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Publish LongHarness benchmark snapshot

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Initial 200-instance release: four task suites, manifests, checksums, scorer, and verification tooling.

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  1. DATA_CHECKSUMS.sha256 +407 -0
  2. README.md +137 -0
  3. RELEASE.json +30 -0
  4. examples-manifest.jsonl +8 -0
  5. manifest.jsonl +200 -0
  6. score.py +116 -0
  7. tasks/constraint-solving-search/README.md +9 -0
  8. tasks/constraint-solving-search/answers/sample-00000.json +73 -0
  9. tasks/constraint-solving-search/answers/sample-00001.json +98 -0
  10. tasks/constraint-solving-search/answers/sample-00002.json +103 -0
  11. tasks/constraint-solving-search/answers/sample-00003.json +73 -0
  12. tasks/constraint-solving-search/answers/sample-00004.json +98 -0
  13. tasks/constraint-solving-search/answers/sample-00005.json +113 -0
  14. tasks/constraint-solving-search/answers/sample-00006.json +73 -0
  15. tasks/constraint-solving-search/answers/sample-00007.json +98 -0
  16. tasks/constraint-solving-search/answers/sample-00008.json +103 -0
  17. tasks/constraint-solving-search/answers/sample-00009.json +73 -0
  18. tasks/constraint-solving-search/answers/sample-00010.json +88 -0
  19. tasks/constraint-solving-search/answers/sample-00011.json +103 -0
  20. tasks/constraint-solving-search/answers/sample-00012.json +73 -0
  21. tasks/constraint-solving-search/answers/sample-00013.json +98 -0
  22. tasks/constraint-solving-search/answers/sample-00014.json +103 -0
  23. tasks/constraint-solving-search/answers/sample-00015.json +73 -0
  24. tasks/constraint-solving-search/answers/sample-00016.json +98 -0
  25. tasks/constraint-solving-search/answers/sample-00017.json +113 -0
  26. tasks/constraint-solving-search/answers/sample-00018.json +73 -0
  27. tasks/constraint-solving-search/answers/sample-00019.json +88 -0
  28. tasks/constraint-solving-search/answers/sample-00020.json +113 -0
  29. tasks/constraint-solving-search/answers/sample-00021.json +73 -0
  30. tasks/constraint-solving-search/answers/sample-00022.json +98 -0
  31. tasks/constraint-solving-search/answers/sample-00023.json +113 -0
  32. tasks/constraint-solving-search/answers/sample-00024.json +73 -0
  33. tasks/constraint-solving-search/answers/sample-00025.json +98 -0
  34. tasks/constraint-solving-search/answers/sample-00026.json +103 -0
  35. tasks/constraint-solving-search/answers/sample-00027.json +73 -0
  36. tasks/constraint-solving-search/answers/sample-00028.json +88 -0
  37. tasks/constraint-solving-search/answers/sample-00029.json +113 -0
  38. tasks/constraint-solving-search/answers/sample-00030.json +73 -0
  39. tasks/constraint-solving-search/answers/sample-00031.json +88 -0
  40. tasks/constraint-solving-search/answers/sample-00032.json +113 -0
  41. tasks/constraint-solving-search/answers/sample-00033.json +73 -0
  42. tasks/constraint-solving-search/answers/sample-00034.json +98 -0
  43. tasks/constraint-solving-search/answers/sample-00035.json +113 -0
  44. tasks/constraint-solving-search/answers/sample-00036.json +73 -0
  45. tasks/constraint-solving-search/answers/sample-00037.json +88 -0
  46. tasks/constraint-solving-search/answers/sample-00038.json +113 -0
  47. tasks/constraint-solving-search/answers/sample-00039.json +73 -0
  48. tasks/constraint-solving-search/answers/sample-00040.json +88 -0
  49. tasks/constraint-solving-search/answers/sample-00041.json +113 -0
  50. tasks/constraint-solving-search/answers/sample-00042.json +73 -0
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369
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370
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373
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380
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381
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382
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383
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385
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388
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README.md ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # LongHarness
2
+
3
+ LongHarness evaluates language-model harnesses on long-context tasks that
4
+ require retrieval, verification, and multi-step reasoning. It contains four
5
+ task suites and 200 evaluation instances.
