Tighten public README

README.md

@@ -16,7 +16,7 @@ size_categories:
 
 # FalseMemBench
 
-`FalseMemBench` is a benchmark project for evaluating memory retrieval systems under adversarial distractors.
+`FalseMemBench` is an adversarial benchmark for evaluating memory retrieval systems under heavy distractor pressure.
 
 The goal is to measure whether a system can retrieve the right memory when many nearby but wrong memories are present.
 
@@ -33,6 +33,20 @@ It emphasizes:
 - speaker confusion
 - near-duplicate paraphrases
 
+## Public Surface
+
+The public release is intentionally small:
+
+- `data/cases.jsonl`: canonical benchmark dataset
+- `schema/case.schema.json`: case schema
+- `scripts/validate.py`: dataset validator
+- `scripts/run_tagmem_benchmark.py`: benchmark runner for `tagmem`
+- `scripts/run_mempalace_benchmark.py`: benchmark runner for MemPalace-style retrieval
+- `scripts/run_benchmark.py`: simple keyword baseline
+- `scripts/run_bm25_benchmark.py`: BM25 baseline
+- `scripts/run_dense_benchmark.py`: dense retrieval baseline
+- `docs/`: supporting benchmark notes
+
 ## Layout
 
 - `schema/case.schema.json`: benchmark case schema
@@ -52,6 +66,34 @@ It emphasizes:
 
 There are no public snapshot versions in this repository. Version history is tracked through git.
 
+## Running
+
+Validate the canonical dataset:
+
+```bash
+python3 scripts/validate.py
+```
+
+Run the simple keyword baseline:
+
+```bash
+python3 scripts/run_benchmark.py
+```
+
+Run the `tagmem` benchmark:
+
+```bash
+python3 scripts/run_tagmem_benchmark.py --tagmem-bin tagmem
+```
+
+Run the MemPalace-style benchmark:
+
+```bash
+python3 scripts/run_mempalace_benchmark.py
+```
+
+Optional BM25 and dense baselines use dependencies from `requirements.txt`.
+
 ## Case format
 
 Each case contains:
@@ -100,7 +142,7 @@ Current dataset size:
 
 - `573` cases
 
-## Intended use
+## Intended Use
 
 The benchmark is intended to be: