Add fixed Terminal-Bench 2.1 53/36 tasks and training retrieval pool

README.md

@@ -6,14 +6,27 @@ tags:
 - agents
 - memory
 - wildclawbench
+- terminal-bench
 - reproducibility
 size_categories:
-- n<1K
+- 1K<n<10K
 ---
 # Memory DCI
 
 Minimal reproducibility data for [Memory_DCI](https://github.com/FlyPig23/Memory_DCI):
-V1 and V1.1 baselines, and the V5 task-local memory workflow.
+V1 and V1.1 baselines, and the V5 task-local memory workflow for WildClawBench,
+plus the standalone Terminal-Bench 2.1 baseline/V5 reproduction package.
+
+## Terminal-Bench 2.1
+
+The [`terminal_bench_2_1/`](terminal_bench_2_1) folder contains revision 6 official
+task packages, the fixed **53 training / 36 test** split and exact test order,
+and the training-only retrieval pool. It has independent manifests, checksums,
+source/license notes and documented redactions. It excludes active experiments,
+local credentials and duplicate raw downloads. See the
+[TB2.1 running instructions](https://github.com/FlyPig23/Memory_DCI/tree/main/experiment/benchmarks/terminal_bench_2_1).
+
+## WildClawBench (original 36 training / 24 test)
 
 `inputs.tar.gz` contains the fixed 36-training/24-test split, 432 normalized
 training trajectories from 12 models, 381 referenced images, task metadata,

terminal_bench_2_1/README.md

@@ -0,0 +1,45 @@
+# Terminal-Bench 2.1 frozen inputs
+
+This directory adds the current Memory DCI baseline and V5 workflow inputs to `FlyPig23/memory_dci`. The existing WildClaw data at the dataset root is separate and unchanged.
+
+The frozen split is **53 training tasks and 36 held-out test tasks**, covering all 89 tasks from [Terminal-Bench 2.1 registry revision 6](https://hub.harborframework.com/datasets/terminal-bench/terminal-bench-2-1/6). Registry package version `2.0.2` belongs to benchmark **2.1**. Browse exact task identities, versions, families and the ordered test schedule in [task_split.json](task_split.json) or [task_split.csv](task_split.csv). Split SHA-256: `4f437d77ebd35e420fe8dbd02fa34395f91c8f9a7d541f1d61798482e52938b6`. The split bytes and 36-task order match the original baseline and V5 protocols; their source hashes are in [manifest.json](manifest.json).
+
+The split was frozen with seed 20260908 before the experiment. Fourteen researcher-defined categories and 54 fine families describe task transfer structure. Twenty-nine multi-task families deliberately have members in both partitions; this is a task-level holdout, not an unseen-family evaluation.
+
+| Category | Description | Training | Test |
+|---|---|---:|---:|
+| C01 | Source builds, compatibility and code repair | 5 | 4 |
+| C02 | Git history, recovery, merging and deployment | 4 | 2 |
+| C03 | Persistent network services and protocol configuration | 3 | 2 |
+| C04 | Runtime control, emulation and executable interfaces | 5 | 3 |
+| C05 | Web input validation and HTML security | 2 | 1 |
+| C06 | Cryptanalysis and secret recovery | 3 | 2 |
+| C07 | Statistical modeling, numerical inference and optimization | 7 | 4 |
+| C08 | Molecular sequence and construct design | 2 | 1 |
+| C09 | Structured data transformations, queries and text extraction | 5 | 4 |
+| C10 | SQLite storage recovery | 1 | 1 |
+| C11 | Neural model, embedding and inference workflows | 6 | 5 |
+| C12 | Constrained language and program synthesis | 5 | 3 |
+| C13 | Document and media interpretation or transformation | 4 | 3 |
+| C14 | Compact native program reconstruction | 1 | 1 |
+| Total | | 53 | 36 |
+
+The V5 pool contains **53 training task cards and 5,785 public historical trajectory bodies** from 5,830 source records. Forty-five bodies were unavailable from the official source; 5,782 bodies use rendered ATIF and 3 use the native fallback. All available bodies match the exact training task version. No held-out task trajectory is included. Baseline execution needs only metadata and task packages; V5 also needs the pool. This release contains inputs and provenance, not outcomes from the current live experiments.
+
+| Archive | Compressed bytes | Files | SHA-256 |
+|---|---:|---:|---|
+| [metadata.tar.gz](metadata.tar.gz) | 2,342,930 | 14 | `45b621c8f10e954283e72b69ba554f603087a73e653d186395050118147d362d` |
+| [pool.tar.gz](pool.tar.gz) | 837,544,621 | 5,840 | `a37387b22895b5b512982bfdd2e9dfcf804d9a4beed05170bfb08f2b1b43f802` |
+| [tasks.tar.gz](tasks.tar.gz) | 52,325,571 | 946 | `07d1bf2f159f16bbbd4a4b40902b70a7053906c751edf98553f82623c9d18cc9` |
+
+From a checkout of [Memory_DCI](https://github.com/FlyPig23/Memory_DCI), restore and verify everything with:
+
+```bash
+python3 -m experiment.benchmarks.terminal_bench_2_1.scripts.download_data
+```
+
+Add `--without-pool` for baseline inputs, `--revision DATASET_COMMIT` to select an immutable publication, or `--local-dataset /path/to/terminal_bench_2_1` for downloaded archives. `--root /path/to/fresh/checkout` changes the destination; `--verify-only` checks existing restored inputs. The downloader checks archive and per-file SHA-256, task registry digests, split identity/order, and training-only pool membership; conflicting local data is rejected. It never starts an experiment. Archive paths restore under `experiment/benchmarks/terminal_bench_2_1/`.
+
+Public export sanitization changed **32 trajectory files** and updated their pool-manifest hashes. Replacements: credential_assignment: 4, github_token: 18, google_api_key: 23, huggingface_token: 8, private_key: 7. [redactions.json](redactions.json) records source and exported hashes for every changed file; original data is not claimed byte-identical for those derivatives. All official task package files remain byte-identical. Five synthetic `FAKE_*` credential constants explicitly defined in the official `sanitize-git-repo` test fixture are preserved because they are benchmark inputs; their source file and value hashes are recorded as scanner exceptions. No known local credentials or unexpected scanned credential patterns remain. Generated OpenSSL private keys are redacted from trajectory bodies. Authentication files, private homes, current local runs, raw duplicate downloads, and caches are excluded.
+
+Task definitions come from the [official task repository](https://github.com/harbor-framework/terminal-bench-2-1), which uses [Apache-2.0](TERMINAL_BENCH_LICENSE). Existing file-level notices are preserved. This is **not** a blanket Apache license for third-party historical trajectories or embedded assets. The current Hub trajectory pages do not provide an independently identified blanket redistribution license; source-specific rights and the [Hub terms](https://hub.harborframework.com/terms) continue to apply. Per-record source URLs, task versions and source hashes are retained in the archived manifests. See [provenance.json](provenance.json) for source details and the upstream license hash.

