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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
uuid: string
timestamp: string
type: string
message: struct<role: string, content: string>
child 0, role: string
child 1, content: string
timeline: struct<sessionId: string, conversationId: string, turnNumber: int64>
child 0, sessionId: string
child 1, conversationId: string
child 2, turnNumber: int64
model: struct<id: string, provider: string, apiPattern: string>
child 0, id: string
child 1, provider: string
child 2, apiPattern: string
usage: struct<inputTokens: int64, outputTokens: int64, totalTokens: int64, cache: struct<cacheCreationToken (... 134 chars omitted)
child 0, inputTokens: int64
child 1, outputTokens: int64
child 2, totalTokens: int64
child 3, cache: struct<cacheCreationTokens: int64, cacheReadTokens: int64, uncachedInputTokens: int64, cacheHitRate: (... 34 chars omitted)
child 0, cacheCreationTokens: int64
child 1, cacheReadTokens: int64
child 2, uncachedInputTokens: int64
child 3, cacheHitRate: double
child 4, costSavingsRatio: double
child 4, reasoningTokens: int64
detail: null
messageId: string
snapshot: struct<messageId: string, trackedFileBackups: struct</app/train_default.py: struct<backupFileName: s (... 706 chars omitted)
child 0, messageId: string
child 1, trackedFileBackups: struct</app/train_default.py: struct<backupFileName: string, version: int64, backupTime: string>, /a (... 640 chars omitted)
child 0, /app/train_default.py: struct<backupFileName: string, version: int64, backupTime
...
_sample2.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 3, /app/test_quant.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 4, /app/train_full_candidate.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 5, /app/quantize_default.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 6, /app/sweep_sample3.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 7, /app/sweep_sample4.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 2, timestamp: string
isSnapshotUpdate: bool
kind: string
approachHash: string
success: bool
sessionId: string
toolName: string
inputSummary: string
ts: int64
errorSnippet: string
inputHash: string
to
{'ts': Value('int64'), 'sessionId': Value('string'), 'toolName': Value('string'), 'inputHash': Value('string'), 'inputSummary': Value('string'), 'success': Value('bool'), 'approachHash': Value('string'), 'detail': Json(decode=True), 'errorSnippet': Value('string'), 'kind': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
uuid: string
timestamp: string
type: string
message: struct<role: string, content: string>
child 0, role: string
child 1, content: string
timeline: struct<sessionId: string, conversationId: string, turnNumber: int64>
child 0, sessionId: string
child 1, conversationId: string
child 2, turnNumber: int64
model: struct<id: string, provider: string, apiPattern: string>
child 0, id: string
child 1, provider: string
child 2, apiPattern: string
usage: struct<inputTokens: int64, outputTokens: int64, totalTokens: int64, cache: struct<cacheCreationToken (... 134 chars omitted)
child 0, inputTokens: int64
child 1, outputTokens: int64
child 2, totalTokens: int64
child 3, cache: struct<cacheCreationTokens: int64, cacheReadTokens: int64, uncachedInputTokens: int64, cacheHitRate: (... 34 chars omitted)
child 0, cacheCreationTokens: int64
child 1, cacheReadTokens: int64
child 2, uncachedInputTokens: int64
child 3, cacheHitRate: double
child 4, costSavingsRatio: double
child 4, reasoningTokens: int64
detail: null
messageId: string
snapshot: struct<messageId: string, trackedFileBackups: struct</app/train_default.py: struct<backupFileName: s (... 706 chars omitted)
child 0, messageId: string
child 1, trackedFileBackups: struct</app/train_default.py: struct<backupFileName: string, version: int64, backupTime: string>, /a (... 640 chars omitted)
child 0, /app/train_default.py: struct<backupFileName: string, version: int64, backupTime
...
