Download terminal_bench_2_1/task_split.json from FlyPig23/memory_dci: direct link, hf CLI and curl.
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hf download hf://datasets/FlyPig23/memory_dci/terminal_bench_2_1/task_split.json
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142 kB
| { | |
| "schema_version": 2, | |
| "benchmark": "Terminal-Bench 2.1", | |
| "dataset_source": "terminal-bench/terminal-bench-2-1", | |
| "dataset_pin_manifest_sha256": "245aacd4d3275aae4ab3722ce90cb8b9d90cdd0889e6c8dba46c4e09cdb2d246", | |
| "dataset_task_listing_sha256": "949932f06303fc67e39b5cf64c56a27f0ab8029380d4edab85ae7ad0826f9caf", | |
| "preclassification_sha256": "ab7190e0e7913929c6ca52c91ac3fa748c37d7fc4b7d957f9b68a349bd32b28b", | |
| "seed": 20260908, | |
| "training_fraction_target": 0.6, | |
| "selected_clusters": 14, | |
| "method": { | |
| "features": "Public task instructions, tools, operations and constraints only", | |
| "classification": "Researcher-defined semantic preclasses before partition; not official benchmark categories", | |
| "split": "Exact rounded 60% total; proportional class quotas with both partitions represented; maximize multi-task fine families represented on both sides within each class; seeded SHA256 combination order breaks ties", | |
| "purpose": "Provide opportunities to retrieve related training experience; task-level holdout, not unseen-family evaluation", | |
| "forbidden_inputs": [ | |
| "historical scores", | |
| "trajectories", | |
| "solutions", | |
| "verifier code" | |
| ] | |
| }, | |
| "training_task_ids": [ | |
| "adaptive-rejection-sampler", | |
| "bn-fit-modify", | |
| "break-filter-js-from-html", | |
| "build-pmars", | |
| "caffe-cifar-10", | |
| "cancel-async-tasks", | |
| "circuit-fibsqrt", | |
| "cobol-modernization", | |
| "configure-git-webserver", | |
| "count-dataset-tokens", | |
| "crack-7z-hash", | |
| "custom-memory-heap-crash", | |
| "distribution-search", | |
| "dna-insert", | |
| "extract-elf", | |
| "feal-linear-cryptanalysis", | |
| "financial-document-processor", | |
| "fix-code-vulnerability", | |
| "gcode-to-text", | |
| "git-leak-recovery", | |
| "hf-model-inference", | |
| "install-windows-3.11", | |
| "kv-store-grpc", | |
| "largest-eigenval", | |
| "llm-inference-batching-scheduler", | |
| "log-summary-date-ranges", | |
| "make-doom-for-mips", | |
| "mcmc-sampling-stan", | |
| "merge-diff-arc-agi-task", | |
| "modernize-scientific-stack", | |
| "mteb-retrieve", | |
| "multi-source-data-merger", | |
| "nginx-request-logging", | |
| "openssl-selfsigned-cert", | |
| "overfull-hbox", | |
| "path-tracing-reverse", | |
| "polyglot-c-py", | |
| "protein-assembly", | |
| "pytorch-model-recovery", | |
| "qemu-startup", | |
| "query-optimize", | |
| "raman-fitting", | |
| "regex-chess", | |
| "regex-log", | |
| "sam-cell-seg", | |
| "sanitize-git-repo", | |
| "schemelike-metacircular-eval", | |
| "sqlite-db-truncate", | |
| "sqlite-with-gcov", | |
| "torch-tensor-parallelism", | |
| "video-processing", | |
| "vulnerable-secret", | |
| "write-compressor" | |
| ], | |
| "test_task_ids": [ | |
| "mteb-leaderboard", | |
| "path-tracing", | |
| "headless-terminal", | |
| "train-fasttext", | |
| "pytorch-model-cli", | |
| "mailman", | |
| "prove-plus-comm", | |
| "torch-pipeline-parallelism", | |
| "filter-js-from-html", | |
| "make-mips-interpreter", | |
| "gpt2-codegolf", | |
| "extract-moves-from-video", | |
| "pypi-server", | |
| "constraints-scheduling", | |
| "db-wal-recovery", | |
| "code-from-image", | |
| "winning-avg-corewars", | |
| "fix-ocaml-gc", | |
| "dna-assembly", | |
| "feal-differential-cryptanalysis", | |
| "large-scale-text-editing", | |
| "fix-git", | |
| "git-multibranch", | |
| "chess-best-move", | |
| "sparql-university", | |
| "portfolio-optimization", | |
| "build-pov-ray", | |
| "rstan-to-pystan", | |
| "password-recovery", | |
| "polyglot-rust-c", | |
| "compile-compcert", | |
| "model-extraction-relu-logits", | |
| "build-cython-ext", | |