6
+
7
+ ## Links
8
+
9
+ - Project website: `https://stringnlplab.github.io/longharness` (planned)
10
+ - Full dataset: [StringNLP/longharness](https://huggingface.co/datasets/StringNLP/longharness)
11
+ - Paper: forthcoming
12
+
13
+ The GitHub repository contains evaluation code, documentation, and two complete
14
+ examples from each task. The full benchmark, including all contexts, manifests,
15
+ and answer keys, will be distributed through Hugging Face.
16
+
17
+ ## Tasks
18
+
19
+ | Task ID | Paper name | Full instances | GitHub examples |
20
+ |---|---|---:|---:|
21
+ | `constraint-solving-search` | Constraint Solving Search | 50 | 2 |
22
+ | `equivalent-program-pair-search` | Equivalent Program Pair Search | 50 | 2 |
23
+ | `program-execution-tracing` | Program Execution Tracing | 50 | 2 |
24
+ | `outlier-memo-detection` | Outlier Memo Detection | 50 | 2 |
25
+
26
+ Task-specific descriptions and response formats are under `tasks/<task>/`.
27
+
28
+ ## Repository Contents
29
+
30
+ ```text
31
+ README.md
32
+ RELEASE.json
33
+ examples-manifest.jsonl # eight examples tracked by GitHub
34
+ score.py
35
+ tasks/
36
+ <task>/
37
+ README.md
38
+ contexts/
39
+ sample-00000.md # tracked example
40
+ sample-00001.md # tracked example
41
+ answers/
42
+ sample-00000.json
43
+ sample-00001.json
44
+ tools/
45
+ stage_huggingface.py
46
+ verify_release.py
47
+ ```
48
+
49
+ The full Hugging Face snapshot additionally contains:
50
+
51
+ ```text
52
+ manifest.jsonl # all 200 instances
53
+ DATA_CHECKSUMS.sha256
54
+ tasks/<task>/manifest.jsonl
55
+ tasks/<task>/contexts/ # 50 contexts per task
56
+ tasks/<task>/answers/ # 50 answer keys per task
57
+ ```
58
+
59
+ Contexts are model-visible. Answer files must remain outside the agent's
60
+ workspace during evaluation.
61
+
62
+ ## Getting the Data
63
+
64
+ The complete release is distributed through Hugging Face:
65
+
66
+ ```bash
67
+ hf download StringNLP/longharness \
68
+ --repo-type dataset \
69
+ --local-dir longharness
70
+ ```
71
+
72
+ Until then, this repository's tracked examples can be used to inspect the task
73
+ formats and test integrations.
74
+
75
+ ## Verify the Data
76
+
77
+ The verifier automatically checks the full 200-instance release when
78
+ `manifest.jsonl` is available. In a GitHub-only checkout, it checks the eight
79
+ tracked examples instead.
80
+
81
+ ```bash
82
+ python tools/verify_release.py
83
+ ```
84
+
85
+ To explicitly check only the tracked examples:
86
+
87
+ ```bash
88
+ python tools/verify_release.py --examples
89
+ ```
90
+
91
+ ## Submission Format
92
+
93
+ `score.py` accepts one JSON object per line with `task`, `index`, and
94
+ `prediction`. Predictions use these schemas:
95
+
96
+ - Constraint Solving Search: `{"matches": [...], "evidence": {...}}`
97
+ - Equivalent Program Pair Search: `[[cell_a, cell_b], ...]`
98
+ - Program Execution Tracing: `{"answer": {...}, "evidence": [...]}`
99
+ - Outlier Memo Detection: `["M-001", "M-002", ...]`
100
+
101
+ Score a full release with:
102
+
103
+ ```bash
104
+ python score.py predictions.jsonl --output scores.json
105
+ ```
106
+
107
+ Score only the GitHub examples with:
108
+
109
+ ```bash
110
+ python score.py predictions.jsonl \
111
+ --manifest examples-manifest.jsonl \
112
+ --output scores.json
113
+ ```
114
+
115
+ The primary metric is exact instance accuracy. The scorer also reports
116
+ answer-only accuracy for tasks whose required response includes provenance.