_sample2.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 3, /app/test_quant.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 4, /app/train_full_candidate.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 5, /app/quantize_default.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 6, /app/sweep_sample3.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 7, /app/sweep_sample4.py: struct<backupFileName: string, version: int64, backupTime: string>
child 0, backupFileName: string
child 1, version: int64
child 2, backupTime: string
child 2, timestamp: string
isSnapshotUpdate: bool
kind: string
approachHash: string
success: bool
sessionId: string
toolName: string
inputSummary: string
ts: int64
errorSnippet: string
inputHash: string
to
{'ts': Value('int64'), 'sessionId': Value('string'), 'toolName': Value('string'), 'inputHash': Value('string'), 'inputSummary': Value('string'), 'success': Value('bool'), 'approachHash': Value('string'), 'detail': Json(decode=True), 'errorSnippet': Value('string'), 'kind': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ts int64 | sessionId string | toolName string | inputHash string | inputSummary string | success bool | approachHash string | detail unknown | errorSnippet string | kind string |
|---|---|---|---|---|---|---|---|---|---|
1,788,212,183,366 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 8481854ffebcd2e4cb43d9612b0ef845 | {"command":"sh /usr/local/lib/node_modules/nexus-cortex/node_modules/@nexus-cortex/server/.cortex/orient","description":"Orient in workspace"} | true | 016cdb65002390b2 | null | null | null |
1,788,212,183,382 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 048f15b5e0d1e1b718eeaa3f3fdad6bd | {"command":"pwd && ls -la && find data -maxdepth 2 -type f -printf '%p %s bytes\\n' 2>/dev/null | head -50","description":"List workspace and data"} | true | 71fbf7b45f2506b6 | null | null | null |
1,788,212,187,466 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d492924d034f9599790c8c1cfb6d8f2a | {"command":"python3 - <<'PY'\nimport pandas as pd, os\nfor f in ['data/train-00000-of-00001.parquet','data/test-00000-of-00001.parquet']:\n print(f, os.path.getsize(f))\n df=pd.read_parquet(f)\n print(df.shape)\n print(df.columns.tolist())\n print(df.dtypes)\n print(df.head(3))\n … | false | 5e62c65d799446d4 | null | Stderr: bash: line 11: warning: here-document at line 1 delimited by end-of-file (wanted `PY')
bash: -c: line 12: syntax error: unexpected end of file
Command failed with exit code 2 | null |
1,788,212,187,782 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | fb241c7fa27c2cde4a15e47cf0310da8 | {"command":"which fasttext || echo no-fasttext; python3 -c \"import fasttext; print('fasttext py', fasttext.__version__)\" 2>&1 | head; pip list 2>/dev/null | grep -i -E 'fasttext|torch|sklearn|scikit|pandas|numpy|pyarrow' ","description":"Check fasttext availability"} | true | 660f0e5fafffb050 | null | null | null |
1,788,212,197,235 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | a7b72d2915b82a056d102a9f5ee26532 | {"command":"python3 -c \"import pandas as pd; df=pd.read_parquet('data/train-00000-of-00001.parquet'); print(df.shape); print(df.columns.tolist()); print(df.dtypes); print(df.head(3))\"","description":"Inspect train parquet"} | true | fdabd82b7167a288 | null | null | null |
1,788,212,197,942 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 781acb84e568d4c9db2e2a3ab64cb818 | {"command":"python3 -c \"import pandas as pd; df=pd.read_parquet('data/test-00000-of-00001.parquet'); print(df.shape); print(df.columns.tolist()); print(df.dtypes); print(df.head(3))\"","description":"Inspect test parquet"} | true | 8fcf8a05d0e704ea | null | null | null |
1,788,212,203,984 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 0ff0c0ea40e0998964f6802c51e709fc | {"command":"pip install fasttext 2>&1 | tail -20","description":"Install fasttext","timeout":300000} | false | ccc5db04075af991 | null | _build_ext.run(self)
~~~~~~~~~~~~~~^^^^^^
File "/tmp/pip-build-env-g05olk2y/overlay/lib/python3.13/site-packages/setuptools/_distutils/command/build_ext.py", line 382, in r | null |
