EtashGuha commited on
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69dd90d
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1 Parent(s): 29021ed

Upload model and checkpoints from training job

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dumped_evals/global_step_0_evals/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world.jsonl ADDED
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+ {"input_prompt": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nYou 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.\n\nFormat your response as JSON with the following structure:\n\n{\n \"analysis\": \"Analyze the current state based on the terminal output provided. What do you see? What has been accomplished? What still needs to be done?\",\n \"plan\": \"Describe your plan for the next steps. What commands will you run and why? Be specific about what you expect each command to accomplish.\",\n \"commands\": [\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cd project\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n\nRequired fields:\n- \"analysis\": Your analysis of the current situation\n- \"plan\": Your plan for the next steps\n- \"commands\": Array of command objects to execute\n\nOptional fields:\n- \"task_complete\": Boolean indicating if the task is complete (defaults to false if not present)\n\nCommand object structure:\n- \"keystrokes\": String containing the exact keystrokes to send to the terminal (required)\n- \"duration\": Number of seconds to wait for the command to complete before the next command will be executed (defaults to 1.0 if not present)\n\nIMPORTANT: The text inside \"keystrokes\" will be used completely verbatim as keystrokes. Write commands exactly as you want them sent to the terminal:\n- Most bash commands should end with a newline (\\n) to cause them to execute\n- For special key sequences, use tmux-style escape sequences:\n - C-c for Ctrl+C\n - C-d for Ctrl+D\n\nThe \"duration\" attribute specifies the number of seconds to wait for the command to complete (default: 1.0) before the next command will be executed. On immediate tasks (e.g., cd, ls, echo, cat) set a duration of 0.1 seconds. On commands (e.g., gcc, find, rustc) set a duration of 1.0 seconds. On slow commands (e.g., make, python3 [long running script], wget [file]) set an appropriate duration as you determine necessary.\n\nIt is better to set a smaller duration than a longer duration. It is always possible to wait again if the prior output has not finished, by running {\"keystrokes\": \"\", \"duration\": 10.0} on subsequent requests to wait longer. Never wait longer than 60 seconds; prefer to poll to see intermediate result status.\n\nImportant notes:\n- Each command's keystrokes are sent exactly as written to the terminal\n- Do not include extra whitespace before or after the keystrokes unless it's part of the intended command\n- Extra text before or after the JSON will generate warnings but be tolerated\n- The JSON must be valid - use proper escaping for quotes and special characters within strings\n- Commands array can be empty if you want to wait without taking action\n\nTask Description:\nCreate a file called hello.txt in the current directory. Write \"Hello, world!\" to it.\n\nCurrent terminal state:\nCurrent Terminal Screen:\nroot@cdd96ade-f3a4-4ee3-b030-3e1762e632d7:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<|im_end|>\n<|im_start|>assistant\n", "output_response": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"Currently, the terminal is in the root directory and there are no files or directories present. The task is to create a file named hello.txt and write 'Hello, world!' into it.\",\n \"plan\": \"First, I will create the file hello.txt. Then, I will write 'Hello, world!' into it.\",\n \"commands\": [\n {\n \"keystrokes\": \"touch hello.txt\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"echo 'Hello, world!' > hello.txt\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n```<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nCurrent terminal state:\nNew Terminal Output:\nroot@cdd96ade-f3a4-4ee3-b030-3e1762e632d7:/app# touch hello.txt\nroot@cdd96ade-f3a4-4ee3-b030-3e1762e632d7:/app# echo 'Hello, world!' > hello.txt\nroot@cdd96ade-f3a4-4ee3-b030-3e1762e632d7:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \"task_complete\": true in your JSON response again.<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"The file hello.txt has been created and 'Hello, world!' has been written into it. The task is now complete.\",\n \"plan\": \"The task is already complete, so no further actions are needed.\",\n \"commands\": [],\n \"task_complete\": true\n}\n```<|im_end|>\n", "score": 1.0, "stop_reason": "complete", "env_class": "gsm8k", "env_extras": {"data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}, "data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}
dumped_evals/global_step_0_evals/aggregated_results.jsonl ADDED
@@ -0,0 +1 @@
 
 
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+ {"eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/avg_score": 1.0, "eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/pass_at_1": 1.0, "eval/all/avg_score": 1.0, "eval/all/pass_at_1": 1.0}
dumped_evals/global_step_10_evals/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world.jsonl ADDED
@@ -0,0 +1 @@
 
