correct file context

README.md

@@ -2,11 +2,13 @@
 license: apache-2.0
 ---
 First install [Lean 4](https://leanprover-community.github.io/get_started.html). Then clone this repo:
+
 `git clone --recurse-submodules https://huggingface.co/datasets/elohn/miniCodeProps` 
+
 The outer LeanSrc folder is a [Lean Project](https://leanprover-community.github.io/install/project.html). You can open that folder directly in VSCode and check that the proofs in `LeanSrc/Sorts.lean` type check after following the instructions for working on an existing lean project in the Lean 4 documentation.
 The main miniCodeProps folder handles extracting the benchmark and calculating baselines. If anything fails when building Lean or running `lake exe cache get` from LeanSrc, the [Zulip Chat](https://leanprover.zulipchat.com/) is the best resource for troubleshooting.
 
-After cloning the repo, you will need to install [Lean REPL](https://github.com/leanprover-community/repl). By default, our scripts expect the `repl` folder to be directly inside the miniCodeProps folder. run `lake build` from within the `repl` folder.
+After cloning the repo, you will need to install [Lean REPL](https://github.com/leanprover-community/repl). By default, our scripts expect the `repl` folder to be directly inside the miniCodeProps folder. run    `lake build`    from within the `repl` folder.
 
 The `extract.py` script is used only to create the json-formatted benchmark.
 

baseline.py

@@ -76,7 +76,7 @@ def benchmark_nextstep(pwd, get_tactics, send_command, search_depth=3, repl_type
             if search_lvl > 0:
                 print(f'search at level {search_lvl}')
             for (curr_goal, ps, tac_seq) in old_ps:
-                next_tactics = get_tactics(curr_goal, prev_lines)
+                next_tactics = get_tactics(curr_goal, prev_lines + '\n'.join(tac_seq))
                 for next_tactic, _scr in sorted(next_tactics, key=lambda p: -p[1])[:3]:
                     print('\n'.join(tac_seq + [next_tactic]))
                     outp, new_proofState = send_tactic(lean_repl, next_tactic, ps)
@@ -340,7 +340,7 @@ if __name__ == '__main__':
 
     #benchmark_nextstep(pwd, get_tactics_interactive, send_command, repl_type=repl_type) # get_tactics_interactive for testing
 
-    pwd = parse_benchmark_input('codeprops_bench_lemmas.jsonl')
+    pwd = parse_benchmark_input('codeprops_bench_sorts.jsonl')
 
     if bench_type == 'nextstep':
         benchmark_nextstep(pwd, get_tactics_llmstep, send_command, repl_type=repl_type) # get_tactics_llmstep for benchmarking