1,788,212,207,534 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 58d3f99e68149446f4da6418565c6d48 | {"command":"gcc --version; g++ --version; uname -a; cat /etc/os-release | head","description":"Check compiler"} | true | f90dc98ecda0cbdb | null | null | null |
1,788,212,208,066 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 1f969ec5f398cef50c38c1d3c0f6c969 | {"command":"which conda mamba micromamba 2>/dev/null; ls /opt 2>/dev/null; apt-cache policy g++ 2>/dev/null | head","description":"Check conda/apt"} | true | c9a2c584289948fa | null | null | null |
1,788,212,229,115 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 592741110e7089685bcbd504663f3e5b | {"command":"apt-get update -qq && apt-get install -y -qq build-essential 2>&1 | tail -20","description":"Install build-essential","timeout":300000} | true | beb71da2c3a3cc55 | null | null | null |
1,788,212,303,981 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | cf9ec5e57c93caccab29f0b77e73bf92 | {"command":"pip install fasttext 2>&1 | tail -30","description":"Install fasttext again","timeout":600000} | true | da65625b9b610efd | null | null | null |
1,788,212,330,370 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 484149d57e34d4419f94141cde92cd6e | {"command":"python3 - <<'PY'\nimport pandas as pd\nfor split in ['train','test']:\n df=pd.read_parquet(f'data/{split}-00000-of-00001.parquet')\n with open(f'/app/{split}.txt','w') as f:\n for lab,text in zip(df['label'], df['text']):\n text=' '.join(str(text).split())\n … | true | 00dee8adec3801d7 | null | null | null |
1,788,212,335,179 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d4aa6d59ecdffabef1599342b8f58434 | {"command":"python3 - <<'PY'\nimport fasttext, time, os\nt=time.time()\nmodel=fasttext.train_supervised(input='/app/train.txt', dim=100, lr=0.5, epoch=5, wordNgrams=1, minCount=1, bucket=2000000, thread=0, verbose=2)\nprint('trained', time.time()-t)\nmodel.save_model('/app/model_default.bin')\nprint… | false | 631802235a301c43 | null | Stderr: bash: line 10: warning: here-document at line 1 delimited by end-of-file (wanted `PY')
bash: -c: line 11: syntax error: unexpected end of file
Command failed with exit code 2 | null |
1,788,212,339,270 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | cfbb07f71522a008a3e152f1a91ed02c | {"content":"import fasttext, time, os\nt=time.time()\nmodel=fasttext.train_supervised(input='/app/train.txt', dim=100, lr=0.5, epoch=5, wordNgrams=1, minCount=1, bucket=2000000, thread=0, verbose=2)\nprint('trained', time.time()-t)\nmodel.save_model('/app/model_default.bin')\nprint('size', os.path.g… | true | 9e114de56d9c526e | null | null | null |
1,788,212,355,047 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 4b2dd9181b09bad51dfc9a26d2de0f59 | {"command":"cd /app && python3 train_default.py","description":"Run default fasttext training","timeout":1200000} | false | 6550a41a93103ee4 | null | Stderr:
Read 1M words
Read 2M words
Read 3M words
Read 4M words
Read 5M words
Read 6M words
Read 7M words
Read 8M words
Read 9M words
Read 10M words
Read 11M words
Read 12M words
Read 13M words
Read | null |
1,788,212,360,222 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 46aa15d80cbf33f6dab58a022bab6d70 | {"command":"free -h; nproc; python3 -c \"import fasttext; print(fasttext.__file__)\"","description":"Check memory and cpus"} | true | dcf7a17df36c3748 | null | null | null |
1,788,212,363,380 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b3291b0e90b9531adb5f6d38dba63740 | {"command":"cat /proc/meminfo | head -5","description":"Check memory"} | true | 4c277e2d3d437bad | null | null | null |
1,788,212,368,041 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | ed74129d518facee177da76068c75fcd | {"command":"cd /app && head -20000 train.txt > small_train.txt && python3 -c \"import fasttext; m=fasttext.train_supervised(input='small_train.txt', dim=10, epoch=1, thread=1); print(m.test('test.txt'))\"","description":"Test small fasttext training","timeout":120000} | true | 85989179322bbdb1 | null | null | null |
