Datasets:

mookiezi
/

Discord-Dialogues

@@ -27,7 +27,7 @@ size_categories:
 > **Discord-Dialogues** is a large-scale dataset of anonymized Discord conversations from late spring to early fall 2025 for training and evaluating realistic conversational AI models in a ChatML-friendly format.
-  This dataset contains 7.5 million exchanges spread out over 17 million turns, with more than 145 million words.
 ---
@@ -63,9 +63,10 @@ size_categories:
 -   Training relevance/reward models
 -   Dialogue generation research
-Use case examples:
-- [mookiezi/Discord-Micae-8B-Preview](https://huggingface.co/mookiezi/Discord-Micae-8B-Preview) — experimental larger model
-- [mookiezi/Discord-Micae-Hermes-3-3B](https://huggingface.co/mookiezi/Discord-Micae-Hermes-3-3B) — stable smaller model
 ---
@@ -74,22 +75,22 @@ Use case examples:
 This dataset was constructed with a custom multi-stage filtering toolkit:
 1. **SQL filters** (`filter.sql`)
-  Postgres regex/text filters for PII, bot/command patterns, links, embeds, and automation noise.
 2. **Smart cleaner** (`smartclean.py`)
-  Multi-stage process: normalize text, slang replacement, resample by length, and enforce structural validation.
-  Filters out structural noise such as code blocks, trading posts, and LFG.
 3. **Dedupe** (`dedupe.py`)
-  Deduplicates conversations by hashing message chains
-  Keeps only unique rows preferring the longest final assistant message when duplicates occur.
 4. **Fix End** (`fixend.py`)
-  Strips any prefix of spaces, commas, or non-emoticon colons before `<|im_end|>` to the plain token.
 5. **ToS risk filter** (`tos.py`)
-  Drops or redacts unsafe categories (sexual violence, CSA, slurs, harassment, doxxing, self-harm, extremism) and PII.
-  Uses fuzzy/leet/diacritic-aware regex.
 The full filtering scripts are open source at the [filters GitHub repository](https://github.com/mookiezi/filters).
@@ -112,81 +113,78 @@ The full end-to-end pipeline is documented in the [dataset-pipeline GitHub repos
 <div style="display:flex; gap:20px; align-items:flex-start;">
 <div>
-| Metric                   |           Value  |
-| ------------------------ | --------------:  |
-| Samples (count)          |        7,546,294 |
-| Min length (tokens)      |                7 |
-| Max length (tokens)      |            5,979 |
-| Mean length (tokens)     |            33.02 |
-| Median length (tokens)   |               29 |
-| Std dev (tokens)         |            17.39 |
-| Skew                     |            26.46 |
-| Kurtosis                 |         7,487.55 |
-| Total tokens             |      249,193,745 |
-| Total characters         |    1,291,480,299 |
-| Total words              |      145,887,976 |
-| Avg chars per sample     |           171.14 |
-| Avg words per sample     |            19.33 |
-| Avg chars per word       |             8.85 |
-| Tokens per char          |             0.19 |
-| Total assistant blocks   |        9,341,891 |
 </div>
 <div>
-| Tokens    |     Count  |
-| --------- | --------:  |
-| 0–8       |         1  |
-| 8–16      |    110,310 |
-| 16–32     |  4,382,094 |
-| 32–64     |  2,674,780 |
-| 64–128    |    360,401 |
-| 128–256   |     18,083 |
-| 256��384   |        417 |
-| 384–512   |         75 |
-| 512–768   |         78 |
-| 768–1024  |         30 |
-| 1024–2048 |         18 |
-| 2048–4096 |          3 |
 </div>
 <div>
-| Turns |   Count    |
-| ----- | --------:  |
-| 2     |  5,969,540 |
-| 3     |  1,080,526 |
-| 4     |    319,794 |
-| 5     |    102,553 |
-| 6     |     41,246 |
-| 7     |     16,904 |
-| 8     |      7,715 |
-| 9     |      3,691 |
-| 10    |      1,867 |
-| 11    |      1,007 |
-| 12    |        575 |
-| 13    |        334 |
-| 14    |        189 |
-| 15    |        129 |
-| 16    |         67 |
-| 17    |         62 |
-| 18    |         32 |
-| 19    |         21 |
-| 20    |          8 |
-| 21    |         11 |
-| 22    |         11 |
-| 23    |          2 |
-| 24    |          1 |
-| 25    |          3 |
-| 27    |          2 |
-| 29    |          1 |
-| 32    |          1 |
-| 33    |          2 |
 </div>