terminal_bench_2_1/TERMINAL_BENCH_LICENSE

@@ -0,0 +1,201 @@
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terminal_bench_2_1/metadata.tar.gz

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+size 2342930

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terminal_bench_2_1/provenance.json

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+{
+  "dataset_pin": {
+    "benchmark_family": "Terminal-Bench 2.1",
+    "dataset": "terminal-bench/terminal-bench-2-1",
+    "dataset_content_hash": "7d7bdc1cbedad549fc1140404bd4dc45e5fd0ea7c4186773687d177ad3a0699a",
+    "dataset_version_id": "f92eea12-ff70-4d30-ace0-003abf294998",
+    "frozen_at": "2026-10-02T23:48:24.427487+00:00",
+    "note": "Package semantic version 2.0.2 is within benchmark Terminal-Bench 2.1, not Terminal-Bench 2.0. Task file digests checked separately in task_integrity.json.",
+    "package_version": "2.0.2",
+    "revision": 6,
+    "source_url": "https://hub.harborframework.com/datasets/terminal-bench/terminal-bench-2-1/6",
+    "task_count": 89,
+    "task_listing_sha256": "949932f06303fc67e39b5cf64c56a27f0ab8029380d4edab85ae7ad0826f9caf",
+    "task_listing_url": "https://hub.harborframework.com/api/datasets/terminal-bench/terminal-bench-2-1/6/tasks?page=1&q="
+  },
+  "omitted": [
+    "live local runs/results",
+    "credentials and private homes",
+    "raw duplicate historical downloads",
+    "Docker images and environment caches"
+  ],
+  "scope": "All 89 fixed official task packages, exact 53/36 split, prepared training pool and source/version manifests. Not a completed experiment-results release.",
+  "source_terms": "https://hub.harborframework.com/terms",
+  "task_license": "Apache-2.0; upstream task repository, not a blanket license for third-party trajectories/assets",
+  "task_license_copy": {
+    "file": "TERMINAL_BENCH_LICENSE",
+    "retrieved_date": "2026-10-05",
+    "sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
+    "source_url": "https://raw.githubusercontent.com/harbor-framework/terminal-bench-2-1/main/LICENSE"
+  },
+  "task_source": "https://github.com/harbor-framework/terminal-bench-2-1",
+  "trajectory_license": "No independent blanket redistribution license was identified for current Hub third-party trajectories; retain source-specific rights and terms.",
+  "trajectory_source": "https://hub.harborframework.com/"
+}