1,788,212,372,277 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | 47ad0574f32cb05b3a3fdd008ea23b67 | {"content":"import fasttext, time, os\nt=time.time()\nmodel=fasttext.train_supervised(input='/app/train.txt', dim=100, lr=0.5, epoch=5, wordNgrams=1, minCount=1, bucket=2000000, thread=4, verbose=2)\nprint('trained', time.time()-t)\nmodel.save_model('/app/model_default.bin')\nprint('size', os.path.g… | true | 9e114de56d9c526e | null | null | null |
1,788,212,494,430 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 591468bac060d456597c5906413126c1 | {"command":"cd /app && python3 train_default.py","description":"Run default fasttext training thread=4","timeout":1200000} | false | 8ac25d71f3071f35 | null | Error: Command was cancelled before completion (timed out or aborted). | null |
1,788,212,498,639 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 91099bdb915ae30d802d817b3eb0cf7d | {"command":"cd /app && ls -lh model_default.bin 2>/dev/null; ps aux | grep -E 'python3|fasttext' | grep -v grep || true; ls -l","description":"Check training state"} | true | 5e597bd3bf4b6ad0 | null | null | null |
1,788,212,506,318 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 19e99b11d7f734affe1e042b9bc80111 | {"command":"cd /app && head -100000 train.txt > med_train.txt && /usr/bin/time -v python3 -c \"import fasttext,time; t=time.time(); m=fasttext.train_supervised(input='med_train.txt', dim=100, lr=0.5, epoch=5, wordNgrams=1, minCount=1, bucket=2000000, thread=4, verbose=0); print('trained', time.time(… | false | c1c9fcda275b2229 | null | bash: line 1: /usr/bin/time: No such file or directory
Command failed with exit code 127 | null |
1,788,212,543,306 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 3d992d93c9cf90e79eeec64296c0d924 | {"command":"cd /app && python3 -c \"import fasttext,time; t=time.time(); m=fasttext.train_supervised(input='med_train.txt', dim=100, lr=0.5, epoch=5, wordNgrams=1, minCount=1, bucket=2000000, thread=4, verbose=0); print('trained', time.time()-t)\"","description":"Benchmark 100k training","timeout":6… | true | 46e793ffe4bbe1b5 | null | null | null |
1,788,212,550,046 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | 6112c71c14e0207d34418836d3fa1e4c | {"content":"import fasttext, time, os, sys\nt=time.time()\nprint('start', flush=True)\nmodel=fasttext.train_supervised(input='/app/train.txt', dim=100, lr=0.5, epoch=5, wordNgrams=1, minCount=1, bucket=2000000, thread=4, verbose=0)\nprint('trained', time.time()-t, flush=True)\nmodel.save_model('/app… | true | a613487213c96eb3 | null | null | null |
1,788,212,552,269 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 0a53fc87ea7b308524d7efeead99784b | {"command":"cd /app && python3 train_default.py > train_default.log 2>&1","description":"Run full default training in background","run_in_background":true,"timeout":600000} | true | 40e285983ab7bad1 | null | null | null |
1,788,212,563,312 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 10384f2899a507ce26640554cc08f7c0 | {"command":"cd /app && python3 -c \"import pandas as pd; df=pd.read_parquet('data/train-00000-of-00001.parquet'); print(df.label.value_counts(normalize=True).sort_index()); t=pd.read_parquet('data/test-00000-of-00001.parquet'); print(t.label.value_counts(normalize=True).sort_index())\"","description… | true | 8c9ba7fb884d71cf | null | null | null |
1,788,212,583,009 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | ffa4a99d8b2cd52c085c95c3a7ba6366 | {"command":"df -h /app; du -sh /app/* 2>/dev/null | sort -h","description":"Check disk usage"} | true | b5ab9303499944a3 | null | null | null |
1,788,212,712,138 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 78e275d2111af277cdc4390ff73548bc | {"command":"cd /app && python3 -c \"\nimport pandas as pd, collections, re, time\ndf=pd.read_parquet('data/train-00000-of-00001.parquet')\nt=time.time()\nc=collections.Counter()\nfor text in df['text']:\n for w in text.split(): c[w]+=1\nprint('unique',len(c),'tokens',sum(c.values()),'time',time.t… | false | f477dac36a226e19 | null | Error: Command was cancelled before completion (timed out or aborted). | null |
