjective`, `Adverb`, `Expression`, `Preposition`, `Particle`, `Noun/Verb`, `Verb/Adjective`, `Verb/Phrase`, `Noun/Adjective`
---
## Notable Statistics
| Field | Coverage |
|---|---|
| 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 |
---
## Top Semantic Tags
`Daily Life` · `Nature` · `Agriculture` · `Social Customs` · `Architecture` · `Food` · `Clothing` · `Tools` · `Expressions` · `Home` · `Water` · `Weather` · `History`
---
## Usage (Python)
```python
import pandas as pd
import json
df = pd.read_csv("hadrami_dictionary_v2.csv")
# Parse JSON array columns
for col in ["synonyms", "phonetic_variants", "examples", "proverbs", "tags"]:
df[col] = df[col].apply(json.loads)
# Example: get all nouns
nouns = df[df["pos"] == "Noun"]
# Example: get entries tagged with Food
food = df[df["tags"].apply(lambda t: "Food" in t)]
```
---
## Loading from HuggingFace
```python
from datasets import load_dataset
ds = load_dataset("saeedbark/hadrami-arabic-dialect-dataset")
```
---
## Citation
If you use this dataset, please cite the original source:
> فهد بن هلابي. *قاموس اللهجة الحضرمية*. (Fahd bin Hilabi, Dictionary of the Hadrami Dialect)
---
## Contributing
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