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+}

terminal_bench_2_1/task_split.csv

@@ -0,0 +1,90 @@
+task_id,split,test_order,class_id,class_label,fine_family,task_version_id,task_revision
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+compile-compcert,test,31,C01,"Source builds, compatibility and code repair",native_source_build,6d51e06e-4c80-40a8-bded-759c6711e226,3
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+dna-insert,training,,C08,Molecular sequence and construct design,dna_primer_design,742d9c38-b66a-4760-99c8-62c3a1b74d92,3
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+extract-moves-from-video,test,12,C13,Document and media interpretation or transformation,video_frame_interpretation,b4873679-3f72-4a0b-88e9-b3815961d193,3
+feal-differential-cryptanalysis,test,20,C06,Cryptanalysis and secret recovery,feal_key_recovery,8738fe4a-7fa5-4aa0-ba42-4123bc5f2a86,3
+feal-linear-cryptanalysis,training,,C06,Cryptanalysis and secret recovery,feal_key_recovery,c145afba-733d-42ee-aa94-1dbdd63dc539,3
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+financial-document-processor,training,,C13,Document and media interpretation or transformation,document_text_and_layout,9b071acc-84db-4e17-99e5-0a9ca4849b81,4
+fix-code-vulnerability,training,,C05,Web input validation and HTML security,web_input_validation_repair,ff8760cb-5d3e-454e-a1d7-5bbc989faa8e,3
+fix-git,test,22,C02,"Git history, recovery, merging and deployment",git_history_recovery_and_hygiene,d4611085-331c-469a-a25f-8250df9640d9,3
+fix-ocaml-gc,test,18,C01,"Source builds, compatibility and code repair",native_runtime_memory_debugging,713b4cd8-681d-484d-95f9-eb45c7d07e6c,3
+gcode-to-text,training,,C13,Document and media interpretation or transformation,visual_symbol_to_structure,7371e199-8a3b-48de-9fae-ff99d5c1fda1,4
+git-leak-recovery,training,,C02,"Git history, recovery, merging and deployment",git_history_recovery_and_hygiene,dc5cb523-c8c5-446f-9241-ff7abbb18309,3
+git-multibranch,test,23,C02,"Git history, recovery, merging and deployment",git_receive_hook_deployment,bb4aafba-05f9-4d2e-b61b-d32907b7eda7,3
+gpt2-codegolf,test,11,C11,"Neural model, embedding and inference workflows",compact_gpt2_inference,49e98f14-36d2-428c-b505-d0e98e7ae028,3
+headless-terminal,test,3,C04,"Runtime control, emulation and executable interfaces",process_lifecycle_and_cleanup,ee251c1a-e512-4001-a7a0-fb9fb6137226,3
+hf-model-inference,training,,C11,"Neural model, embedding and inference workflows",http_sentiment_inference_service,8502e6ff-d454-47b7-a356-e8fcc567dddb,4
+install-windows-3.11,training,,C04,"Runtime control, emulation and executable interfaces",qemu_guest_boot_and_access,9e18f965-85a3-415e-aab6-8678ee81dc42,2
+kv-store-grpc,training,,C03,Persistent network services and protocol configuration,application_protocol_service,1395047b-7b93-4f48-af43-95ebd878cb25,4
+large-scale-text-editing,test,21,C09,"Structured data transformations, queries and text extraction",constrained_text_transformation,ad6a61e4-f8cb-4201-923d-7c6e5c22e27e,3
+largest-eigenval,training,,C07,"Statistical modeling, numerical inference and optimization",numerical_kernel_optimization,aa1290ac-52f7-4916-9a3b-276c5e835f50,3
+llm-inference-batching-scheduler,training,,C07,"Statistical modeling, numerical inference and optimization",shape_aware_batch_optimization,3a3827d6-8706-4bcf-a2cb-0339e7351f18,3
+log-summary-date-ranges,training,,C09,"Structured data transformations, queries and text extraction",date_record_constraints,1ec0328c-10b7-4225-9aa8-842c1303f990,3