 > **Discord-Dialogues** is a large-scale dataset of anonymized Discord conversations from late spring to early fall 2025 for training and evaluating realistic conversational AI models in a ChatML-friendly format.
+This dataset contains 7.5 million exchanges spread out over 17 million turns, with more than 145 million words.
 ---
 -   Training relevance/reward models
 -   Dialogue generation research
+Use case examples:
+-   [mookiezi/Discord-Micae-8B-Preview](https://huggingface.co/mookiezi/Discord-Micae-8B-Preview) — experimental larger model
+-   [mookiezi/Discord-Micae-Hermes-3-3B](https://huggingface.co/mookiezi/Discord-Micae-Hermes-3-3B) — stable smaller model
 ---
 This dataset was constructed with a custom multi-stage filtering toolkit:
 1. **SQL filters** (`filter.sql`)
+   Postgres regex/text filters for PII, bot/command patterns, links, embeds, and automation noise.
 2. **Smart cleaner** (`smartclean.py`)
+   Multi-stage process: normalize text, slang replacement, resample by length, and enforce structural validation.
+   Filters out structural noise such as code blocks, trading posts, and LFG.
 3. **Dedupe** (`dedupe.py`)
+   Deduplicates conversations by hashing message chains
+   Keeps only unique rows preferring the longest final assistant message when duplicates occur.
 4. **Fix End** (`fixend.py`)
+   Strips any prefix of spaces, commas, or non-emoticon colons before `<|im_end|>` to the plain token.
 5. **ToS risk filter** (`tos.py`)
+   Drops or redacts unsafe categories (sexual violence, CSA, slurs, harassment, doxxing, self-harm, extremism) and PII.
+   Uses fuzzy/leet/diacritic-aware regex.
 The full filtering scripts are open source at the [filters GitHub repository](https://github.com/mookiezi/filters).
 <div style="display:flex; gap:20px; align-items:flex-start;">
 <div>
+| Metric                 |         Value |
+| ---------------------- | ------------: |
+| Samples (count)        |     7,545,871 |
+| Min length (tokens)    |             7 |
+| Max length (tokens)    |         5,979 |
+| Mean length (tokens)   |         33.02 |
+| Median length (tokens) |            29 |
+| Std dev (tokens)       |         17.39 |
+| Skew                   |         26.46 |
+| Kurtosis               |      7,488.16 |
+| Total tokens           |   249,177,149 |
+| Total characters       | 1,291,390,677 |
+| Total words            |   145,878,876 |
+| Avg chars per sample   |        171.14 |
+| Avg words per sample   |         19.33 |
+| Avg chars per word     |          8.85 |
+| Tokens per char        |          0.19 |
+| Total assistant blocks |     9,340,986 |
 </div>
 <div>
+| Tokens    |     Count |
+| --------- | --------: |
+| 0–8       |         1 |
+| 8–16      |   110,310 |
+| 16–32     | 4,381,916 |
+| 32–64     | 2,674,572 |
+| 64–128    |   360,365 |
+| 128–256   |    18,082 |
+| 256–384   |       417 |
+| 384–512   |        75 |
+| 512–768   |        78 |
+| 768–1024  |        30 |
+| 1024–2048 |        18 |
+| 2048–4096 |         3 |
 </div>
 <div>
+| Turns |     Count |
+| ----- | --------: |
+| 2     | 5,969,540 |
+| 3     | 1,080,218 |
+| 4     |   319,720 |
+| 5     |   102,535 |
+| 6     |    41,236 |
+| 7     |    16,896 |
+| 8     |     7,713 |
+| 9     |     3,691 |
+| 10    |     1,866 |
+| 11    |     1,005 |
+| 12    |       575 |
+| 13    |       334 |
+| 14    |       189 |
+| 15    |       129 |
+| 16    |        67 |
+| 17    |        62 |
+| 18    |        32 |
+| 19    |        21 |
+| 20    |         8 |
+| 21    |        11 |
+| 22    |        11 |
+| 23    |         2 |
+| 24    |         1 |
+| 25    |         3 |
+| 27    |         2 |
+| 29    |         1 |
+| 32    |         1 |
+| 33    |         2 |
 </div>

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