--- 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 🔊 **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