Document public organization copy and anonymous loading

README.md

@@ -15,8 +15,8 @@ configs:
 
 # Conflict Subset 40 Complementary
 
-Private dataset containing the 351 eligible benchmark samples not selected for
-`ZYXue/conflict_subset40`: 130 M3CoT, 139 Medical, and 82 DrivingVQA samples.
+Public dataset containing the 351 eligible benchmark samples not selected for
+`SLOCBench/conflict_subset40`: 130 M3CoT, 139 Medical, and 82 DrivingVQA samples.
 
 `Qwen3-VL-8B_AnswerDistribution` records the clean answer distribution from 20
 sampled rollouts of `Qwen/Qwen3-VL-8B-Instruct`; `unparsed` is explicit.
@@ -101,3 +101,14 @@ the same model. Different models can have different selected sample sets.
 The per-sample/model gold answer, correct count, actual target, flag, and source
 checksums are recorded in [the selection audit](selection/is_correct_audit.jsonl).
 <!-- model-correctness-flags:end -->
+
+## Anonymous access
+
+This public organization copy can be downloaded without a Hugging Face token.
+It preserves the source repository history so pinned fine-tuning snapshots remain reproducible.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("SLOCBench/conflict_subset40_complementary", split="test", token=False)
+```