+mailman,test,6,C03,Persistent network services and protocol configuration,daemon_configuration_and_routing,ee00de2a-df1b-43aa-a5a1-fa95def7d666,4
+make-doom-for-mips,training,,C04,"Runtime control, emulation and executable interfaces",mips_elf_execution_interface,60926372-2024-4a1e-b98c-eba04e39b429,3
+make-mips-interpreter,test,10,C04,"Runtime control, emulation and executable interfaces",mips_elf_execution_interface,885f84a4-86b4-4585-b48b-fb541197f59b,4
+mcmc-sampling-stan,training,,C07,"Statistical modeling, numerical inference and optimization",stan_posterior_workflows,49e5d4f7-0729-4874-b753-c9d0bdcbda2f,3
+merge-diff-arc-agi-task,training,,C02,"Git history, recovery, merging and deployment",git_branch_merge_and_repair,3d1fc776-448c-4598-ad75-ae845c905232,3
+model-extraction-relu-logits,test,32,C07,"Statistical modeling, numerical inference and optimization",piecewise_linear_parameter_recovery,1fe5bc51-82fa-4069-bfef-4afca46beaa6,3
+modernize-scientific-stack,training,,C01,"Source builds, compatibility and code repair",python_dependency_compatibility,d7dc0872-879c-4a30-a8c7-a195f3be8dda,4
+mteb-leaderboard,test,1,C11,"Neural model, embedding and inference workflows",embedding_benchmark_workflows,39bb08fd-5f95-4017-830b-2b0ecd66ce42,4
+mteb-retrieve,training,,C11,"Neural model, embedding and inference workflows",embedding_benchmark_workflows,54400505-4f5d-4089-bfbc-a2460d6467fb,4
+multi-source-data-merger,training,,C09,"Structured data transformations, queries and text extraction",schema_merge_and_aggregation,bc4232a1-f6fd-486c-8cec-f23bcf2f92ed,3
+nginx-request-logging,training,,C03,Persistent network services and protocol configuration,daemon_configuration_and_routing,5f79157e-598a-430b-9443-e0da84e04500,3
+openssl-selfsigned-cert,training,,C03,Persistent network services and protocol configuration,tls_service_artifacts,1db45b51-7683-4593-9dd7-28714ebc3ab7,3
+overfull-hbox,training,,C13,Document and media interpretation or transformation,tex_layout_diagnostics,76061d58-0df0-478c-860e-8c1c04d5de99,3
+password-recovery,test,29,C06,Cryptanalysis and secret recovery,password_and_artifact_recovery,8e22f580-ca02-4301-9354-d7e66816847e,3
+path-tracing,test,2,C14,Compact native program reconstruction,compact_native_reconstruction,2357c219-c288-4fb4-a77c-0ef8a5351ab3,3
+path-tracing-reverse,training,,C14,Compact native program reconstruction,compact_native_reconstruction,b51cad68-469b-4ead-897c-01968ff2d284,3
+polyglot-c-py,training,,C12,Constrained language and program synthesis,polyglot_source_construction,a0134323-ad2b-4c55-b9d8-87b90594ddcf,3
+polyglot-rust-c,test,30,C12,Constrained language and program synthesis,polyglot_source_construction,bf750a9b-299d-4da5-87a7-ca6df659a0e5,3
+portfolio-optimization,test,26,C07,"Statistical modeling, numerical inference and optimization",numerical_kernel_optimization,ffd84731-10d7-4d1a-a2e3-182652ebffdc,4
+protein-assembly,training,,C08,Molecular sequence and construct design,protein_sequence_construct_design,cbd36098-10d4-469b-ac96-56916d15fb7e,3
+prove-plus-comm,test,7,C12,Constrained language and program synthesis,formal_proof_construction,b8d783c8-573e-4a6b-890f-d20a14d74efd,3
+pypi-server,test,13,C03,Persistent network services and protocol configuration,application_protocol_service,1799e27b-fa53-4531-a1d7-840ec9b6f546,3
+pytorch-model-cli,test,5,C11,"Neural model, embedding and inference workflows",pytorch_parameter_reconstruction_and_inference,a045cc71-cadb-4524-b0ed-b5c20146f1d9,3
