Add frozen PLatour task inputs for private review

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+deepcoder/train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,43 @@
+---
+pretty_name: PLatour-DeepCoder-Data
+tags:
+  - platour
+configs:
+  - config_name: deepcoder
+    data_files:
+      - split: train
+        path: deepcoder/train.jsonl
+      - split: validation
+        path: deepcoder/validation.jsonl
+  - config_name: lcb
+    data_files:
+      - split: test
+        path: deepcoder/lcb.jsonl
+  - config_name: humaneval
+    data_files:
+      - split: test
+        path: deepcoder/humaneval.jsonl
+  - config_name: mbpp
+    data_files:
+      - split: test
+        path: deepcoder/mbpp.jsonl
+  - config_name: humaneval_template_adapted
+    data_files:
+      - split: test
+        path: deepcoder/humaneval_template_adapted.jsonl
+  - config_name: mbpp_template_adapted
+    data_files:
+      - split: test
+        path: deepcoder/mbpp_template_adapted.jsonl
+---
+# PLatour-DeepCoder-Data
+
+Frozen PLatour task inputs. File bytes and question order are preserved for exact SHA-256 checks.
+
+TRAIN/VAL checker cases are rebuilt from the pinned public DeepCoder revision using `python -m qwen35.data --output <fresh-case-directory>`. The original case archives are not included. LCB v6 checker cases are obtained separately with `qwen35.judge_cases`.
+
+Template-adapted HumanEval/MBPP prompts have separate subsets and must be labeled as such in results.
+
+## Sources and use
+
+Consult the manifest for source identities and checksums and the project task documentation for prompt and scoring contracts. This collection combines upstream datasets with different licenses. Their original terms continue to apply; the project code license does not replace the source dataset licenses.

deepcoder/train.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:733eb45d678e259a8b412fdf531b4ecc9c7d05e77f985f361d2a349abada363a
+size 56045447

manifest.json

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+{
+  "benchmark": {
+    "aime": {
+      "original_sha256": "3dea4608bcee4022d06d49f1f023794b5764724a0198f26695e2ba0ba5add954",
+      "rows": 135,
+      "sha256": "7abf38069ab7869a15b3a7231fe30fb6ce6cddba91002c1a72d031d3d2f53219"
+    },
+    "hmmt": {
+      "original_sha256": "d9146b5975aebd204270ccac4b9a4e22512ac0d0c16b44920fdbfaf8a46091c3",
+      "rows": 60,
+      "sha256": "41ba39d3c5f499fd26fb60b323b4a6f87c84c0447a7433f9e15dad68c5cfd977"
+    },
+    "humaneval": {
+      "original_source_sha256": "d1b5258081a34fc5e1290bdb6d51b75b0569b5f9e7fd62664ecabe9120157d29",
+      "rows": 164,
+      "sha256": "87730a855620be279b5aa5b5203e305bf49799b00f1d33824c1b34847ce2f36f"
+    },
+    "humaneval_template_adapted": {
+      "original_sha256": "837dbbef4829d6b1758bb382cf1236bac7ee5283aab1384971a155030da116d4",
+      "rows": 164,
+      "sha256": "009337570289320102f4316452a7e87bf3dd9500817bf1f2f6ad958159a9ecdd"
+    },
+    "imo": {
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+      "rows": 400,
+      "sha256": "4327145c167fa975a61b7d0157be748ba929b1b8a80ef0132ac4d8138a20c955"
+    },
+    "lcb": {
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+      "rows": 175,
+      "sha256": "fd678f414f64e7bb5bc4649ee2158c7ae9d7fb0f4d680e3d4833265ee1cf379d"
+    },
+    "mbpp": {
+      "original_source_sha256": "d1b5258081a34fc5e1290bdb6d51b75b0569b5f9e7fd62664ecabe9120157d29",
+      "rows": 500,
+      "sha256": "25f9ce53c4bc79223743e43d89e92442317c906a870d2664e2a4eb1ad22a0943"
+    },
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+      "sha256": "d90cbab9d122f0d753e233b82d900363de1f7e95a33e11ce39740c6639de757c"
+    }
+  },
+  "dapo": {
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+      "sha256": "8102875352847d0fa2709e7e5ea962360548d65e839e3b3e18da94b34fbb7141"
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+  "deepcoder": {
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+      "rows": 201,
+      "sha256": "7b5246c00ffcc6a7b40b24ce577e81e5e258cb233e6da97cfdf628602f784d93"
+    }
+  },
+  "format": "public original prompt token IDs and gold, no plaintext system messages",
+  "samples": {
+    "identity": "Original train/validation judge.sample_sha256 per record; obtain the pinned public unit tests independently.",
+    "upstream": "agentica-org/DeepCoder-Preview-Dataset",
+    "revision": "177913a7bd43791646ef6a43645caa3c871ab3db",
+    "reconstruction": "python -m qwen35.data --output <new-case-directory>",
+    "serialization": "UTF-8 nested JSON, ensure_ascii=False, inputs/outputs/fn_name order, trailing LF",
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+}