117
+
118
+ ## Distribution
119
+
120
+ The repositories serve distinct roles:
121
+
122
+ - **GitHub:** code, documentation, issue tracking, and two examples per task.
123
+ - **Hugging Face:** the complete versioned dataset and answer keys.
124
+ - **Project website:** task overview, results, paper, and links to both repos.
125
+
126
+ The planned website URL does not require a separate organization homepage
127
+ repository. A repository named `longharness` under the `stringnlplab` GitHub
128
+ organization can publish a project site directly at
129
+ `https://stringnlplab.github.io/longharness` through GitHub Pages.
130
+
131
+ Maintainer instructions for creating the GitHub repository, staging the full
132
+ Hugging Face snapshot, and enabling the website are in `PUBLISHING.md`.
133
+
134
+ ## Release Status
135
+
136
+ The data snapshot and scoring code are prepared. Before public release, replace
137
+ the placeholder links and add the final license and citation metadata.
RELEASE.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "benchmark": "LongHarness",
3
+ "examples": 8,
4
+ "examples_manifest_sha256": "8cce04cda81bd565901978cd4a0c89cf518b390775274cb1b6e847e9d3da5447",
5
+ "instances": 200,
6
+ "manifest_sha256": "7b671ff6c836f9f11ff8b08c4e6422943783eeec70841af8edd79c436d9ff9f9",
7
+ "paper_task_names": {
8
+ "constraint-solving-search": "Constraint Solving Search",
9
+ "equivalent-program-pair-search": "Equivalent Program Pair Search",
10
+ "outlier-memo-detection": "Outlier Memo Detection",
11
+ "program-execution-tracing": "Program Execution Tracing"
12
+ },
13
+ "schema_version": 1,
14
+ "sources": {
15
+ "constraint-solving-search": "commonsense-constraints-v1-50",
16
+ "equivalent-program-pair-search": "code-only-v3-screened-clarified-query-50",
17
+ "outlier-memo-detection": [
18
+ "v5.9.1",
19
+ "v5.9.1.cont"
20
+ ],
21
+ "program-execution-tracing": "notebook-export-v18-128k-python-50"
22
+ },
23
+ "task_manifest_sha256": {
24
+ "constraint-solving-search": "0fbbf33df78768ecc26d11d6b750ded7d795b8b59a7251f853b3b22c81545c76",
25
+ "equivalent-program-pair-search": "77075ad019e6aa5a5220c11ce9b02614aa79d9b6d60ca5a1ffaf80f84dc9096e",
26
+ "outlier-memo-detection": "216d5009472a1441981145859b0bba6fb445b700cf7a8a1914d807c188608142",
27
+ "program-execution-tracing": "184fb3d23838938a6958db16ed258ed086b973e54c9f1d70ea883fcb45d04975"
28
+ },
29
+ "tasks": 4
30
+ }
examples-manifest.jsonl ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {"answer_path": "tasks/constraint-solving-search/answers/sample-00000.json", "answer_sha256": "34416b82d7682e3f8f4e1839f65c8866e7b13708aae8130cace6503dc8c26ae8", "context_bytes": 473043, "context_path": "tasks/constraint-solving-search/contexts/sample-00000.md", "context_sha256": "51ab4d7e8a19ef5a9f66c5d501f5b147f4c84c7a5ac4e024c3abfc459818ba9e", "index": 0, "qwen_token_count": 120257, "task": "constraint-solving-search"}
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+ {"answer_path": "tasks/equivalent-program-pair-search/answers/sample-00000.json", "answer_sha256": "6bc231c70e3f60143a5421ff35ddde3308e0bb6d5b3f7515c905df68d7131577", "context_bytes": 252876, "context_path": "tasks/equivalent-program-pair-search/contexts/sample-00000.md", "context_sha256": "8aaaa335dc9929279d791d9dd060bdfa703cc3b8db353b822140ecbff6ca526b", "index": 0, "program_count": 200, "qwen_token_count": 86437, "task": "equivalent-program-pair-search"}
4
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6
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+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00000.json", "answer_sha256": "7652f016e7c0832c35b52b5c446a46953b1427cd539bd9f0df1415c7c5686396", "context_bytes": 301470, "context_path": "tasks/outlier-memo-detection/contexts/sample-00000.md", "context_sha256": "07ae94ead941148280290f014d5cde70859448ec71fe1f93552088d38253f699", "index": 0, "memo_count": 700, "source_row": 0, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