 
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+ {"input_prompt": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nYou 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.\n\nFormat your response as JSON with the following structure:\n\n{\n \"analysis\": \"Analyze the current state based on the terminal output provided. What do you see? What has been accomplished? What still needs to be done?\",\n \"plan\": \"Describe your plan for the next steps. What commands will you run and why? Be specific about what you expect each command to accomplish.\",\n \"commands\": [\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cd project\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n\nRequired fields:\n- \"analysis\": Your analysis of the current situation\n- \"plan\": Your plan for the next steps\n- \"commands\": Array of command objects to execute\n\nOptional fields:\n- \"task_complete\": Boolean indicating if the task is complete (defaults to false if not present)\n\nCommand object structure:\n- \"keystrokes\": String containing the exact keystrokes to send to the terminal (required)\n- \"duration\": Number of seconds to wait for the command to complete before the next command will be executed (defaults to 1.0 if not present)\n\nIMPORTANT: The text inside \"keystrokes\" will be used completely verbatim as keystrokes. Write commands exactly as you want them sent to the terminal:\n- Most bash commands should end with a newline (\\n) to cause them to execute\n- For special key sequences, use tmux-style escape sequences:\n - C-c for Ctrl+C\n - C-d for Ctrl+D\n\nThe \"duration\" attribute specifies the number of seconds to wait for the command to complete (default: 1.0) before the next command will be executed. On immediate tasks (e.g., cd, ls, echo, cat) set a duration of 0.1 seconds. On commands (e.g., gcc, find, rustc) set a duration of 1.0 seconds. On slow commands (e.g., make, python3 [long running script], wget [file]) set an appropriate duration as you determine necessary.\n\nIt is better to set a smaller duration than a longer duration. It is always possible to wait again if the prior output has not finished, by running {\"keystrokes\": \"\", \"duration\": 10.0} on subsequent requests to wait longer. Never wait longer than 60 seconds; prefer to poll to see intermediate result status.\n\nImportant notes:\n- Each command's keystrokes are sent exactly as written to the terminal\n- Do not include extra whitespace before or after the keystrokes unless it's part of the intended command\n- Extra text before or after the JSON will generate warnings but be tolerated\n- The JSON must be valid - use proper escaping for quotes and special characters within strings\n- Commands array can be empty if you want to wait without taking action\n\nTask Description:\nCreate a file called hello.txt in the current directory. Write \"Hello, world!\" to it.\n\nCurrent terminal state:\nCurrent Terminal Screen:\nroot@1fdea0e9-cdcb-4101-ab36-41b1239d9696:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<|im_end|>\n<|im_start|>assistant\n", "output_response": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"The current directory is the root directory (/). No file named hello.txt exists in the current directory. The task is to create a file called hello.txt and write 'Hello, world!' to it.\",\n \"plan\": \"First, we need to create a file called hello.txt using the touch command. Then, we will use the echo command to write 'Hello, world!' to the file. Finally, we will verify that the file has been created with the desired content.\",\n \"commands\": [\n {\n \"keystrokes\": \"touch hello.txt\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"echo 'Hello, world!' > hello.txt\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cat hello.txt\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": false\n}\n```<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nPrevious response had warnings:\nWARNINGS: - Extra text detected before JSON object\n- Extra text detected after JSON object\n\nNew Terminal Output:\nroot@1fdea0e9-cdcb-4101-ab36-41b1239d9696:/app# touch hello.txt\nroot@1fdea0e9-cdcb-4101-ab36-41b1239d9696:/app# echo 'Hello, world!' > hello.txt\nroot@1fdea0e9-cdcb-4101-ab36-41b1239d9696:/app# cat hello.txt\nHello, world!\nroot@1fdea0e9-cdcb-4101-ab36-41b1239d9696:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"The file hello.txt has been successfully created in the current directory. The content of the file is 'Hello, world!'. The task has been completed.\",\n \"plan\": \"Since the task has been completed, there is no need to run any further commands.\",\n \"commands\": [],\n \"task_complete\": true\n}\n```<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nCurrent terminal state:\nNew Terminal Output:\n\nroot@1fdea0e9-cdcb-4101-ab36-41b1239d9696:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \"task_complete\": true in your JSON response again.<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"The file hello.txt has been successfully created in the current directory, and its content is 'Hello, world!'. The task has been completed.\",\n \"plan\": \"Since the task has been completed and the file contents are verified, we do not need to run any further commands.\",\n \"commands\": [],\n \"task_complete\": true\n}\n```<|im_end|>\n", "score": 1.0, "stop_reason": "complete", "env_class": "gsm8k", "env_extras": {"data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}, "data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}
dumped_evals/global_step_10_evals/aggregated_results.jsonl ADDED
@@ -0,0 +1 @@
 
