Datasets:
task_id stringlengths 30 97 | source_dataset stringclasses 8
values | materialization_mode stringclasses 4
values | split stringclasses 1
value | has_solution bool 2
classes | has_verifier bool 1
class | manifest stringlengths 651 1.53k | files listlengths 6 2.41k |
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megat-cligym-api-dependency-interpreter-path-tampering-d76c2c85bcc7 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-api-dependency-interpreter-path-tampering-d76c2c85bcc7","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:api-dependency-interpreter-path-tampering","source_meta":{"d... | [
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megat-cligym-api-dependency-interpreter-path-tampering-hard-b497291557f5 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-api-dependency-interpreter-path-tampering-hard-b497291557f5","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:api-dependency-interpreter-path-tampering.hard","source... | [
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megat-cligym-api-endpoint-access-disruption-via-firewall-redirection-d0b2682efdf0 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-api-endpoint-access-disruption-via-firewall-redirection-d0b2682efdf0","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:api-endpoint-access-disruption-via-firewall-re... | [
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megat-cligym-api-endpoint-access-disruption-via-firewall-redirection-hard-b06d316f7cc3 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-api-endpoint-access-disruption-via-firewall-redirection-hard-b06d316f7cc3","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:api-endpoint-access-disruption-via-firewa... | [
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megat-cligym-api-generator-source-code-subtle-logic-bug-induction-b5998cfcc1b6 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-api-generator-source-code-subtle-logic-bug-induction-b5998cfcc1b6","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:api-generator-source-code-subtle-logic-bug-induct... | [
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megat-cligym-api-generator-source-code-subtle-logic-bug-induction-hard-552ef6bb6ce9 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-api-generator-source-code-subtle-logic-bug-induction-hard-552ef6bb6ce9","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:api-generator-source-code-subtle-logic-bug-i... | [
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megat-cligym-ast-based-runtime-corruption-of-marshmallow-default-value-resolution-m-0e1c76da7b98 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-ast-based-runtime-corruption-of-marshmallow-default-value-resolution-m-0e1c76da7b98","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:ast-based-runtime-corruption-of... | [
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megat-cligym-ast-based-runtime-corruption-of-marshmallow-default-value-resolution-m-ed1a0ec41807 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-ast-based-runtime-corruption-of-marshmallow-default-value-resolution-m-ed1a0ec41807","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:ast-based-runtime-corruption-of... | [
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megat-cligym-break-python-io-multiplexing-via-hijacked-select-module-7c54e867d142 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-break-python-io-multiplexing-via-hijacked-select-module-7c54e867d142","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:break-python-io-multiplexing-via-hijacked-sele... | [
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megat-cligym-break-python-io-multiplexing-via-hijacked-select-module-hard-f67baab3ad73 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-break-python-io-multiplexing-via-hijacked-select-module-hard-f67baab3ad73","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:break-python-io-multiplexing-via-hijacked... | [
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megat-cligym-broken-python-gnutls-library-causing-tls-handshake-failures-5c03cda7af90 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-broken-python-gnutls-library-causing-tls-handshake-failures-5c03cda7af90","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:broken-python-gnutls-library-causing-tls-h... | [
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megat-cligym-broken-python-gnutls-library-causing-tls-handshake-failures-hard-345a13beb8e4 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-broken-python-gnutls-library-causing-tls-handshake-failures-hard-345a13beb8e4","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:broken-python-gnutls-library-causing-... | [
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megat-cligym-broken-symlink-chain-in-critical-python-library-paths-624393437e91 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-broken-symlink-chain-in-critical-python-library-paths-624393437e91","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:broken-symlink-chain-in-critical-python-library-... | [
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megat-cligym-broken-symlink-chain-in-critical-python-library-paths-hard-f0b5e1629900 | cli_gym | cli_convert | candidate | false | true | {"dataset":"MegaTerminal","harbor_task_name":"terminal-bench/megat-cligym-broken-symlink-chain-in-critical-python-library-paths-hard-f0b5e1629900","has_solution":false,"has_verifier":true,"materialization_mode":"cli_convert","source_dataset":"cli_gym","source_doc_id":"cli_gym:broken-symlink-chain-in-critical-python-lib... | [
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End of preview. Expand in Data Studio
MegaTerminal
MegaTerminal is a Harbor-style terminal task-folder dataset assembled from the terminal task sources collected for task matching experiments.
The task folders are packed into parquet/ as a custom blob layout (megatask-folder-parquet-v1); each row stores the files of one task folder as binary blobs. Restore the on-disk tasks/<task-id>/ tree with python scripts/deparquetize_megaterminal.py --parquet-dir parquet --out-dir MegaTerminal-restored.
Each task lives under tasks/<task-id>/ and includes task.toml, instruction.md, environment/, tests/, and solution/ so the tree has the same shape as Harbor task datasets. The training split excludes the original Terminal-Bench benchmark source and does not publish text-only scaffolds as tasks. Records that could not be recovered as real task folders from their original source datasets are listed in skipped_records.jsonl.
Layout
tasks/: materialized Harbor-style task folders.manifest.jsonl: one record per task folder.excluded_records.jsonl: source records excluded by provenance or source type.skipped_records.jsonl: source records intentionally not materialized.task_names.txt: task ids, one per line.summary.json: dataset-level counts.source_audit_report.json: source provenance audit, when present.SHA256SUMS: checksums for top-level metadata files.
Counts
- tasks: 11599
- candidate split: 11599
- anchor split: 0
Source Counts
cli_gym: 1639endless_terminals: 2492litecoder_terminal_rl_preview: 599openthoughts_agent_rl: 728seta_evolve: 1312seta_synth: 3255seta_synth_env: 1374terminal_bench_pro: 200
Materialization Modes
archive_extract: 928cli_convert: 1639hf_folder_copy: 4465hf_release_tar_copy: 4567
Use manifest.jsonl for the materialized task inventory and excluded_records.jsonl/skipped_records.jsonl for the non-materialized source audit.
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