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+ ---
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+ license: apache-2.0
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+ language:
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+ - ps
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+ tags:
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+ - conversational
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+ - pashto
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+ - clean
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+ - instruction-tuning
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+ - chatml
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+ size_categories:
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+ - n < 1K
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+ ---
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+
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+ # Pashto Clean Conversations Dataset 🇦🇫✨
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+
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+ This is a highly curated, deduplicated, and linguistically sanitized conversational dataset in **Pashto**. It is specifically structured for instruction tuning, alignment, and perfecting the conversational capabilities of local Large Language Models (LLMs) in the Pashto language.
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+
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+ ## Dataset Summary
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+
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+ - **Total Conversations:** 722 unique multi-turn/single-turn interactions (derived from 907 raw instances).
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+ - **Format:** OpenAI / Hugging Face standard `messages` format (`role` and `content`).
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+ - **Language:** 100% Pashto (پښتو) text.
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+ - **Data Quality:** 185 duplicates removed (~20% noise reduction). Pure machine-translated artifacts and sub-standard spelling errors (like *پښتونانو*, *پاشتو*, *پشتو*) have been algorithmically hunted and corrected into pure, native standard Pashto.
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+
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+ ## Structure & Schema
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+
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+ Each row is formatted as a JSON object inside a `.jsonl` file with a top-level `messages` array, making it natively compatible with **Unsloth**, Hugging Face Trainer, and Axolotl.
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+
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+ ### Example Entry:
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+ ```json
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+ {
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+ "messages": [
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+ {"role": "user", "content": "سلام علیکم ماښام مو پخیر"},
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+ {"role": "assistant", "content": "وعلیکم السلام، ماښام مو پخیر! زه څنګه کولای شم نن ستاسو کومک وکړم؟"}
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+ ]
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+ }
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+
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+ ```
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+
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+ ## Data Cleansing & Sanitization Process
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+
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+ 1. **Aggregation:** Merged 10 distinct conversational JSON source tracks into a single unified workspace.
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+ 2. **Deduplication:** Hashed exact string matches of the conversation bodies to eliminate duplicate training patterns.
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+ 3. **Linguistic Deep Hunt:** Executed a specialized Regex pipeline targeting the tokenization anomalies and keyboard errors often generated by foreign local models when rendering Pashto script.
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+ * Non-standard plurals (e.g., `پښتونانو` corrected to `پښتنو`).
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+ * Persian/Urdu script overlaps (e.g., `پشتو` corrected to `پښتو`).
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+ * Phonetic translation spelling errors (e.g., `پاشتو` corrected to `پښتو`).
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+
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+
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+
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+ ## Usage & Unsloth Integration
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+
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+ You can easily load this dataset using the Hugging Face `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("nassimjp/pashto-clean-conversations", split="train")
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+
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+ ```
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+
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+ For **Unsloth** users applying a chat template (e.g., Llama-3 or ChatML):
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+
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+ ```python
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+ from unsloth import get_chat_template
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+
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+ dataset = get_chat_template(
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+ dataset,
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+ chat_template = "llama-3",
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+ mapping = {"role" : "role", "content" : "content", "user" : "user", "assistant" : "assistant"},
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+ mapping_column = "messages",
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+ )
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+
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+ ```
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+
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+ ## License
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+
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+ This dataset is distributed under the **Apache-2.0** license. Feel free to use it for training and refining your Pashto AI architectures!
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+
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+ ```