1,788,212,847,716 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | a4ff8676755d4be81dd82751ccbdbb15 | {"command":"cd /app && python3 -c \"\nimport collections, time\nc=collections.Counter()\nt=time.time()\nwith open('train.txt') as f:\n for line in f:\n parts=line.rstrip('\\n').split(' ',1)\n for w in parts[1].split(): c[w]+=1\nprint('unique',len(c),'tokens',sum(c.values()),'time',t… | false | ccca7383c7cb1aa9 | null | Error: Command was cancelled before completion (timed out or aborted). | null |
1,788,212,854,104 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 861321737f9d7bea18501bba97ad26ba | {"command":"cd /app && cat train_default.log; ls -lh model_default.bin 2>/dev/null; ps aux 2>/dev/null | head","description":"Check background training log"} | false | c080ee65e1e0bd08 | null | start
trained 278.974960565567
size 683176323
(10000, 0.6059, 0.6059)
-rw-rw-rw- 1 root root 652M Aug 31 21:47 model_default.bin
Command failed with exit code 127 | null |
1,788,212,874,249 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 9015525a1b6e30832db5a0380215798f | {"command":"cd /app && for l in 0 1 2 3 4; do printf \"$l \"; grep -c \"__label__$l \" med_train.txt; done","description":"Check med_train label distribution","timeout":120000} | true | 7639f0e729dbea6a | null | null | null |
1,788,212,878,730 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | de8f7cd55e5406d44042ae3fc0429e60 | {"command":"which shuf sort uniq wc head tail awk; echo done","description":"Check shell tools"} | true | 9e09331dcc0884c7 | null | null | null |
1,788,212,884,140 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 855085ac3051ccd086510f04e576d757 | {"command":"cd /app && shuf -n 100000 --random-source=<(yes) train.txt > sample100k.txt; ls -lh sample100k.txt; for l in 0 1 2 3 4; do printf \"$l \"; grep -c \"__label__$l \" sample100k.txt; done","description":"Create random sample 100k","timeout":300000} | true | 5fc89bd1b214943c | null | null | null |
1,788,212,884,143 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | true | null | {
"kinds": [
"diversity"
],
"iteration": 29,
"chars": 100
} | null | steering_injected | |||
1,788,212,897,786 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | 60a1bdbf79c9a5f96bab4576f56b0021 | {"content":"import fasttext, os, time, json\n\ntest_file='/app/test.txt'\ntrain_file='/app/sample100k.txt'\nconfigs=[\n dict(dim=100, minCount=1, epoch=5, wordNgrams=1, lr=0.5),\n dict(dim=20, minCount=1, epoch=5, wordNgrams=1, lr=0.5),\n dict(dim=20, minCount=1, epoch=10, wordNgrams=1, lr=… | true | 7a0179801641c1a5 | null | null | null |
1,788,212,900,031 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 81382c7f90581bab37c9a24a9e6ff834 | {"command":"cd /app && python3 sweep_sample.py > sweep_sample.out 2>&1","description":"Run sample parameter sweep","run_in_background":true,"timeout":600000} | true | 713c73bfad19af14 | null | null | null |
1,788,212,913,824 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 550fde9500d256c5f6e20e2ac12c4b41 | {"command":"cd /app && cat sweep_sample.out","description":"Check sweep output"} | true | c83acc98ee9e4f13 | null | null | null |
1,788,212,916,815 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d328e8d811df0a800e3bfc7ae5ecf1cc | {"command":"cd /app && ls -l sweep_sample.*; cat sweep_sample.log 2>/dev/null | head -50; tail -5 sweep_sample.out","description":"Check sweep files"} | true | 329cb6768e14daf8 | null | null | null |
1,788,212,920,215 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 47c5b870ab651baeca72945520e24bc7 | {"command":"cd /app && cat sweep_sample.log; echo '---'; ps aux 2>/dev/null | head -20","description":"Check log and ps"} | false | 9963b199d3944c49 | null | ---
Command failed with exit code 127 | null |
1,788,212,940,642 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 5c9ebfcb4d68886b814667017c263866 | {"command":"cd /app && tail -f sweep_sample.log","description":"Tail sweep log","timeout":15000} | false | 9fa9890980bd0a54 | null | Command timed out after 15000ms and was killed.
