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module unload mpi/openmpi/5.0\nmodule unload devel/cuda/12.4\nsource .venv/bin/activate\n\n\n\nexport SLURM_NTASKS=1\n\n# ws_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared'\n# job_name=$SLURM_JOB_NAME\n# slurm_job_id=$SLURM_JOB_ID\n# data_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/knoms_tfrecords_tmp'\n\n# CHECKPOINT_DIR=$ws_dir/checkpoints/$job_name_$slurm_job_id\n# mkdir -p $CHECKPOINT_DIR\n\n# # echo 'starting training'\n# # srun echo 'hello'\n\n# python train_tokenizer.py \\n# --ckpt_dir $CHECKPOINT_DIR \\n# --batch_size=1 \\n# --num_steps=300000\\n# --warmup_steps=10000 \\n# --log_checkpoint_interval=10000 \\n# --log \\n# --entity instant-uv \\n# --project jafar \\n# --data_dir $data_dir \n\n\nmodule unload mpi/openmpi/5.0\nmodule unload devel/cuda/12.4\nsource .venv/bin/activate\n\njob_name=$SLURM_JOB_NAME\nslurm_job_id=$SLURM_JOB_ID\n\nws_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared'\n\nCHECKPOINT_DIR=$ws_dir/data/checkpoints/$job_name_$slurm_job_id\nLOG_DIR=$ws_dir/logs/$job_name_$slurm_job_id\nmkdir -p $CHECKPOINT_DIR\nmkdir -p $LOG_DIR\n\ndata_dir='/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/coinrun_tfrecords'\n\nsrun python train_tokenizer.py \\n --ckpt_dir $CHECKPOINT_DIR \\n --log_checkpoint_interval=1000 \\n --image_height 64 \\n --image_width 64 \\n --log \\n --entity instant-uv \\n --data_dir $data_dir \\n --project jafar\n\n
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11:35:33 PM [info] Activating crowd-code\n11:35:33 PM [info] Welcome back tum_ind3695. Your user-id is '507ab0ec0dfe0c18ad7778dd15e072f92367194c94623114de802c8ed9c52e20'. Happy coding!\n11:35:33 PM [info] Recording started\n
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/bin/python3 /hkfs/home/project/hk-project-pai00039/tum_ind3695/.cursor-server/extensions/ms-python.python-2025.6.1-linux-x64/python_files/printEnvVariablesToFile.py /hkfs/home/project/hk-project-pai00039/tum_ind3695/.cursor-server/extensions/ms-python.python-2025.6.1-linux-x64/python_files/deactivate/bash/envVars.txt
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]633;E;2025-06-25 23:35:36 /bin/python3 /hkfs/home/project/hk-project-pai00039/tum_ind3695/.cursor-server/extensions/ms-python.python-2025.6.1-linux-x64/python_files/printEnvVariablesToFile.py /hkfs/home/project/hk-project-pai00039/tum_ind3695/.cursor-server/extensions/ms-python.python-2025.6.1-linux-x64/python_files/deactivate/bash/envVars.txt;e85feef2-bbcf-448a-92fe-c2a0164336c0]633;C
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]0;tum_ind3695@hkn1993:/hkfs/home/project/hk-project-pai00039/tum_ind3695/.cursor-server/extensions/ms-python.python-2025.6.1-linux-x64/python_files/deactivate/bash]633;D;0
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]633;E;2025-06-25 23:36:53 ls;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;Cgenerate_dataset.py [0m[01;34m__pycache__[0m [01;34msample_results[0m train_dynamics.py train_tokenizer.py\r\ngenie.py README.md [01;34msandbox[0m train_dynamics_single_batch.py train_tokenizer_single_batch.py\r\nLICENSE requirements_franz.txt [01;34msbatch_scripts[0m train_lam.py [01;34mutils[0m\r\n[01;34mlogs[0m requirements.txt [01;34mshell_scripts[0m train_lam_single_batch.py [01;34mwandb[0m\r\n[01;34mmodels[0m sample.py single_batch.npy train_lam_tf_seeding.py\r\nnotes.md sample_resolution_batches.py [01;34mslurm[0m train_tokenizer_logging.py\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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]633;E;2025-06-25 23:36:54 ls;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;Cgenerate_dataset.py [0m[01;34m__pycache__[0m [01;34msample_results[0m train_dynamics.py train_tokenizer.py\r\ngenie.py README.md [01;34msandbox[0m train_dynamics_single_batch.py train_tokenizer_single_batch.py\r\nLICENSE requirements_franz.txt [01;34msbatch_scripts[0m train_lam.py [01;34mutils[0m\r\n[01;34mlogs[0m requirements.txt [01;34mshell_scripts[0m train_lam_single_batch.py [01;34mwandb[0m\r\n[01;34mmodels[0m sample.py single_batch.npy train_lam_tf_seeding.py\r\nnotes.md sample_resolution_batches.py [01;34mslurm[0m train_tokenizer_logging.py\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0