8
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00001.json", "answer_sha256": "fbe0256dfe8ed2e955bee755c1ebac289fd7003b5dde6455e04f62b01d316846", "context_bytes": 301555, "context_path": "tasks/outlier-memo-detection/contexts/sample-00001.md", "context_sha256": "4073cffa952a5b3b0ec4e2ff9e73980b1684067c51ae1a3e4108e8ae582d1a81", "index": 1, "memo_count": 700, "source_row": 1, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
manifest.jsonl ADDED
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1
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+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00019.json", "context_bytes": 307122, "context_path": "tasks/outlier-memo-detection/contexts/sample-00019.md", "context_sha256": "7472c7afd1d8bab5b517162ca1a6b9578c699d29b27453b407859ff958532216", "index": 19, "memo_count": 700, "source_row": 19, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
171
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00020.json", "context_bytes": 315559, "context_path": "tasks/outlier-memo-detection/contexts/sample-00020.md", "context_sha256": "fff508388a9e2c41fa2f8a4e40b85dd6ca7f762cbf4ad159ad2763bf9bab7efb", "index": 20, "memo_count": 700, "source_row": 20, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
172
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00021.json", "context_bytes": 315107, "context_path": "tasks/outlier-memo-detection/contexts/sample-00021.md", "context_sha256": "0ed11546e93c8ae2f8fd2e4d8117a5f367feb1018815e4a8ae5948065c8ae704", "index": 21, "memo_count": 700, "source_row": 21, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
173
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00022.json", "context_bytes": 315386, "context_path": "tasks/outlier-memo-detection/contexts/sample-00022.md", "context_sha256": "ff094cbff1d5aea690c39b5da4618df4edf8c6a7753d8aa269d018d0cb737c85", "index": 22, "memo_count": 700, "source_row": 22, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
174
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00023.json", "context_bytes": 315158, "context_path": "tasks/outlier-memo-detection/contexts/sample-00023.md", "context_sha256": "47b08018e24820537bd438af1d8c1d4804783235fa6d6ae85aac6efe3eebc6a9", "index": 23, "memo_count": 700, "source_row": 23, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
175
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00024.json", "context_bytes": 315335, "context_path": "tasks/outlier-memo-detection/contexts/sample-00024.md", "context_sha256": "ab9985b0d2003b2102415d848cb4e6f0b29e50c22c23ba735895f4a41019ec2e", "index": 24, "memo_count": 700, "source_row": 24, "source_split": "base", "statement_count": 2500, "task": "outlier-memo-detection"}
176
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00025.json", "context_bytes": 315797, "context_path": "tasks/outlier-memo-detection/contexts/sample-00025.md", "context_sha256": "a6b3f89529d0449b8ab2183cdd2701c7fd7004c8a3ddac571c316b8ad7b73159", "index": 25, "memo_count": 700, "source_row": 0, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
177
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00026.json", "context_bytes": 316460, "context_path": "tasks/outlier-memo-detection/contexts/sample-00026.md", "context_sha256": "4c9d69fa508cd68ef74ead7cb6a38b7a372f167212855356b1b415f35b7f93ee", "index": 26, "memo_count": 700, "source_row": 1, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
178
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00027.json", "context_bytes": 315758, "context_path": "tasks/outlier-memo-detection/contexts/sample-00027.md", "context_sha256": "5b9088fb9b19f920ef323bd50526b7106da8891212440536113b7e5b276a2dde", "index": 27, "memo_count": 700, "source_row": 2, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
179
