Dataset Preview
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'less /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_franz/train_dynamics_lr_1e-4_larger_ffn_3352437.log ', 'Type98', 'Unnamed: 13', 'terminal_command', '1928682', '0.1', 'TERMINAL', '0'}) and 1 missing columns ({'Type'}).
This happened while the csv dataset builder was generating data using
hf://datasets/p-doom/crowd-code-0.1/1de052c516cab686515c107385aaf7c3a7e3e5c23c9bc3c0be0cff3df28cd64d/crowd-code-2f4ff312-abac-4732-805a-ec6c245e532e1752745206273-2025_07_17-11.40.45.491/source.csv (at revision 3bfcf15803681d39dd7f61c61b20e1271528cffe)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Sequence: int64
Time: int64
File: string
RangeOffset: int64
RangeLength: int64
Text: string
Language: string
Type98: string
1928682: double
TERMINAL: string
0: double
0.1: double
less /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_franz/train_dynamics_lr_1e-4_larger_ffn_3352437.log : double
Unnamed: 13: string
terminal_command: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2204
to
{'Sequence': Value('int64'), 'Time': Value('int64'), 'File': Value('string'), 'RangeOffset': Value('int64'), 'RangeLength': Value('int64'), 'Text': Value('string'), 'Language': Value('string'), 'Type': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'less /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_franz/train_dynamics_lr_1e-4_larger_ffn_3352437.log ', 'Type98', 'Unnamed: 13', 'terminal_command', '1928682', '0.1', 'TERMINAL', '0'}) and 1 missing columns ({'Type'}).
This happened while the csv dataset builder was generating data using
hf://datasets/p-doom/crowd-code-0.1/1de052c516cab686515c107385aaf7c3a7e3e5c23c9bc3c0be0cff3df28cd64d/crowd-code-2f4ff312-abac-4732-805a-ec6c245e532e1752745206273-2025_07_17-11.40.45.491/source.csv (at revision 3bfcf15803681d39dd7f61c61b20e1271528cffe)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Sequence
int64 | Time
int64 | File
string | RangeOffset
int64 | RangeLength
int64 | Text
string | Language
string | Type
string |
|---|---|---|---|---|---|---|---|
1 | 4 |
sbatch_scripts/coinrun/train_tokenizer_coinrun.sh
| 0 | 0 |
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
|
shellscript
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tab
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2 | 1,218 |
extension-output-pdoom-org.crowd-code-#1-crowd-code
| 0 | 0 |
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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Log
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tab
|
3 | 3,296 |
TERMINAL
| 0 | 0 |
/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
| null |
terminal_command
|
4 | 3,349 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
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5 | 3,356 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
6 | 76,883 |
TERMINAL
| 0 | 0 | null | null |
terminal_focus
|
7 | 78,950 |
TERMINAL
| 0 | 0 |
bash
| null |
terminal_focus
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8 | 79,264 |
TERMINAL
| 0 | 0 |
bash
| null |
terminal_focus
|
9 | 80,655 |
TERMINAL
| 0 | 0 |
ls
| null |
terminal_command
|
10 | 80,675 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
11 | 81,662 |
TERMINAL
| 0 | 0 |
ls
| null |
terminal_command
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12 | 81,669 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
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13 | 85,480 |
TERMINAL
| 0 | 0 |
git clone git@github.com:p-doom/slurm.git
| null |
terminal_command
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14 | 85,501 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
15 | 89,822 |
TERMINAL
| 0 | 0 |
cd slurm/
| null |
terminal_command
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16 | 89,835 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
17 | 90,268 |
TERMINAL
| 0 | 0 |
ls
| null |
terminal_command
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18 | 90,276 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
19 | 93,023 |
TERMINAL
| 0 | 0 |
cd ..
| null |
terminal_command
|
20 | 96,726 |
TERMINAL
| 0 | 0 |
mv slurm/ slurm_tmp
| null |
terminal_command
|
21 | 96,752 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
22 | 100,198 |
TERMINAL
| 0 | 0 |
git clone git@github.com:p-doom/slurm.git
| null |
terminal_command
|
23 | 100,259 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
24 | 101,592 |
TERMINAL
| 0 | 0 |
warning: You appear to have cloned an empty repository.\r\n
| null |
terminal_output
|
25 | 101,653 |
TERMINAL
| 0 | 0 |
]0;tum_ind3695@hkn1993:~/projects/jafar]633;D;0]633;P;Cwd=/home/hk-project-pai00039/tum_ind3695/projects/jafar
| null |
terminal_output
|
26 | 123,706 |
TERMINAL
| 0 | 0 |
cd slurm
| null |
terminal_command
|
27 | 123,710 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
28 | 134,443 |
TERMINAL
| 0 | 0 |
touch README.md
| null |
terminal_command
|
29 | 134,457 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
30 | 140,526 |
slurm/README.md
| 0 | 0 | null |
markdown
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tab
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31 | 141,038 |
slurm/README.md
| 0 | 0 |
# 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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markdown
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content
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32 | 141,052 |
slurm/README.md
| 0 | 0 | null |
markdown
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selection_command
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33 | 143,784 |
slurm/README.md
| 17 | 0 | null |
markdown
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selection_command
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34 | 144,128 |
slurm/README.md
| 16 | 1 | null |
markdown
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content
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35 | 144,290 |
slurm/README.md
| 15 | 1 | null |
markdown
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36 | 144,449 |
slurm/README.md
| 14 | 1 | null |
