README.md

metadata

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, 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 (`<
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 (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}
}