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00028.json", "context_bytes": 316187, "context_path": "tasks/outlier-memo-detection/contexts/sample-00028.md", "context_sha256": "d45ec0c0432b8146f2adf16b75bf1575f1b68384ff36c84d6744eb506e063b4b", "index": 28, "memo_count": 700, "source_row": 3, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
180
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00029.json", "context_bytes": 316529, "context_path": "tasks/outlier-memo-detection/contexts/sample-00029.md", "context_sha256": "105dbd73bb6fbe3665b1245035689553775b567e008179d0098c48c41bce8e75", "index": 29, "memo_count": 700, "source_row": 4, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
181
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00030.json", "context_bytes": 333122, "context_path": "tasks/outlier-memo-detection/contexts/sample-00030.md", "context_sha256": "799da1072bd76ed12f2eca4e6b01044810f2d0096ee6a77fe70e6ffeb8529cb2", "index": 30, "memo_count": 700, "source_row": 5, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
182
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00031.json", "context_bytes": 333264, "context_path": "tasks/outlier-memo-detection/contexts/sample-00031.md", "context_sha256": "06e07f1924a52ae758901e38826a6eab878c3f219fbebacf31fc82976b0db846", "index": 31, "memo_count": 700, "source_row": 6, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
183
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00032.json", "context_bytes": 332940, "context_path": "tasks/outlier-memo-detection/contexts/sample-00032.md", "context_sha256": "0c1b3e3c2198b83be28006fbf657bb3933227f960c4dd9cfee9c194da6f24cfa", "index": 32, "memo_count": 700, "source_row": 7, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
184
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00033.json", "context_bytes": 332481, "context_path": "tasks/outlier-memo-detection/contexts/sample-00033.md", "context_sha256": "f66381245b255d0c3c8cb93e01bbe514ea64e8955b61bd9ce46f31d48168c103", "index": 33, "memo_count": 700, "source_row": 8, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
185
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00034.json", "context_bytes": 332762, "context_path": "tasks/outlier-memo-detection/contexts/sample-00034.md", "context_sha256": "db0f49cb911674ce47694aee0f437502a0ed9537dfdcce2a432daa0e11c2fff5", "index": 34, "memo_count": 700, "source_row": 9, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
186
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00035.json", "context_bytes": 333595, "context_path": "tasks/outlier-memo-detection/contexts/sample-00035.md", "context_sha256": "b6a957508e8495b733f2b456b49faf8f6ad28504859f53b56cdc08910841205f", "index": 35, "memo_count": 700, "source_row": 10, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
187
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00036.json", "context_bytes": 333807, "context_path": "tasks/outlier-memo-detection/contexts/sample-00036.md", "context_sha256": "fbc1b644383372781d3dfe0446da1c52845cdc19857966222a1400f18240ca4f", "index": 36, "memo_count": 700, "source_row": 11, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
188
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00037.json", "context_bytes": 333863, "context_path": "tasks/outlier-memo-detection/contexts/sample-00037.md", "context_sha256": "84f8a2fd5dbab7349b4bc2023c5c1a85f7d871dd7302cb4c37619e28a7ac1442", "index": 37, "memo_count": 700, "source_row": 12, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
189
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00038.json", "context_bytes": 334036, "context_path": "tasks/outlier-memo-detection/contexts/sample-00038.md", "context_sha256": "db3ac940fe5a2f6bae385af04f56445cd1269320239102eb5abd1c9edea5f5e0", "index": 38, "memo_count": 700, "source_row": 13, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
190