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git clone git@github.com:p-doom/slurm.git
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]633;E;2025-06-25 23:36:58 git clone git@github.com:p-doom/slurm.git;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;Cfatal: destination path 'slurm' already exists and is not an empty directory.\r\n]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;128
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]633;E;2025-06-25 23:37:03 cd slurm/;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar/slurm]633;D;0
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]633;E;2025-06-25 23:37:03 ls;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C[0m[01;34mdev[0m [01;34mjobs[0m [01;34mtemplates[0m\r\n]0;tum_ind3695@hkn1993:~/projects/jafar/slurm]633;D;0
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cd ..
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mv slurm/ slurm_tmp
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]633;E;2025-06-25 23:37:09 mv slurm/ slurm_tmp;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0]633;P;Cwd=/home/hk-project-pai00039/tum_ind3695/projects/jafar
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git clone git@github.com:p-doom/slurm.git
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]633;E;2025-06-25 23:37:13 git clone git@github.com:p-doom/slurm.git;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;CCloning into 'slurm'...\r\n
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warning: You appear to have cloned an empty repository.\r\n
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]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0]633;P;Cwd=/home/hk-project-pai00039/tum_ind3695/projects/jafar
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cd slurm
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]633;E;2025-06-25 23:37:36 cd slurm;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar/slurm]633;D;0
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]633;E;2025-06-25 23:37:47 touch README.md;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar/slurm]633;D;0]633;P;Cwd=/home/hk-project-pai00039/tum_ind3695/projects/jafar/slurm
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slurm/README.md
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# slurm-launchpad\n\nThis repository contains Slurm job scripts and tooling for ML development on the HPC cluster. Shared by Franz, Mihir, and Alfred.\n\n## Structure\n\n- `jobs/` — Stable job scripts ready for production\n- `dev/` — Individual folders for testing & dev scripts\n- `common/` — Shared setup scripts (e.g., module loads)\n- `templates/` — (Optional) Templates for sbatch generation\n- `utils/` — Helpers for launching jobs or analyzing logs\n\n## Conventions\n\n- Logs: `%x_%j.out` format\n- Promote dev → jobs/ once stable\n- Use `common/` for shared SBATCH headers and setup\n
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mkdir utils
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]633;E;2025-06-25 23:38:58 mkdir utils;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar/slurm]633;D;0
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]633;E;2025-06-25 23:39:02 cd utils/;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar/slurm/utils]633;D;0]633;P;Cwd=/home/hk-project-pai00039/tum_ind3695/projects/jafar/slurm/utils
