Update README.md

README.md

@@ -14,6 +14,22 @@ size_categories:
 ---
 # Data Cleaning Pipeline
 
+## Dataset Statistics
+
+Final dataset: **2,208** high-quality conversations in `train.jsonl`. Each row is `{"messages": [...], "turns", "characters", "words", "distinct_words", "tokens", "turns_user", "turns_assistant", "median_turn_chars"}` — counters computed by `add_stats.py` at the repo root.
+
+| Metric | Total | Avg / row | Median / row |
+|---|---|---|---|
+| Rows | 2,208 | — | — |
+| Tokens (cl100k_base) | 333,300 | 151.0 | 144 |
+| Words | 260,590 | 118.0 | 115 |
+| Characters | 1,364,613 | 618.0 | 598 |
+| Turns | — | 7.22 | 6 |
+
+**Turn stats:** min 4, max 24. Interquartile range of chars/row: 545–672 (P25–P75); tokens/row: 134–160 (P25–P75). Median single-turn length: 80 chars.
+
+**Role balance:** 7,465 user turns (46.9%) vs 8,467 assistant turns (53.1%) across 15,932 total turns.
+
 I filtered the [`mookiezi/Discord-Dialogues`](https://huggingface.co/datasets/mookiezi/Discord-Dialogues) dataset to obtain only high-quality english conversation examples for fine-tuning or other analytical tasks.
 
 The total data set went from **7,303,464** rows to **2,208** rows after strict filtering to remove the following:
@@ -115,4 +131,4 @@ Of the 34 dropped rows (some triggered multiple rules):
 | 5 — Filler / spam | 2,242 | 2,208 | 34 |
 
 **Total removed: 7,301,256 rows (~99.97% of the raw dataset).**
-**Final clean dataset: 2,208 high-quality conversations.**
+**Final clean dataset: 2,208 high-quality conversations.**