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00039.json", "context_bytes": 333884, "context_path": "tasks/outlier-memo-detection/contexts/sample-00039.md", "context_sha256": "c41f5f9ac2600d348526c3d096e40f44c06a256e97f7d7077f2986b6137495f2", "index": 39, "memo_count": 700, "source_row": 14, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
191
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00040.json", "context_bytes": 344540, "context_path": "tasks/outlier-memo-detection/contexts/sample-00040.md", "context_sha256": "f79cfc9ed2773481808201bfb359f6846f3b5a2d554e36ae5279548b353d92ed", "index": 40, "memo_count": 700, "source_row": 15, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
192
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00041.json", "context_bytes": 344696, "context_path": "tasks/outlier-memo-detection/contexts/sample-00041.md", "context_sha256": "efb7e4b6c3d6b97cab1d8791de186e045649171bc3224942215289ac68684e45", "index": 41, "memo_count": 700, "source_row": 16, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
193
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00042.json", "context_bytes": 345108, "context_path": "tasks/outlier-memo-detection/contexts/sample-00042.md", "context_sha256": "13903c73b9d0de8e814ad707fdbbf39a3e2e64813dc68d36232298297d2a6b6e", "index": 42, "memo_count": 700, "source_row": 17, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
194
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00043.json", "context_bytes": 344119, "context_path": "tasks/outlier-memo-detection/contexts/sample-00043.md", "context_sha256": "bd1910858f143766c0d09c71ba0f0300bb1d92b4f538b09b7c2ebbc330849a27", "index": 43, "memo_count": 700, "source_row": 18, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
195
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00044.json", "context_bytes": 344228, "context_path": "tasks/outlier-memo-detection/contexts/sample-00044.md", "context_sha256": "727cb61e4d3ef9a8feecf6ed02a69ca55db2522b00c6e46af625ead21669ff3d", "index": 44, "memo_count": 700, "source_row": 19, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
196
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00045.json", "context_bytes": 338966, "context_path": "tasks/outlier-memo-detection/contexts/sample-00045.md", "context_sha256": "01b71fde9690eff96db921b0d949f593b0e84e822804c0897602339c68cabc2f", "index": 45, "memo_count": 700, "source_row": 20, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
197
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00046.json", "context_bytes": 339723, "context_path": "tasks/outlier-memo-detection/contexts/sample-00046.md", "context_sha256": "e071c0c801bfa3fb4cdb9f24b504f067b0a85c8bf12a40101dc437580736fb87", "index": 46, "memo_count": 700, "source_row": 21, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
198
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00047.json", "context_bytes": 339433, "context_path": "tasks/outlier-memo-detection/contexts/sample-00047.md", "context_sha256": "a676c9eca096abc95bc0faf2b9bf43ce6f09f10fba385713f0a0b7b093558060", "index": 47, "memo_count": 700, "source_row": 22, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
199
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00048.json", "context_bytes": 338184, "context_path": "tasks/outlier-memo-detection/contexts/sample-00048.md", "context_sha256": "20281150118843efe17aa3a42626ca40443ff16af688a81dd5c79b98f5bccfdb", "index": 48, "memo_count": 700, "source_row": 23, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
200
+ {"answer_path": "tasks/outlier-memo-detection/answers/sample-00049.json", "context_bytes": 339169, "context_path": "tasks/outlier-memo-detection/contexts/sample-00049.md", "context_sha256": "d70020c1067064f7fbb6a43fa678a5c0c82988b497919c3646becdab40abbb30", "index": 49, "memo_count": 700, "source_row": 24, "source_split": "continuation", "statement_count": 2500, "task": "outlier-memo-detection"}
score.py ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+ """Score structured LongHarness predictions with exact task metrics."""
