Update dataset/model card

README.md

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+---
+license: mit
+tags: [code, assertion-completion, repository-level]
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: qna/train.parquet
+  - split: ir_val
+    path: qna/ir_val.parquet
+  - split: ir_test
+    path: qna/ir_test.parquet
+  - split: cr_val
+    path: qna/cr_val.parquet
+  - split: cr_test
+    path: qna/cr_test.parquet
+  - split: ood_test
+    path: qna/ood_test.parquet
+---
+
+# code2lora-data-snapshots — static-snapshot RepoPeftBench
+
+One row per (repository, anchor commit) for the **direct-projection
+Code2LoRA** trainer. Each commit row carries a 2048-dim
+Qwen3-Embedding repo-state vector; each QnA row is a single assertion
+extracted from a held-out test file at that snapshot.
+
+## Layout
+
+```
+commits/
+  train.parquet      400 anchor commits (one per train repo)
+  ir_val.parquet     in-repo-val snapshots from train repos
+  ir_test.parquet    in-repo-test snapshots from train repos
+  cr_val.parquet     held-out cr-val repos
+  cr_test.parquet    held-out cr-test repos
+  ood_test.parquet   post-cutoff OOD repos
+qna/
+  <same suite names>   matching assertion rows for each commit row
+```
+
+Splits are **named directly by paper suite** -- no extra filtering needed.
+
+## Companion datasets
+
+* `code2lora/code2lora-data-commits`   per-commit metadata + diff embeddings (for GRU)
+* `code2lora/code2lora-data-smartcap`  smart-capped per-commit QnAs (GRU training loss)
+* `code2lora/code2lora-data-ood`       full OOD commit-derived split