---
license: apache-2.0
language:
- en
tags:
- discord
- chatml
- conversation
- dialogue
- multi-turn
- single-turn
- luna-protocol
size_categories:
- 100M<n<1B
pretty_name: Luna Protocol Dataset
---

> **Discord-Dialogues-Preprocessed-Luna-Protocol** is a preprocessed fork of [mookiezi/Discord-Dialogues](https://huggingface.co/datasets/mookiezi/Discord-Dialogues), adapted for fine-tuning Qwen2.5-family models as part of the **Luna Protocol** project.

This dataset contains anonymized Discord conversations for training and evaluating realistic conversational AI models in a ChatML-friendly format. It is derived directly from `mookiezi/Discord-Dialogues` with two targeted preprocessing steps applied (see below) — the underlying conversations, filtering pipeline (PII removal, ToS-risk filtering, dedup), and licensing are unchanged from the original.

## What was changed from the original dataset

The original `mookiezi/Discord-Dialogues` ships each example as a ChatML string terminated with the literal token `<|end_of_text|>`. That token is **not** a recognized special token in the Qwen2.5 tokenizer (it originates from Llama 3 / GPT-oss style tokenizers), which meant it would get split into several ordinary sub-tokens during fine-tuning instead of being treated as a single end-of-sequence marker — actively harmful for teaching a model where to stop generating.

Two preprocessing steps were applied on top of the original `text` column:

1. **EOS token fix** — every occurrence of `<|end_of_text|>` was replaced with the actual EOS token of the target tokenizer (`<|im_end|>` for Qwen2.5). Any example that didn't already end with an EOS marker had one appended.
2. **Length filtering** — examples were filtered using the dataset's own `tokens` column, keeping only exchanges with **8 to 512 tokens**. This removes degenerate very-short exchanges and caps sequence length for training efficiency. Only 127 out of 7,300,966 examples fell outside this range and were dropped.

No other changes were made: no re-cleaning, no re-deduplication, no additional filtering of content. The `tokens`, `turns`, `characters`, and `words` metadata columns from the original dataset are preserved as-is (note: `tokens` reflects the original tokenizer's count, not a recount after the EOS substitution).

## Columns

| Column       | Type   | Description                                                                 |
| ------------ | ------ | ----------------------------------------------------------------------------- |
| `text`       | string | ChatML-formatted conversation, EOS-corrected for Qwen2.5 (`<|im_start|>`/`<|im_end|>`) |
| `tokens`     | int64  | Token count from the original dataset (used for the 8–512 filter)             |
| `turns`      | int64  | Number of conversational turns                                                |
| `characters` | int64  | Character count                                                               |
| `words`      | int64  | Word count                                                                    |

## Intended use

Fine-tuning small-to-mid-size causal language models (tested with Qwen2.5-1.5B-Instruct via QLoRA/Unsloth) to emulate informal, human Discord conversation style, as part of the **Luna Protocol** model family (e.g. `Luna-Protocol-1.5B-Discord-Dialogues`).

If you're targeting a different base model whose EOS token differs from Qwen2.5's `<|im_end|>`, you'll want to re-run the EOS substitution step against the original dataset rather than reusing this fork as-is.

## Source dataset

- **Original dataset**: [mookiezi/Discord-Dialogues](https://huggingface.co/datasets/mookiezi/Discord-Dialogues) (7.3M exchanges, 16M turns, 139M+ words, anonymized, English, late spring–early fall 2025)
- **License**: Apache License 2.0 (inherited from the original dataset)

## Citation

If you use this dataset, please cite the original:

```
@misc{discord-dialogues-2025,
  title = {Discord-Dialogues},
  author = {mookiezi},
  year = {2025},
  url = {https://huggingface.co/datasets/mookiezi/Discord-Dialogues}
}
```