Output before timeout:
dim100_minCount1_epoch5_wordNgrams1_lr0.5 size=177.3MB samples=10000 p1=0.5788 r1=0.5788 time=37.5s
For long-running commands, | null |
1,788,212,955,730 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 10b202abe71588be22df259398592612 | {"command":"cd /app && cat sweep_sample.log","description":"Check sweep progress"} | true | 20e7a95dc521b55f | null | null | null |
1,788,212,959,947 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | c1779f2c1e385e8c3d6d37fbe2bf09f9 | {"command":"cd /app && cat /proc/loadavg; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo $p $(cat $p/comm) $(tr '\\0' ' ' < $p/cmdline | cut -c1-120); fi; done","description":"Check running python processes"} | true | 8e70e8ad36eb6e6b | null | null | null |
1,788,212,986,238 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | fd487204733a725f259c810c849e907c | {"command":"cd /app && sleep 20; cat sweep_sample.log; echo '---'; cat /proc/loadavg","description":"Wait and check sweep","timeout":30000} | true | 9fc08de0f2df9220 | null | null | null |
1,788,213,019,236 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 17deea17ec1d4a0d88db8af7714ac464 | {"command":"cd /app && sleep 30; cat sweep_sample.log","description":"Check sweep progress","timeout":40000} | true | 01952590aae26213 | null | null | null |
1,788,213,070,418 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | a434a70ce1409bfdff6e8fed07ca3a35 | {"command":"cd /app && sleep 40; cat sweep_sample.log","description":"Check sweep progress","timeout":50000} | true | 01952590aae26213 | null | null | null |
1,788,213,133,926 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b823adeda846f38b5001f3ed529ecb4a | {"command":"cd /app && sleep 60; cat sweep_sample.log","description":"Check sweep progress","timeout":70000} | true | 01952590aae26213 | null | null | null |
1,788,213,198,333 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b823adeda846f38b5001f3ed529ecb4a | {"command":"cd /app && sleep 60; cat sweep_sample.log","description":"Check sweep progress","timeout":70000} | true | 01952590aae26213 | null | null | null |
1,788,213,198,333 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | true | null | {
"rung": "remind",
"count": 4,
"approachHash": "01952590aae26213"
} | null | loop_escalation | ||
1,788,213,198,338 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | true | null | {
"kinds": [
"ladder"
],
"iteration": 42,
"chars": 307
} | null | steering_injected | |||
1,788,213,205,427 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 0d13d833f75c126329ecdf1f8358adb3 | {"command":"cd /app && python3 -c \"import fasttext, inspect; print(fasttext.train_supervised.__doc__)\"","description":"Check fasttext defaults"} | true | 6f7bcc3a55a55241 | null | null | null |
1,788,213,209,125 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 4a1d1135e2b2f61e77c676438ee55178 | {"command":"cd /app && python3 -c \"import fasttext, inspect; print(inspect.signature(fasttext.train_supervised))\"","description":"Check signature defaults"} | true | 9c59de29a5b26ffd | null | null | null |
1,788,213,226,331 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d352d391cbc41615e99fd30a55c5c77b | {"command":"cd /app && cat sweep_sample.log","description":"Read sweep progress once"} | true | 55d1f0f7615d525c | null | null | null |
1,788,213,239,038 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | 0e88154975d8ae4cfd9fe06a8b70d16c | {"content":"import fasttext, os, time\n\ntest_file='/app/test.txt'\ntrain_file='/app/sample100k.txt'\nconfigs=[\n dict(dim=20, minCount=1, epoch=5, wordNgrams=1, lr=0.1),\n dict(dim=20, minCount=1, epoch=10, wordNgrams=1, lr=0.1),\n dict(dim=20, minCount=1, epoch=20, wordNgrams=1, lr=0.1),\… | true | 22760f4b55ed6953 | null | null | null |
