README.md

metadata

language:
  - sd
tags:
  - sindhi
  - nlp
  - lexicon
  - low-resource-language
  - linguistics
  - ai
  - dictionary
  - text
  - multilingual
task_categories:
  - text-generation
  - token-classification
  - feature-extraction
task_ids:
  - language-modeling
pretty_name: Sindhi Open Lexicon Master Dataset
size_categories:
  - 100K<n<1M
license: cc-by-4.0

Sindhi Open Lexicon Master Dataset

Publisher: SindhiLanguage.org
Prepared and curated by: Amar Fayaz Buriro (امر فياض ٻرڙو)
Version: 1.0 — Generated: May 2026

---

Dataset Summary

This is a developer-ready and AI-ready master lexical dataset for the Sindhi language — one of the largest structured Sindhi datasets available for AI and NLP use.

It contains 223,342 lexical entries drawn from multiple Sindhi dictionary and terminology sources, normalized into CSV, JSONL, and SQLite formats. Sindhi is a historically rich but low-resource language in AI; this dataset aims to help change that.

---

Supported Tasks

• Language Modeling — pre-training or fine-tuning Sindhi LLMs
• Named Entity Recognition — tagged domain and part-of-speech fields
• Feature Extraction — normalized word and definition fields
• Dictionary / Search Applications — direct lookup use
• Machine Translation — bidirectional entries (English↔Sindhi, Arabic↔Sindhi, Hindi↔Sindhi)
• OCR Post-correction — normalized forms aid Sindhi OCR pipelines

---

Dataset Statistics

Metric	Value
Total entries	223,342
Pure Sindhi words (جامع سنڌي لغات)	80,588
Mewaram لغت entries	29,514
Formats	CSV, JSONL, SQLite
Encoding	UTF-8
Version	1.0

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Source Breakdown

Source Dictionary	Entries
جامع سنڌي لغات	80,588
Official Terms	37,599
Mewaram لغت	29,514
English → Sindhi	21,726
Devanagari/Sindhi → English	16,519
Hindi → Sindhi	15,300
Trade & Commerce	7,998
Haematology	5,158
Arabic → Sindhi	4,566
Print Technology	4,374

---

Dataset Structure

Files

data/sindhi_open_lexicon_master_223342.csv      — Main dataset (CSV)
data/sindhi_open_lexicon_master_223342.jsonl    — Main dataset (JSONL)
data/sample_1000_entries.csv                    — 1,000-entry sample for quick preview
sqlite/sindhi_open_lexicon_master_223342.sqlite — SQLite database
metadata/stats.json                             — Dataset statistics
metadata/sources.json                           — Source dictionary breakdown
LICENSE.txt
README.md

Data Fields

Field	Description
lexical_id	Stable generated unique ID
entry_id	Original database ID
word	Headword / lexical item (Sindhi script)
word_with_airab_or_variant	Variant or diacritic form where available
part_of_speech	Grammatical category (noun, verb, etc.) where available
domain	Subject domain where available
definition	Meaning or definition
language_direction	Language mapping (e.g. English → Sindhi)
source_dictionary	Original source dictionary name
normalized_word	Normalized, searchable word form
normalized_definition	Normalized, searchable definition form
extra	Additional original metadata where available

Example Entry (JSONL)

{
  "lexical_id": "SDL-00001",
  "entry_id": "1",
  "word": "ڪتاب",
  "word_with_airab_or_variant": "ڪِتاب",
  "part_of_speech": "noun",
  "domain": null,
  "definition": "book; a written or printed work",
  "language_direction": "Sindhi",
  "source_dictionary": "جامع سنڌي لغات",
  "normalized_word": "ڪتاب",
  "normalized_definition": "book a written or printed work",
  "extra": null
}

---

Usage

import pandas as pd

# Load full CSV
df = pd.read_csv("data/sindhi_open_lexicon_master_223342.csv")
print(df.shape)        # (223342, 12)
print(df.columns.tolist())

# Filter by source dictionary
pure_sindhi = df[df["source_dictionary"] == "جامع سنڌي لغات"]

# Filter by language direction
en_sd = df[df["language_direction"] == "English → Sindhi"]

# Search for a word
results = df[df["normalized_word"].str.contains("ڪتاب", na=False)]

# Load JSONL
import json

entries = []
with open("data/sindhi_open_lexicon_master_223342.jsonl", "r", encoding="utf-8") as f:
    for line in f:
        entries.append(json.loads(line))

# Query SQLite
import sqlite3

conn = sqlite3.connect("sqlite/sindhi_open_lexicon_master_223342.sqlite")
cur = conn.cursor()
cur.execute("SELECT word, definition FROM lexicon WHERE source_dictionary = 'جامع سنڌي لغات' LIMIT 10")
for row in cur.fetchall():
    print(row)

---

Use Cases

• Sindhi language applications and chatbots
• AI and NLP model training and fine-tuning
• Large Language Model (LLM) vocabulary expansion
• Search, dictionary, and lexicon portals
• Educational and linguistic research
• OCR and spell-checking tools

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Notes

• The dataset preserves source-level attribution for full transparency.
• Some entries may have incomplete part_of_speech or domain fields because the original dictionaries differ in structure.
• All text is UTF-8 encoded with right-to-left Sindhi script.
• The SQLite file is recommended for developers who need fast lookup queries.

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Required Attribution

Any public use, redistribution, model training note, research paper, API, or application using this dataset must acknowledge:

SindhiLanguage.org — https://sindhilanguage.org/
Prepared and curated by Amar Fayaz Buriro (امر فياض ٻرڙو)

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Citation

@dataset{sindhi_open_lexicon_2026,
  title     = {Sindhi Open Lexicon Master Dataset},
  author    = {Buriro, Amar Fayaz},
  year      = {2026},
  publisher = {SindhiLanguage.org},
  url       = {https://sindhilanguage.org/},
  note      = {223,342 lexical entries for Sindhi NLP and AI}
}

---

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
You are free to use, share, and adapt it — with proper attribution as stated above.