 
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+ {"eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/avg_score": 1.0, "eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/pass_at_1": 1.0, "eval/all/avg_score": 1.0, "eval/all/pass_at_1": 1.0}
dumped_evals/global_step_15_evals/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world.jsonl ADDED
@@ -0,0 +1 @@
 
 
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+ {"input_prompt": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nYou 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.\n\nFormat your response as JSON with the following structure:\n\n{\n \"analysis\": \"Analyze the current state based on the terminal output provided. What do you see? What has been accomplished? What still needs to be done?\",\n \"plan\": \"Describe your plan for the next steps. What commands will you run and why? Be specific about what you expect each command to accomplish.\",\n \"commands\": [\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cd project\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n\nRequired fields:\n- \"analysis\": Your analysis of the current situation\n- \"plan\": Your plan for the next steps\n- \"commands\": Array of command objects to execute\n\nOptional fields:\n- \"task_complete\": Boolean indicating if the task is complete (defaults to false if not present)\n\nCommand object structure:\n- \"keystrokes\": String containing the exact keystrokes to send to the terminal (required)\n- \"duration\": Number of seconds to wait for the command to complete before the next command will be executed (defaults to 1.0 if not present)\n\nIMPORTANT: The text inside \"keystrokes\" will be used completely verbatim as keystrokes. Write commands exactly as you want them sent to the terminal:\n- Most bash commands should end with a newline (\\n) to cause them to execute\n- For special key sequences, use tmux-style escape sequences:\n - C-c for Ctrl+C\n - C-d for Ctrl+D\n\nThe \"duration\" attribute specifies the number of seconds to wait for the command to complete (default: 1.0) before the next command will be executed. On immediate tasks (e.g., cd, ls, echo, cat) set a duration of 0.1 seconds. On commands (e.g., gcc, find, rustc) set a duration of 1.0 seconds. On slow commands (e.g., make, python3 [long running script], wget [file]) set an appropriate duration as you determine necessary.\n\nIt is better to set a smaller duration than a longer duration. It is always possible to wait again if the prior output has not finished, by running {\"keystrokes\": \"\", \"duration\": 10.0} on subsequent requests to wait longer. Never wait longer than 60 seconds; prefer to poll to see intermediate result status.\n\nImportant notes:\n- Each command's keystrokes are sent exactly as written to the terminal\n- Do not include extra whitespace before or after the keystrokes unless it's part of the intended command\n- Extra text before or after the JSON will generate warnings but be tolerated\n- The JSON must be valid - use proper escaping for quotes and special characters within strings\n- Commands array can be empty if you want to wait without taking action\n\nTask Description:\nCreate a file called hello.txt in the current directory. Write \"Hello, world!\" to it.\n\nCurrent terminal state:\nCurrent Terminal Screen:\nroot@3399b0a0-9ddc-4c96-bfd6-913be8396c0e:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<|im_end|>\n<|im_start|>assistant\n", "output_response": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"Currently, the terminal is in the root directory (/app#). No file has been created yet. The task is to create a file called hello.txt and write 'Hello, world!' into it.\",\n \"plan\": \"First, we will create the file using the touch command. Then, we will use the echo command to write the text 'Hello, world!' into the file.\",\n \"commands\": [\n {\n \"keystrokes\": \"touch hello.txt\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"echo 'Hello, world!' > hello.txt\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n```<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nCurrent terminal state:\nNew Terminal Output:\nroot@3399b0a0-9ddc-4c96-bfd6-913be8396c0e:/app# touch hello.txt\nroot@3399b0a0-9ddc-4c96-bfd6-913be8396c0e:/app# echo 'Hello, world!' > hello.txt\nroot@3399b0a0-9ddc-4c96-bfd6-913be8396c0e:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \"task_complete\": true in your JSON response again.<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\nBased on the new terminal output, the file `hello.txt` has been created and the text `Hello, world!` has been written into it. Therefore, the task is complete.\n\n```json\n{\n \"analysis\": \"The file hello.txt has been created and the text 'Hello, world!' has been written into it. The task is complete.\",\n \"plan\": \"Since the file has been created and the text written, no further commands are necessary.\",\n \"commands\": [],\n \"task_complete\": true\n}\n```<|im_end|>\n", "score": 1.0, "stop_reason": "complete", "env_class": "gsm8k", "env_extras": {"data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}, "data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}
dumped_evals/global_step_15_evals/aggregated_results.jsonl ADDED
@@ -0,0 +1 @@
 
 
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+ {"eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/avg_score": 1.0, "eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/pass_at_1": 1.0, "eval/all/avg_score": 1.0, "eval/all/pass_at_1": 1.0}
dumped_evals/global_step_5_evals/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world.jsonl ADDED
@@ -0,0 +1 @@
 
