---
language:
  - fa
license: cc-by-sa-4.0
pretty_name: DiLLM Phase 1 — Persian Corpora
size_categories:
  - 1M<n<10M
task_categories:
  - text-generation
tags:
  - persian
  - farsi
  - iran
  - dillm
  - dibachain
  - shia
  - persian-literature
configs:
  - config_name: wiki_general
    data_files: wiki_general/*.parquet
  - config_name: poetry
    data_files: poetry/*.parquet
  - config_name: history_iran
    data_files: history_iran/*.parquet
  - config_name: grammar
    data_files: grammar/*.parquet
  - config_name: religion_shia
    data_files: religion_shia/*.parquet
  - config_name: identity_sft
    data_files: identity_sft/*.parquet
---

# DiLLM Phase 1 — Persian Corpora

**The training corpora for [DiLLM (دیبا)](https://huggingface.co/DibaAi/DiLLM.nano),
a Persian-first language model built in Iran by [Dibachain](https://dibachain.ir/).**

| | |
|---|---|
| **Publisher** | Dibachain — [dibachain.ir](https://dibachain.ir/) |
| **Country** | Iran 🇮🇷 |
| **Model** | [DibaAi/DiLLM.nano](https://huggingface.co/DibaAi/DiLLM.nano) |
| **Source code** | [github.com/AliAkrami1375/DibaLLM](https://github.com/AliAkrami1375/DibaLLM) |
| **Language** | Persian (فارسی) |
| **Total** | ~1.02M documents · ~379M tokens |

This dataset was **assembled from scratch** for DiLLM. Every corpus was
downloaded from its primary source, filtered, and cleaned by the project's own
pipeline — nothing here is a repackaged third-party dataset. The build is fully
reproducible: `scripts/download_data.py` fetches the raw sources and
`scripts/build_corpus.py` produces exactly these files.

## Why this dataset exists

Persian is under-served by multilingual corpora. Web-scraped Persian data is
noisy, and general-purpose tokenizers split Persian words into three or more
tokens. DiLLM starts from the opposite end: a corpus assembled *for* Persian,
with the domains that matter to an Iranian audience weighted deliberately —
classical literature, Iranian history, Persian grammar, and Twelver Shia heritage.

## Configurations

| Config | Documents | Tokens (est.) | Contents |
|---|---:|---:|---|
| `wiki_general` | 860,495 | 344.5M | Persian Wikipedia — the general language base |
| `poetry` | 110,179 | 21.0M | Classical Persian poetry from 195 poets |
| `history_iran` | 5,835 | 7.0M | Contemporary Iranian history, Qajar era to present |
| `grammar` | 41,922 | 3.5M | Persian lexicon and language articles |
| `religion_shia` | 3,717 | 3.3M | Quran with Persian translations, Twelver Shia heritage |
| `identity_sft` | 91 | — | Supervised pairs defining the model's identity and behavior |

### `poetry` — classical Persian literature

Complete **Shahnameh** (49,609 verses by Ferdowsi), plus Hafez, Saadi, Rumi,
Khayyam, Nezami, Attar, Jami, Sa'eb Tabrizi and 187 other poets. Sourced from
[Ganjoor](https://ganjoor.net/), the reference digital archive of Persian
poetry. ZWNJ (half-space) is preserved throughout — critical for correct
Persian orthography.

### `grammar` — everything about the Persian language

- **~40,000 lexicon entries** from Persian Wiktionary, each with part of speech
  (اسم / صفت / فعل / قید / مصدر), etymology (ریشه‌شناسی), pronunciation
  (آوایش), synonyms and derived forms.
- **1,405 Wikipedia articles** on grammar, syntax, morphology, phonology,
  orthography, dialects, prosody (عروض) and rhetoric — selected by real
  MediaWiki category membership, not title matching.
- **45 Wikibooks chapters** on teaching Persian.

### `religion_shia` — Twelver Shia heritage

The complete Quran in Arabic (Uthmani script) with **three Persian
translations** (Makarem Shirazi, Fooladvand, Ansarian), articles on the Fourteen
Infallibles, Mahdaviat, Nahj al-Balagha, Ashura and Karbala, Shia theology and
jurisprudence, plus religious texts from Persian Wikisource.

### `identity_sft` — behavioral fine-tuning pairs

Supervised pairs that teach the model who it is and how to behave, in five
categories: `identity`, `boundary` (saying "I don't know"), `phase`,
`citation` (quote-then-interpret), and `initiative`.

## Schema

Corpus configs:

```python
{"source": str,   # origin: fawiki, ganjoor, tanzil, fawiktionary, ...
 "title":  str,   # article title, poem title, or sura reference
 "text":   str}   # the document body
```

`identity_sft`:

```python
{"instruction": str, "response": str, "category": str}
```

## Usage

```python
from datasets import load_dataset

poetry = load_dataset("DibaAi/DiLLM.nano", "poetry", split="train")
print(poetry[0]["title"])   # فردوسی — بخش ۱
```

## Sources and licensing

| Corpus | Primary source | Source license |
|---|---|---|
| `wiki_general`, `history_iran` | [Persian Wikipedia](https://fa.wikipedia.org/) (2025-07 dump) | CC BY-SA 4.0 |
| `grammar` | Persian Wiktionary, Wikipedia, Wikibooks | CC BY-SA 4.0 |
| `poetry` | [Ganjoor](https://ganjoor.net/) | Public domain (classical works) |
| `religion_shia` | [Tanzil](https://tanzil.net/), Persian Wikisource, Wikipedia | Tanzil terms; CC BY-SA 4.0 |
| `identity_sft` | Written for this project | MIT |

**This dataset is released under CC BY-SA 4.0**, inherited from its Wikimedia
components. Attribute Wikimedia projects and Ganjoor when redistributing.
Quran text follows [Tanzil's terms of use](https://tanzil.net/docs/tanzil_license):
the text must not be modified and must be attributed to Tanzil.

## Processing pipeline

1. **Download** — each source fetched from its primary origin.
2. **Extract** — MediaWiki dumps parsed; templates, refs, category and file
   links stripped; HTML entities decoded.
3. **Filter** — documents under 250 characters and disambiguation pages
   dropped (189,373 removed). Lexicon entries use a 40-character threshold.
4. **Classify** — domain corpora selected by MediaWiki category membership
   with an explicit denylist for categories that match a topic rather than the
   language (loanword categories were pulling in articles about chromium and
   opera, for example).
5. **Emit** — one JSON object per document, converted to zstd-compressed Parquet.

## Known limitations

- **Wikipedia dominance.** 91% of tokens come from Persian Wikipedia, carrying
  its coverage gaps and editorial perspective.
- **No deduplication yet.** Document-level and paragraph-level dedup is planned.
- **No tafsir.** The Quran appears with translation but without exegesis; no
  open Persian tafsir corpus was available at build time.
- **Perspective.** `history_iran` and `religion_shia` reflect their Persian
  Wikipedia and Iranian sources. Treat them as documents of a viewpoint.
- **Not safety-filtered.** The corpus has not been screened for toxic content
  beyond the quality filters described above.

## Citation

```bibtex
@dataset{dillm_corpora_2026,
  title     = {DiLLM Phase 1: Persian Corpora},
  author    = {Dibachain},
  year      = {2026},
  url       = {https://huggingface.co/datasets/DibaAi/DiLLM.nano},
  publisher = {Dibachain, Iran}
}
```

---

Built in Iran by **[Dibachain](https://dibachain.ir/)**.