| "reshard-c4-data", | |
| "qemu-alpine-ssh", | |
| "tune-mjcf" | |
| ], | |
| "clusters": [ | |
| { | |
| "cluster_id": "C01", | |
| "class_id": "C01", | |
| "label": "Source builds, compatibility and code repair", | |
| "definition": "Build or adapt existing source code against a specified compiler, library ABI or language/runtime version, preserving its required behavior.", | |
| "total": 9, | |
| "training": 5, | |
| "test": 4, | |
| "training_fraction": 0.5555555555555556, | |
| "repeated_fine_families": 3, | |
| "fine_families_on_both_sides": 3, | |
| "task_ids": [ | |
| "build-cython-ext", | |
| "build-pmars", | |
| "build-pov-ray", | |
| "cobol-modernization", | |
| "compile-compcert", | |
| "custom-memory-heap-crash", | |
| "fix-ocaml-gc", | |
| "modernize-scientific-stack", | |
| "sqlite-with-gcov" | |
| ], | |
| "training_task_ids": [ | |
| "build-pmars", | |
| "cobol-modernization", | |
| "custom-memory-heap-crash", | |
| "modernize-scientific-stack", | |
| "sqlite-with-gcov" | |
| ], | |
| "test_task_ids": [ | |
| "build-cython-ext", | |
| "build-pov-ray", | |
| "compile-compcert", | |
| "fix-ocaml-gc" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C02", | |
| "class_id": "C02", | |
| "label": "Git history, recovery, merging and deployment", | |
| "definition": "Inspect or change Git repositories, object/history state, branches and hooks while preserving required unrelated contents.", | |
| "total": 6, | |
| "training": 4, | |
| "test": 2, | |
| "training_fraction": 0.6666666666666666, | |
| "repeated_fine_families": 2, | |
| "fine_families_on_both_sides": 2, | |
| "task_ids": [ | |
| "configure-git-webserver", | |
| "fix-git", | |
| "git-leak-recovery", | |
| "git-multibranch", | |
| "merge-diff-arc-agi-task", | |
| "sanitize-git-repo" | |
| ], | |
| "training_task_ids": [ | |
| "configure-git-webserver", | |
| "git-leak-recovery", | |
| "merge-diff-arc-agi-task", | |
| "sanitize-git-repo" | |
| ], | |
| "test_task_ids": [ | |
| "fix-git", | |
| "git-multibranch" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C03", | |
| "class_id": "C03", | |
| "label": "Persistent network services and protocol configuration", | |
| "definition": "Create or configure a service endpoint and its protocol artifacts, then leave a verified usable service or credential configuration.", | |
| "total": 5, | |
| "training": 3, | |
| "test": 2, | |
| "training_fraction": 0.6, | |
| "repeated_fine_families": 2, | |
| "fine_families_on_both_sides": 2, | |
| "task_ids": [ | |
| "kv-store-grpc", | |
| "mailman", | |
| "nginx-request-logging", | |
| "openssl-selfsigned-cert", | |
| "pypi-server" | |
| ], | |
| "training_task_ids": [ | |
| "kv-store-grpc", | |
| "nginx-request-logging", | |
| "openssl-selfsigned-cert" | |
| ], | |
| "test_task_ids": [ | |
| "mailman", | |
| "pypi-server" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C04", | |
| "class_id": "C04", | |
| "label": "Runtime control, emulation and executable interfaces", | |
| "definition": "Implement or configure process control, virtual machines, instruction emulation or executable-format access through an exact interface.", | |
| "total": 8, | |
| "training": 5, | |
| "test": 3, | |
| "training_fraction": 0.625, | |
| "repeated_fine_families": 3, | |
| "fine_families_on_both_sides": 3, | |
| "task_ids": [ | |
| "cancel-async-tasks", | |
| "extract-elf", | |
| "headless-terminal", | |
| "install-windows-3.11", | |
| "make-doom-for-mips", | |
| "make-mips-interpreter", | |
| "qemu-alpine-ssh", | |
| "qemu-startup" | |
| ], | |
| "training_task_ids": [ | |
| "cancel-async-tasks", | |
| "extract-elf", | |
| "install-windows-3.11", | |
| "make-doom-for-mips", | |
| "qemu-startup" | |
| ], | |
| "test_task_ids": [ | |
| "headless-terminal", | |
| "make-mips-interpreter", | |
| "qemu-alpine-ssh" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C05", | |
| "class_id": "C05", | |
| "label": "Web input validation and HTML security", | |