markdown
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37 | 144,594 |
slurm/README.md
| 13 | 1 | null |
markdown
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38 | 144,744 |
slurm/README.md
| 12 | 1 | null |
markdown
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39 | 144,883 |
slurm/README.md
| 11 | 1 | null |
markdown
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40 | 145,032 |
slurm/README.md
| 10 | 1 | null |
markdown
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41 | 146,253 |
slurm/README.md
| 9 | 1 | null |
markdown
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42 | 146,384 |
slurm/README.md
| 8 | 1 | null |
markdown
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43 | 146,540 |
slurm/README.md
| 7 | 1 | null |
markdown
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content
|
44 | 147,072 |
slurm/README.md
| 7 | 0 |
markdown
|
content
|
|
45 | 147,074 |
slurm/README.md
| 8 | 0 | null |
markdown
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selection_keyboard
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46 | 147,800 |
slurm/README.md
| 7 | 0 | null |
markdown
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selection_command
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47 | 147,980 |
slurm/README.md
| 9 | 0 | null |
markdown
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48 | 148,751 |
slurm/README.md
| 7 | 0 | null |
markdown
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selection_command
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49 | 151,881 |
slurm/README.md
| 9 | 0 | null |
markdown
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50 | 152,275 |
slurm/README.md
| 17 | 0 | null |
markdown
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51 | 152,523 |
slurm/README.md
| 140 | 0 | null |
markdown
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52 | 152,761 |
slurm/README.md
| 148 | 0 | null |
markdown
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53 | 200,642 |
slurm/README.md
| 567 | 0 | null |
markdown
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selection_mouse
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54 | 205,092 |
TERMINAL
| 0 | 0 |
mkdir utils
| null |
terminal_command
|
55 | 205,110 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
56 | 209,411 |
TERMINAL
| 0 | 0 |
cd utils/
| null |
terminal_command
|
57 | 209,418 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
|
58 | 222,068 |
TERMINAL
| 0 | 0 |
touch init_slurm_repo.sh
| null |
terminal_command
|
59 | 222,091 |
TERMINAL
| 0 | 0 |
]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
| null |
terminal_output
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60 | 224,062 |
slurm/utils/init_slurm_repo.sh
| 0 | 0 | null |
shellscript
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tab
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61 | 224,687 |
slurm/utils/init_slurm_repo.sh
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init_slurm_repo.sh
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shellscript
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62 | 224,696 |
slurm/utils/init_slurm_repo.sh
| 17 | 0 | null |
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63 | 228,841 |
slurm/utils/init_slurm_repo.sh
| 18 | 0 |
\n
|
shellscript
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content
|
64 | 229,338 |
slurm/utils/init_slurm_repo.sh
| 19 | 0 |
#!/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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65 | 229,343 |
slurm/utils/init_slurm_repo.sh
| 19 | 0 | null |
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66 | 229,608 |
slurm/utils/init_slurm_repo.sh
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67 | 229,959 |
slurm/utils/init_slurm_repo.sh
| 0 | 19 | null |
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68 | 230,205 |
slurm/utils/init_slurm_repo.sh
| 12 | 0 | null |
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69 | 230,390 |
slurm/utils/init_slurm_repo.sh
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70 | 230,510 |
slurm/utils/init_slurm_repo.sh
| 51 | 0 | null |
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71 | 230,801 |
slurm/utils/init_slurm_repo.sh
| 60 | 0 | null |
shellscript
|
selection_command
|
72 | 231,127 |
slurm/utils/init_slurm_repo.sh
| 61 | 0 | null |
shellscript
|
selection_command
|
73 | 231,376 |
slurm/utils/init_slurm_repo.sh
| 62 | 0 | null |
shellscript
|
selection_command
|
74 | 231,400 |
slurm/utils/init_slurm_repo.sh
| 63 | 0 | null |
shellscript
|
selection_command
|
75 | 231,432 |
slurm/utils/init_slurm_repo.sh
| 64 | 0 | null |
shellscript
|
selection_command
|
76 | 231,463 |
slurm/utils/init_slurm_repo.sh
| 65 | 0 | null |
shellscript
|
selection_command
|
77 | 231,509 |
slurm/utils/init_slurm_repo.sh
| 66 | 0 | null |
shellscript
|
selection_command
|
78 | 231,687 |
slurm/utils/init_slurm_repo.sh
| 67 | 0 | null |
shellscript
|
selection_command
|
79 | 232,040 |
slurm/utils/init_slurm_repo.sh
| 67 | 1 | null |
shellscript
|
content
|
80 | 232,632 |
slurm/utils/init_slurm_repo.sh
| 67 | 9 | null |
shellscript
|
content
|
81 | 233,176 |
slurm/utils/init_slurm_repo.sh
| 69 | 0 | null |
shellscript
|
selection_command
|
82 | 233,390 |
slurm/utils/init_slurm_repo.sh
| 86 | 0 | null |
shellscript
|
selection_command
|
83 | 233,647 |
slurm/utils/init_slurm_repo.sh
| 114 | 0 | null |
shellscript
|
selection_command
|
84 | 233,667 |
slurm/utils/init_slurm_repo.sh
| 169 | 0 | null |
shellscript
|
selection_command
|
85 | 233,697 |
slurm/utils/init_slurm_repo.sh
| 198 | 0 | null |
shellscript
|
selection_command
|
86 | 233,731 |
slurm/utils/init_slurm_repo.sh
| 215 | 0 | null |
shellscript
|
selection_command
|
87 | 233,765 |
slurm/utils/init_slurm_repo.sh
| 237 | 0 | null |
shellscript
|
selection_command
|
88 | 233,797 |
slurm/utils/init_slurm_repo.sh
| 273 | 0 | null |
shellscript
|
selection_command
|
89 | 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.
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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