3
+
4
+ from __future__ import annotations
5
+
6
+ import argparse
7
+ from collections import defaultdict
8
+ import json
9
+ from pathlib import Path
10
+ from typing import Any
11
+
12
+
13
+ RELEASE = Path(__file__).resolve().parent
14
+
15
+
16
+ def canonical_pairs(value: Any) -> list[list[int]] | None:
17
+ if not isinstance(value, list):
18
+ return None
19
+ pairs = []
20
+ for pair in value:
21
+ if not isinstance(pair, list) or len(pair) != 2 or not all(isinstance(item, int) for item in pair):
22
+ return None
23
+ a, b = sorted(pair)
24
+ if a == b:
25
+ return None
26
+ pairs.append([a, b])
27
+ return sorted(pairs)
28
+
29
+
30
+ def score_one(task: str, prediction: Any, gold: dict[str, Any]) -> dict[str, Any]:
31
+ if task == "constraint-solving-search":
32
+ submitted = prediction if isinstance(prediction, dict) else {}
33
+ answer_exact = set(submitted.get("matches", [])) == set(gold["matches"])
34
+ evidence_exact = submitted.get("evidence") == gold["evidence"]
35
+ return {"answer_exact": answer_exact, "evidence_exact": evidence_exact, "exact": answer_exact}
36
+ if task == "equivalent-program-pair-search":
37
+ predicted = canonical_pairs(prediction)
38
+ expected = canonical_pairs(gold["expected_pairs"])
39
+ return {"answer_exact": predicted == expected, "exact": predicted == expected, "format_valid": predicted is not None}
40
+ if task == "program-execution-tracing":
41
+ submitted = prediction if isinstance(prediction, dict) else {}
42
+ answer_exact = submitted.get("answer") == gold["answer"]
43
+ evidence = submitted.get("evidence")
44
+ evidence_exact = isinstance(evidence, list) and set(evidence) == set(gold["evidence"]) and len(evidence) == len(set(evidence))
45
+ return {"answer_exact": answer_exact, "evidence_exact": evidence_exact, "exact": answer_exact and evidence_exact}
46
+ if task == "outlier-memo-detection":
47
+ predicted = prediction if isinstance(prediction, list) else []
48
+ exact = set(predicted) == set(gold["memo_ids"]) and len(predicted) == len(set(predicted))
49
+ return {"answer_exact": exact, "exact": exact}
50
+ raise ValueError(f"Unknown task: {task}")
51
+
52
+
53
+ def main() -> None:
54
+ parser = argparse.ArgumentParser()
55
+ parser.add_argument("predictions", type=Path)
56
+ parser.add_argument(
57
+ "--manifest",
58
+ type=Path,
59
+ help="Manifest to score; defaults to the full manifest or the tracked examples manifest.",
60
+ )
61
+ parser.add_argument("--output", type=Path, default=Path("scores.json"))
62
+ args = parser.parse_args()
63
+ manifest_path = args.manifest
64
+ if manifest_path is None:
65
+ manifest_path = RELEASE / "manifest.jsonl"
66
+ if not manifest_path.is_file():
67
+ manifest_path = RELEASE / "examples-manifest.jsonl"
68
+ elif not manifest_path.is_absolute():
69
+ manifest_path = RELEASE / manifest_path
70
+ manifest = {
71
+ (row["task"], int(row["index"])): row
72
+ for row in (
73
+ json.loads(line)
74
+ for line in manifest_path.read_text(encoding="utf-8").splitlines()
75
+ if line.strip()
76
+ )
77
+ }
78
+ predictions = {}
79
+ for line_number, line in enumerate(args.predictions.read_text(encoding="utf-8").splitlines(), 1):
80
+ if not line.strip():