| "definition": "Analyze, exploit or repair web input handling and HTML sanitization under behavioral security tests.", | |
| "total": 3, | |
| "training": 2, | |
| "test": 1, | |
| "training_fraction": 0.6666666666666666, | |
| "repeated_fine_families": 1, | |
| "fine_families_on_both_sides": 1, | |
| "task_ids": [ | |
| "break-filter-js-from-html", | |
| "filter-js-from-html", | |
| "fix-code-vulnerability" | |
| ], | |
| "training_task_ids": [ | |
| "break-filter-js-from-html", | |
| "fix-code-vulnerability" | |
| ], | |
| "test_task_ids": [ | |
| "filter-js-from-html" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C06", | |
| "class_id": "C06", | |
| "label": "Cryptanalysis and secret recovery", | |
| "definition": "Recover a hidden key, password, plaintext or secret through cryptographic analysis, constrained candidate search or executable/storage inspection.", | |
| "total": 5, | |
| "training": 3, | |
| "test": 2, | |
| "training_fraction": 0.6, | |
| "repeated_fine_families": 2, | |
| "fine_families_on_both_sides": 2, | |
| "task_ids": [ | |
| "crack-7z-hash", | |
| "feal-differential-cryptanalysis", | |
| "feal-linear-cryptanalysis", | |
| "password-recovery", | |
| "vulnerable-secret" | |
| ], | |
| "training_task_ids": [ | |
| "crack-7z-hash", | |
| "feal-linear-cryptanalysis", | |
| "vulnerable-secret" | |
| ], | |
| "test_task_ids": [ | |
| "feal-differential-cryptanalysis", | |
| "password-recovery" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C07", | |
| "class_id": "C07", | |
| "label": "Statistical modeling, numerical inference and optimization", | |
| "definition": "Implement or infer a quantitative model, sample or fit its parameters, or optimize a numerical computation/plan while meeting explicit mathematical constraints.", | |
| "total": 11, | |
| "training": 7, | |
| "test": 4, | |
| "training_fraction": 0.6363636363636364, | |
| "repeated_fine_families": 2, | |
| "fine_families_on_both_sides": 2, | |
| "task_ids": [ | |
| "adaptive-rejection-sampler", | |
| "bn-fit-modify", | |
| "distribution-search", | |
| "largest-eigenval", | |
| "llm-inference-batching-scheduler", | |
| "mcmc-sampling-stan", | |
| "model-extraction-relu-logits", | |
| "portfolio-optimization", | |
| "raman-fitting", | |
| "rstan-to-pystan", | |
| "tune-mjcf" | |
| ], | |
| "training_task_ids": [ | |
| "adaptive-rejection-sampler", | |
| "bn-fit-modify", | |
| "distribution-search", | |
| "largest-eigenval", | |
| "llm-inference-batching-scheduler", | |
| "mcmc-sampling-stan", | |
| "raman-fitting" | |
| ], | |
| "test_task_ids": [ | |
| "model-extraction-relu-logits", | |
| "portfolio-optimization", | |
| "rstan-to-pystan", | |
| "tune-mjcf" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C08", | |
| "class_id": "C08", | |
| "label": "Molecular sequence and construct design", | |
| "definition": "Read biological sequences or structures and construct a sequence-level design that satisfies explicit biological and numerical constraints.", | |
| "total": 3, | |
| "training": 2, | |
| "test": 1, | |
| "training_fraction": 0.6666666666666666, | |
| "repeated_fine_families": 1, | |
| "fine_families_on_both_sides": 1, | |
| "task_ids": [ | |
| "dna-assembly", | |
| "dna-insert", | |
| "protein-assembly" | |
| ], | |
| "training_task_ids": [ | |
| "dna-insert", | |
| "protein-assembly" | |
| ], | |
| "test_task_ids": [ | |
| "dna-assembly" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C09", | |
| "class_id": "C09", | |
| "label": "Structured data transformations, queries and text extraction", | |
| "definition": "Read structured or semi-structured records and produce exact transformed, queried or aggregated outputs under schema, format and completeness constraints.", | |
| "total": 9, | |
| "training": 5, | |
| "test": 4, | |
| "training_fraction": 0.5555555555555556, | |
| "repeated_fine_families": 4, | |
| "fine_families_on_both_sides": 4, | |
| "task_ids": [ | |
| "constraints-scheduling", | |