 
1
+ {"input_prompt": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nYou 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.\n\nFormat your response as JSON with the following structure:\n\n{\n \"analysis\": \"Analyze the current state based on the terminal output provided. What do you see? What has been accomplished? What still needs to be done?\",\n \"plan\": \"Describe your plan for the next steps. What commands will you run and why? Be specific about what you expect each command to accomplish.\",\n \"commands\": [\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cd project\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n\nRequired fields:\n- \"analysis\": Your analysis of the current situation\n- \"plan\": Your plan for the next steps\n- \"commands\": Array of command objects to execute\n\nOptional fields:\n- \"task_complete\": Boolean indicating if the task is complete (defaults to false if not present)\n\nCommand object structure:\n- \"keystrokes\": String containing the exact keystrokes to send to the terminal (required)\n- \"duration\": Number of seconds to wait for the command to complete before the next command will be executed (defaults to 1.0 if not present)\n\nIMPORTANT: The text inside \"keystrokes\" will be used completely verbatim as keystrokes. Write commands exactly as you want them sent to the terminal:\n- Most bash commands should end with a newline (\\n) to cause them to execute\n- For special key sequences, use tmux-style escape sequences:\n - C-c for Ctrl+C\n - C-d for Ctrl+D\n\nThe \"duration\" attribute specifies the number of seconds to wait for the command to complete (default: 1.0) before the next command will be executed. On immediate tasks (e.g., cd, ls, echo, cat) set a duration of 0.1 seconds. On commands (e.g., gcc, find, rustc) set a duration of 1.0 seconds. On slow commands (e.g., make, python3 [long running script], wget [file]) set an appropriate duration as you determine necessary.\n\nIt is better to set a smaller duration than a longer duration. It is always possible to wait again if the prior output has not finished, by running {\"keystrokes\": \"\", \"duration\": 10.0} on subsequent requests to wait longer. Never wait longer than 60 seconds; prefer to poll to see intermediate result status.\n\nImportant notes:\n- Each command's keystrokes are sent exactly as written to the terminal\n- Do not include extra whitespace before or after the keystrokes unless it's part of the intended command\n- Extra text before or after the JSON will generate warnings but be tolerated\n- The JSON must be valid - use proper escaping for quotes and special characters within strings\n- Commands array can be empty if you want to wait without taking action\n\nTask Description:\nCreate a file called hello.txt in the current directory. Write \"Hello, world!\" to it.\n\nCurrent terminal state:\nCurrent Terminal Screen:\nroot@2eddb251-e941-4142-b5da-662e40ce99c7:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<|im_end|>\n<|im_start|>assistant\n", "output_response": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"The current directory is the root of the file system (/app). No files are present in this directory. The task is to create a file named 'hello.txt' and write 'Hello, world!' to it.\",\n \"plan\": \"First, we will create the file 'hello.txt' using the touch command. Then, we will use the echo command to write the text 'Hello, world!' into the file.\",\n \"commands\": [\n {\n \"keystrokes\": \"touch hello.txt\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"echo 'Hello, world!' > hello.txt\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n```<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nCurrent terminal state:\nNew Terminal Output:\nroot@2eddb251-e941-4142-b5da-662e40ce99c7:/app# touch hello.txt\nroot@2eddb251-e941-4142-b5da-662e40ce99c7:/app# echo 'Hello, world!' > hello.txt\nroot@2eddb251-e941-4142-b5da-662e40ce99c7:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \"task_complete\": true in your JSON response again.<|im_end|>\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>assistant\n```json\n{\n \"analysis\": \"The file 'hello.txt' has been created and the text 'Hello, world!' has been written to it. The task has been successfully completed.\",\n \"plan\": \"Since the file has been created and the text has been written, there is no further action needed.\",\n \"commands\": [],\n \"task_complete\": true\n}\n```<|im_end|>\n", "score": 1.0, "stop_reason": "complete", "env_class": "gsm8k", "env_extras": {"data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}, "data_source": "/scratch/08134/negin/dc-agent-shared/data_cache/datasets--mlfoundations-dev--sandboxes-tasks-hello-world/snapshots/d8ea629733b7e4ba8471196d71a2ccf6a966ef60/hello-world"}
dumped_evals/global_step_5_evals/aggregated_results.jsonl ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/avg_score": 1.0, "eval/_scratch_08134_negin_dc-agent-shared_data_cache_datasets--mlfoundations-dev--sandboxes-tasks-hello-world_snapshots_d8ea629733b7e4ba8471196d71a2ccf6a966ef60_hello-world/pass_at_1": 1.0, "eval/all/avg_score": 1.0, "eval/all/pass_at_1": 1.0}