81
+ continue
82
+ row = json.loads(line)
83
+ key = (row["task"], int(row["index"]))
84
+ if key in predictions:
85
+ raise ValueError(f"Duplicate prediction for {key} at line {line_number}")
86
+ predictions[key] = row.get("prediction")
87
+ details = []
88
+ totals: dict[str, dict[str, int]] = defaultdict(lambda: {"correct": 0, "total": 0, "answer_only": 0})
89
+ for key, item in sorted(manifest.items()):
90
+ gold = json.loads((RELEASE / item["answer_path"]).read_text(encoding="utf-8"))
91
+ result = score_one(key[0], predictions.get(key), gold)
92
+ details.append({"task": key[0], "index": key[1], "submitted": key in predictions, **result})
93
+ totals[key[0]]["total"] += 1
94
+ totals[key[0]]["correct"] += int(result["exact"])
95
+ totals[key[0]]["answer_only"] += int(result["answer_exact"])
96
+ summary = {
97
+ task: {
98
+ **values,
99
+ "accuracy": values["correct"] / values["total"],
100
+ "answer_only_accuracy": values["answer_only"] / values["total"],
101
+ }
102
+ for task, values in sorted(totals.items())
103
+ }
104
+ report = {
105
+ "benchmark": "LongHarness",
106
+ "details": details,
107
+ "manifest": str(manifest_path),
108
+ "macro_accuracy": sum(value["accuracy"] for value in summary.values()) / len(summary),
109
+ "summary": summary,
110
+ }
111
+ args.output.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8")
112
+ print(json.dumps({"macro_accuracy": report["macro_accuracy"], "summary": summary}, indent=2))
113
+
114
+
115
+ if __name__ == "__main__":
116
+ main()
tasks/constraint-solving-search/README.md ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # Constraint Solving Search
2
+
3
+ Each instance contains documents about 160 people and a query with three to
4
+ five conditions. Exactly five people satisfy every condition. Relevant facts
5
+ are scattered across documents and mixed with close counterexamples.
6
+
7
+ The prediction contains the sorted qualifying person IDs and supporting passage
8
+ IDs for each displayed condition. Primary exact accuracy compares the person-ID
9
+ set; the release scorer separately reports exact evidence.
tasks/constraint-solving-search/answers/sample-00000.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "evidence": {
3
+ "P-018": {
4
+ "c1": [
5
+ "D-00685",
6
+ "D-00852"
7
+ ],
8
+ "c2": [
9
+ "D-02391"
10
+ ],
11
+ "c3": [
12
+ "D-01233"
13
+ ]
14
+ },
15
+ "P-076": {
16
+ "c1": [
17
+ "D-01388",
18
+ "D-01707"
19
+ ],
20
+ "c2": [
21
+ "D-01617"
22
+ ],
23
+ "c3": [
24
+ "D-00528"
25
+ ]
26
+ },
27
+ "P-096": {
28
+ "c1": [
29
+ "D-01721",
30
+ "D-02183"
31
+ ],
32
+ "c2": [
33
+ "D-01474"
34
+ ],
35
+ "c3": [
36
+ "D-00827"
37
+ ]
38
+ },
39
+ "P-101": {
40
+ "c1": [
41
+ "D-00080",
42
+ "D-00761"
43
+ ],
44
+ "c2": [
45
+ "D-00288"
46
+ ],
47
+ "c3": [
48
+ "D-00516"
49
+ ]
50
+ },
51
+ "P-155": {
52
+ "c1": [
53
+ "D-00655",
54
+ "D-01388"
55
+ ],
56
+ "c2": [
57
+ "D-01190"
58
+ ],
59
+ "c3": [
60
+ "D-00116"
61
+ ]
62
+ }
63
+ },
64
+ "matches": [
65
+ "P-018",
66
+ "P-076",
67
+ "P-096",
68
+ "P-101",
69
+ "P-155"
70
+ ],
71
+ "schema_version": 1,
72
+ "task": "constraint-solving-search"
73
+ }
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