| "count-dataset-tokens", | |
| "large-scale-text-editing", | |
| "log-summary-date-ranges", | |
| "multi-source-data-merger", | |
| "query-optimize", | |
| "regex-log", | |
| "reshard-c4-data", | |
| "sparql-university" | |
| ], | |
| "training_task_ids": [ | |
| "count-dataset-tokens", | |
| "log-summary-date-ranges", | |
| "multi-source-data-merger", | |
| "query-optimize", | |
| "regex-log" | |
| ], | |
| "test_task_ids": [ | |
| "constraints-scheduling", | |
| "large-scale-text-editing", | |
| "reshard-c4-data", | |
| "sparql-university" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C10", | |
| "class_id": "C10", | |
| "label": "SQLite storage recovery", | |
| "definition": "Recover logical rows from damaged SQLite database or WAL files and export complete structured records.", | |
| "total": 2, | |
| "training": 1, | |
| "test": 1, | |
| "training_fraction": 0.5, | |
| "repeated_fine_families": 1, | |
| "fine_families_on_both_sides": 1, | |
| "task_ids": [ | |
| "db-wal-recovery", | |
| "sqlite-db-truncate" | |
| ], | |
| "training_task_ids": [ | |
| "sqlite-db-truncate" | |
| ], | |
| "test_task_ids": [ | |
| "db-wal-recovery" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C11", | |
| "class_id": "C11", | |
| "label": "Neural model, embedding and inference workflows", | |
| "definition": "Select, load, reconstruct, train, partition or expose a neural/embedding model with required parameter and inference/output contracts.", | |
| "total": 11, | |
| "training": 6, | |
| "test": 5, | |
| "training_fraction": 0.5454545454545454, | |
| "repeated_fine_families": 4, | |
| "fine_families_on_both_sides": 4, | |
| "task_ids": [ | |
| "caffe-cifar-10", | |
| "gpt2-codegolf", | |
| "hf-model-inference", | |
| "mteb-leaderboard", | |
| "mteb-retrieve", | |
| "pytorch-model-cli", | |
| "pytorch-model-recovery", | |
| "sam-cell-seg", | |
| "torch-pipeline-parallelism", | |
| "torch-tensor-parallelism", | |
| "train-fasttext" | |
| ], | |
| "training_task_ids": [ | |
| "caffe-cifar-10", | |
| "hf-model-inference", | |
| "mteb-retrieve", | |
| "pytorch-model-recovery", | |
| "sam-cell-seg", | |
| "torch-tensor-parallelism" | |
| ], | |
| "test_task_ids": [ | |
| "gpt2-codegolf", | |
| "mteb-leaderboard", | |
| "pytorch-model-cli", | |
| "torch-pipeline-parallelism", | |
| "train-fasttext" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C12", | |
| "class_id": "C12", | |
| "label": "Constrained language and program synthesis", | |
| "definition": "Construct a program, proof or rewrite/encoding artifact in a restricted language or execution model and validate exact semantics.", | |
| "total": 8, | |
| "training": 5, | |
| "test": 3, | |
| "training_fraction": 0.625, | |
| "repeated_fine_families": 1, | |
| "fine_families_on_both_sides": 1, | |
| "task_ids": [ | |
| "circuit-fibsqrt", | |
| "polyglot-c-py", | |
| "polyglot-rust-c", | |
| "prove-plus-comm", | |
| "regex-chess", | |
| "schemelike-metacircular-eval", | |
| "winning-avg-corewars", | |
| "write-compressor" | |
| ], | |
| "training_task_ids": [ | |
| "circuit-fibsqrt", | |
| "polyglot-c-py", | |
| "regex-chess", | |
| "schemelike-metacircular-eval", | |
| "write-compressor" | |
| ], | |
| "test_task_ids": [ | |
| "polyglot-rust-c", | |
| "prove-plus-comm", | |
| "winning-avg-corewars" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C13", | |
| "class_id": "C13", | |
| "label": "Document and media interpretation or transformation", | |
| "definition": "Extract or modify information represented in images, video, rendered paths or formatted documents, using format-aware evidence and validation.", | |
| "total": 7, | |
| "training": 4, | |
| "test": 3, | |
| "training_fraction": 0.5714285714285714, | |
| "repeated_fine_families": 2, | |
| "fine_families_on_both_sides": 2, | |
| "task_ids": [ | |
| "chess-best-move", | |
| "code-from-image", | |
| "extract-moves-from-video", | |
| "financial-document-processor", | |
| "gcode-to-text", | |
| "overfull-hbox", | |