+pytorch-model-recovery,training,,C11,"Neural model, embedding and inference workflows",pytorch_parameter_reconstruction_and_inference,3a7507ce-0733-4b82-9083-fad027d5cdb0,4
+qemu-alpine-ssh,test,35,C04,"Runtime control, emulation and executable interfaces",qemu_guest_boot_and_access,1d359085-6d05-4de6-87c0-b7c668cef8f4,3
+qemu-startup,training,,C04,"Runtime control, emulation and executable interfaces",qemu_guest_boot_and_access,7ee8d5aa-08ca-461c-a550-70d46d0c4e44,3
+query-optimize,training,,C09,"Structured data transformations, queries and text extraction",declarative_data_queries,94e5184d-6e52-417b-b72b-ca041fcd36f1,4
+raman-fitting,training,,C07,"Statistical modeling, numerical inference and optimization",spectral_peak_fitting,743258cb-0a8d-41b9-8da3-a787e59fae56,3
+regex-chess,training,,C12,Constrained language and program synthesis,regex_rewrite_move_generation,1e49a9a6-9f58-4d27-ae7b-1cc6839ace80,5
+regex-log,training,,C09,"Structured data transformations, queries and text extraction",constrained_text_transformation,3463862e-e1c1-4baa-979f-508fb7cc155c,3
+reshard-c4-data,test,34,C09,"Structured data transformations, queries and text extraction",nlp_corpus_processing,86d62c2f-c41c-4123-84a1-31b6ad6c1b4f,4
+rstan-to-pystan,test,28,C07,"Statistical modeling, numerical inference and optimization",stan_posterior_workflows,8786d2d6-2c11-4814-94a1-57d08661cf40,3
+sam-cell-seg,training,,C11,"Neural model, embedding and inference workflows",model_guided_image_processing,51e6e507-8dda-4aeb-a917-2896ced442da,3
+sanitize-git-repo,training,,C02,"Git history, recovery, merging and deployment",git_history_recovery_and_hygiene,7ecc1f73-d336-4f7a-a78c-0dc61f5c4f44,3
+schemelike-metacircular-eval,training,,C12,Constrained language and program synthesis,interpreter_semantics,06bf378d-e9ea-4636-8d80-ddfcb514efb1,4
+sparql-university,test,25,C09,"Structured data transformations, queries and text extraction",declarative_data_queries,c785aab0-29c1-48b0-a63f-375a1de861ba,3
+sqlite-db-truncate,training,,C10,SQLite storage recovery,sqlite_file_recovery,914a83de-4d7c-4402-b073-5acbfce95aa0,3
+sqlite-with-gcov,training,,C01,"Source builds, compatibility and code repair",native_source_build,bc4dbfd4-d93c-4bb6-83a6-af87351a7df8,3
+torch-pipeline-parallelism,test,8,C11,"Neural model, embedding and inference workflows",distributed_tensor_training,19263c2a-c2db-432d-b355-629f27c67786,3
+torch-tensor-parallelism,training,,C11,"Neural model, embedding and inference workflows",distributed_tensor_training,044b02da-4f7d-4301-98e5-5a04319955e3,3
+train-fasttext,test,4,C11,"Neural model, embedding and inference workflows",supervised_model_training,6cee61f6-578c-47b4-b71b-fbf925918ec0,3
+tune-mjcf,test,36,C07,"Statistical modeling, numerical inference and optimization",simulation_performance_optimization,f802cbd8-ed91-46e5-910b-c1a849e3626f,3
+video-processing,training,,C13,Document and media interpretation or transformation,video_frame_interpretation,7d8118c9-905f-45cb-b9da-137a8f06446e,3
+vulnerable-secret,training,,C06,Cryptanalysis and secret recovery,binary_secret_extraction,5c126f8c-7edc-42b9-8511-c581714da868,3
+winning-avg-corewars,test,17,C12,Constrained language and program synthesis,redcode_strategy_search,d6bca3f2-e4db-48e3-ba4c-f58f19f5f28f,4
+write-compressor,training,,C12,Constrained language and program synthesis,inverse_codec_synthesis,029e85eb-7109-46ec-8605-6c59909d2182,3

terminal_bench_2_1/tasks.tar.gz

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