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]633;E;2025-06-25 23:39:15 touch init_slurm_repo.sh;2cc8e5b3-e23e-4b80-87ad-e16d22c022f8]633;C]0;tum_ind3695@hkn1993:~/projects/jafar/slurm/utils]633;D;0
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#!/bin/bash\n\n# Name of the repo (change if needed)\nREPO_NAME="slurm-launchpad"\n\n# Create the main structure\nmkdir -p $REPO_NAME/{jobs,common,templates,utils,logs}\nmkdir -p $REPO_NAME/dev/{franz,mihir,alfred}\n\n# Create README stubs\ncat > $REPO_NAME/README.md << 'EOF'\n# slurm-launchpad\n\nThis repository contains Slurm job scripts and tools for ML workflows on the HPC cluster.\n\n## Structure\n\n- `jobs/` — Stable, production-ready sbatch scripts\n- `dev/` — Individual folders for development or experimental jobs\n- `common/` — Shared setup code (env, sbatch headers)\n- `templates/` — Optional Jinja2 or shell templates for job generation\n- `utils/` — Helper scripts (e.g., run wrapper)\n- `logs/` — Optional log output directory\n\nTeam: Franz, Mihir, Alfred\nEOF\n\ncat > $REPO_NAME/dev/README.md << 'EOF'\n# dev/\n\nThis folder contains personal job scripts for development or debugging.\nEach team member has a separate subfolder.\n\nPromote useful scripts to `jobs/` after validation.\nEOF\n\ncat > $REPO_NAME/common/env_setup.sh << 'EOF'\n#!/bin/bash\n# Common environment setup for all jobs\n\nmodule load python/3.10\nsource ~/envs/ml/bin/activate\nEOF\nchmod +x $REPO_NAME/common/env_setup.sh\n\ncat > $REPO_NAME/common/defaults.sbatch.sh << 'EOF'\n#!/bin/bash\n# Common SBATCH directives (source this from your sbatch scripts)\n\n#SBATCH --ntasks=1\n#SBATCH --cpus-per-task=4\n#SBATCH --mem=16G\n#SBATCH --time=01:00:00\n#SBATCH --output=logs/%x_%j.out\nEOF\n\ncat > $REPO_NAME/utils/run_job.sh << 'EOF'\n#!/bin/bash\n# Run a job with a given sbatch file\n\nif [ -z "$1" ]; then\n echo "Usage: ./run_job.sh <sbatch_file>"\n exit 1\nfi\n\necho "Launching job: $1"\nsbatch "$1"\nEOF\nchmod +x $REPO_NAME/utils/run_job.sh\n\necho "Slurm repo '$REPO_NAME' created!"\n
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| 233,847
|
slurm/utils/init_slurm_repo.sh
| 275
| 0
| null |
shellscript
|
selection_command
|
90
| 233,877
|
slurm/utils/init_slurm_repo.sh
| 292
| 0
| null |
shellscript
|
selection_command
|
91
| 242,609
|
slurm/utils/init_slurm_repo.sh
| 366
| 0
| null |
shellscript
|
selection_command
|
92
| 242,855
|
slurm/utils/init_slurm_repo.sh
| 378
| 0
| null |
shellscript
|
selection_command
|
93
| 242,883
|
slurm/utils/init_slurm_repo.sh
| 380
| 0
| null |
shellscript
|
selection_command
|
94
| 242,911
|
slurm/utils/init_slurm_repo.sh
| 397
| 0
| null |
shellscript
|
selection_command
|
95
| 242,943
|
slurm/utils/init_slurm_repo.sh
| 449
| 0
| null |
shellscript
|
selection_command
|
96
| 242,977
|
slurm/utils/init_slurm_repo.sh
| 516
| 0
| null |
shellscript
|
selection_command
|
97
| 243,081
|
slurm/utils/init_slurm_repo.sh
| 570
| 0
| null |
shellscript
|
selection_command
|
98
| 243,083
|
slurm/utils/init_slurm_repo.sh
| 641
| 0
| null |
shellscript
|
selection_command
|
99
| 243,086
|
slurm/utils/init_slurm_repo.sh
| 689
| 0
| null |
shellscript
|
selection_command
|
100
| 243,114
|
slurm/utils/init_slurm_repo.sh
| 715
| 0
| null |
shellscript
|
selection_command
|
End of preview. Expand
in Data Studio
crowd-code-0.1 is a raw, unfiltered dataset of fine-grained IDE interactions collected during the development of Jasmine using crowd-code, a VS Code/Cursor extension capturing large parts of the software engineering workflow. The dataset captures real research engineering workflows (character-level edits, navigation, terminal use, iterative debugging). crowd-code-0.1 only includes data from the Jasmine authors. We are actively working on cleaning and curating the full dataset, and will release it soon.
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