9B • Updated • 2.15k • 1
task_name stringlengths 7 43 | environment dict | system_instructions stringclasses 1
value | prompt stringlengths 199 4.42k | settings dict | solution listlengths 2 56 |
|---|---|---|---|---|---|
build-pmars-EVO-1 | {
"type": "docker",
"import_path": null,
"force_build": false,
"delete": true,
"override_cpus": null,
"override_memory_mb": null,
"override_storage_mb": null,
"override_gpus": null,
"suppress_override_warnings": false,
"mounts_json": null,
"env": {},
"kwargs": {}
} | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Build pMARS (http://www.koth.org/pmars/) from source with no X server.
Since koth.org is unreliable, get the source from Debian packages instead. Extract the source to `/app` and build without X11 support. Install the binary to `/usr/local/bin/pmars`.
You can test your build with this command: `pmars -b -r 50 -f /ap... | {
"name": null,
"import_path": "harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline",
"model_name": "openai/gpt-5.5",
"override_timeout_sec": null,
"override_setup_timeout_sec": null,
"max_timeout_sec": null,
"kwargs": {},
"env": {
"HARBOR_PM_CHAIN_ID": "build-pmars",
"LLM_API_KEY": ... | [
{
"analysis": "We are at a root shell in /app with no visible prior work. We need obtain Debian pMARS source, extract it under /app, build it without X11 support, and install /usr/local/bin/pmars. First I will inspect the environment and package source availability.",
"plan": "Run commands to identify OS/AP... |
financial-document-processor | {
"type": "docker",
"import_path": null,
"force_build": false,
"delete": true,
"override_cpus": null,
"override_memory_mb": null,
"override_storage_mb": null,
"override_gpus": null,
"suppress_override_warnings": false,
"mounts_json": null,
"env": {},
"kwargs": {}
} | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | You have a collection of mixed document files in the `/app/documents/` directory containing both JPG and PDF files.
Your task is to:
- Classify each document as either 'invoice' or 'other' based on document content.
- Move all invoices to `/app/invoices/`
- Move all other documents to `/app/other/`
- Only for ... | {
"name": null,
"import_path": "harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline",
"model_name": "openai/gpt-5.5",
"override_timeout_sec": null,
"override_setup_timeout_sec": null,
"max_timeout_sec": null,
"kwargs": {},
"env": {
"HARBOR_PM_CHAIN_ID": "financial-document-processor",
... | [
{
"analysis": "We are at /app with no prior work shown. Need inspect /app/documents, determine content of JPG/PDF files, move invoices/others, extract totals/VAT, and create summary.csv.",
"plan": "Create destination directories, list files and available tooling, then use text extraction/OCR as needed to cl... |
caffe-cifar-10-EVO-2 | {
"type": "docker",
"import_path": null,
"force_build": false,
"delete": true,
"override_cpus": null,
"override_memory_mb": null,
"override_storage_mb": null,
"override_gpus": null,
"suppress_override_warnings": false,
"mounts_json": null,
"env": {},
"kwargs": {}
} | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Train a convolutional neural network on CIFAR-10 using the BVLC Caffe tree (version
1.0.0) already built in the image at `/app/caffe` for CPU-only execution. Configure the
CIFAR-10 quick solver for exactly **500** iterations, run training, and write the full
console log to `/app/caffe/training_output.txt`. The trained ... | {
"name": null,
"import_path": "harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline",
"model_name": "openai/gpt-5.5",
"override_timeout_sec": null,
"override_setup_timeout_sec": null,
"max_timeout_sec": null,
"kwargs": {},
"env": {
"HARBOR_PM_CHAIN_ID": "caffe-cifar-10",
"LLM_API_KEY... | [
{
"analysis": "We are at /app with no commands run yet. Need inspect the existing /app/caffe tree, ensure CIFAR-10 data/LMDBs are present or create them using bundled scripts, edit the CIFAR-10 quick solver to max_iter 500 and CPU mode, then run training with full console output captured to /app/caffe/training_... |
adaptive-rejection-sampler-v-toolchain | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "Your task is to implement an adaptive-rejection sampler as described in Gilks et al. (1992). \n\n1.(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are at the /app directory with no prior commands shown. The task is to create an R (...TRUNCATED) |
fix-git-EVO-2 | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "I just made some changes to my personal site and checked out master, but now I can't find those cha(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are in /app/personal-site on a clean terminal. The task says the missing work is in(...TRUNCATED) |
dna-assembly-v-artifacts | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "The file titled sequences.fasta contains the following sequences:\n * input: A circular input plas(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are at /app with no commands run yet. Need inspect sequences.fasta, identify how ou(...TRUNCATED) |
count-dataset-tokens | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "Tell me how many deepseek tokens are there in the science domain of the ryanmarten/OpenThoughts-1k-(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are at /app with no prior commands executed. Need determine dataset structure and R(...TRUNCATED) |
build-pov-ray-EVO-3 | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "Build POV-Ray 2.2. The three official **POV-Ray 2.2** source archives are already present under **`(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are at /app with the required source archives reportedly available in /app/archives(...TRUNCATED) |
build-pov-ray-EVO-2 | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "Build POV-Ray 2.2. Find and download the source archives, extract them to `/app/povray-2.2`, then c(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are at /app with no commands run yet. Need locate/download POV-Ray 2.2 source archi(...TRUNCATED) |
adaptive-rejection-sampler | {"type":"docker","import_path":null,"force_build":false,"delete":true,"override_cpus":null,"override(...TRUNCATED) | "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be (...TRUNCATED) | "Your task is to implement an adaptive-rejection sampler as described in Gilks et al. (1992). \n\n1.(...TRUNCATED) | {"name":null,"import_path":"harbor_patch_memory.agents.terminus2_baseline:Terminus2Baseline","model_(...TRUNCATED) | [{"analysis":"We are at /app with no prior commands shown. Need verify whether R is installed, then (...TRUNCATED) |
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