| "video-processing" | |
| ], | |
| "training_task_ids": [ | |
| "financial-document-processor", | |
| "gcode-to-text", | |
| "overfull-hbox", | |
| "video-processing" | |
| ], | |
| "test_task_ids": [ | |
| "chess-best-move", | |
| "code-from-image", | |
| "extract-moves-from-video" | |
| ] | |
| }, | |
| { | |
| "cluster_id": "C14", | |
| "class_id": "C14", | |
| "label": "Compact native program reconstruction", | |
| "definition": "Reconstruct a compact independent native program from visual or executable reference evidence under static-build and source-size restrictions.", | |
| "total": 2, | |
| "training": 1, | |
| "test": 1, | |
| "training_fraction": 0.5, | |
| "repeated_fine_families": 1, | |
| "fine_families_on_both_sides": 1, | |
| "task_ids": [ | |
| "path-tracing", | |
| "path-tracing-reverse" | |
| ], | |
| "training_task_ids": [ | |
| "path-tracing-reverse" | |
| ], | |
| "test_task_ids": [ | |
| "path-tracing" | |
| ] | |
| } | |
| ], | |
| "tasks": [ | |
| { | |
| "task_id": "adaptive-rejection-sampler", | |
| "task_version_id": "59306a3e-89ef-4868-bd01-a173e8827f2b", | |
| "task_revision": 3, | |
| "source_path": "prepared/tasks/adaptive-rejection-sampler", | |
| "instruction_sha256": "e6d28c28acd76bef61817427c74c2a29e3e8d75f535cbd708afcbfd02c54013f", | |
| "task_config_sha256": "6ed7b37f74beb46e9d47b0f5fad53025667c9548baff4e96d467b56d429fab1a", | |
| "feature_text_sha256": "89abdefba7eabdb7a50fbdd3c8a55fe60fc58e9f86a9157c297e420b8132bc28", | |
| "official_agent_timeout_seconds": 900.0, | |
| "official_verifier_timeout_seconds": 900.0, | |
| "official_environment": { | |
| "build_timeout_sec": 600.0, | |
| "docker_image": "alexgshaw/adaptive-rejection-sampler:20251031", | |
| "cpus": 1, | |
| "memory_mb": 2048, | |
| "storage_mb": 10240, | |
| "gpus": 0, | |
| "allow_internet": true, | |
| "mcp_servers": [], | |
| "env": {} | |
| }, | |
| "cluster_id": "C07", | |
| "class_id": "C07", | |
| "class_label": "Statistical modeling, numerical inference and optimization", | |
| "fine_family": "log_concave_rejection_sampling", | |
| "classification_reason": "Implements an R rejection sampler with density/shape checks and statistical tests against known distributions; transferable work is sampling and validating stochastic outputs.", | |
| "transfer_tags": [ | |
| "R", | |
| "log-concavity", | |
| "distribution-validation" | |
| ], | |
| "split": "training" | |
| }, | |
| { | |
| "task_id": "bn-fit-modify", | |
| "task_version_id": "f367f9eb-c5d0-4262-9110-1b53bf1c4e8b", | |
| "task_revision": 4, | |
| "source_path": "prepared/tasks/bn-fit-modify", | |
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| "PDF", | |
| "JPG", | |
| "OCR", | |
| "document-classification", | |
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| { | |
| "task_id": "fix-code-vulnerability", | |
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| "Python", | |
| "WSGI", | |
| "CWE", | |
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| "classification_reason": "Finds lost repository changes after a branch checkout and incorporates them into the requested branch.", | |
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| "Git", | |
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| "class_label": "Document and media interpretation or transformation", | |
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| "G-code", | |
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| "Nginx", | |
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| { | |
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| "Hugging-Face", | |
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| "QEMU", | |
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| "gRPC", | |
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| { | |
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| "C-extension", | |
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| "MobileSAM", | |
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