1,788,213,247,018 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | be482f95ab84023fee67746ad2e75451 | {"command":"cd /app && cat sweep_sample.log; echo '---'; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo running $(cat $p/comm); fi; done","description":"Check sweep status once"} | true | 408ff5e45c851dfc | null | null | null |
1,788,213,254,235 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | a1cc43229add43b5b91b94ef0d9f2e69 | {"command":"kill 8049 2>/dev/null || true; sleep 1; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo still $(cat $p/comm); fi; done; echo killed","description":"Kill current sweep"} | true | 2a5c02c34964ea6a | null | null | null |
1,788,213,256,740 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 217dd6e913dc3919d25a70a1fecf0c0e | {"command":"cd /app && python3 sweep_sample2.py > sweep_sample2.out 2>&1","description":"Run second sample sweep","run_in_background":true,"timeout":600000} | true | fb3f92e10966b0c0 | null | null | null |
1,788,213,269,422 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 36358dc9918f1cbe83382612381831a4 | {"command":"cd /app && cat sweep_sample2.log","description":"Check second sweep progress"} | true | 5450f9322c788af7 | null | null | null |
1,788,213,333,414 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | ad0e0517e35e081d34d6b50138744e93 | {"command":"cd /app && sleep 60; cat sweep_sample2.log; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo running $(cat $p/comm); fi; done","description":"Wait then check sweep2","timeout":90000} | true | fd1905da133b5618 | null | null | null |
1,788,213,426,721 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 990d1e1b635eaca8bcf9fc87854f7d11 | {"command":"cd /app && sleep 90; cat sweep_sample2.log","description":"Check sweep2 progress after wait","timeout":120000} | true | 5390b8d4b6d19013 | null | null | null |
1,788,213,550,818 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | f2ab07a1b08bf659f350a0a3ae08823c | {"command":"cd /app && sleep 120; cat sweep_sample2.log","description":"Check sweep2 progress after wait","timeout":150000} | false | 5390b8d4b6d19013 | null | Error: Command was cancelled before completion (timed out or aborted). | null |
1,788,213,555,419 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d0cb83cfb2acdffb1a4cb64a38af93db | {"command":"cd /app && cat sweep_sample2.log","description":"Check sweep2 progress"} | true | 32eac9663f1b41b9 | null | null | null |
1,788,213,588,518 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 69797a8c0faa84893091b4ab96d899a3 | {"command":"cd /app && python3 -c \"import fasttext; m=fasttext.train_supervised(input='small_train.txt', dim=20, minCount=2, epoch=5, wordNgrams=1, lr=0.1, thread=1, verbose=2); print(m.test('test.txt'))\"","description":"Test minCount2 small","timeout":120000} | true | 52d8f8f68a10a2b8 | null | null | null |
1,788,213,674,015 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | f021edff6433cdcd3cdba65fa36b7168 | {"command":"cd /app && python3 -c \"import fasttext; m=fasttext.train_supervised(input='sample100k.txt', dim=20, minCount=2, epoch=10, wordNgrams=1, lr=0.1, thread=4, verbose=0); print('trained'); m.save_model('/tmp/m.bin'); import os; print('size', os.path.getsize('/tmp/m.bin')); print(m.test('test… | true | 7d543d6e286d90fc | null | null | null |
1,788,213,763,318 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 0618a856167055918bc1e997ead452f6 | {"command":"cd /app && python3 -c \"import fasttext, os, traceback; cfg=dict(dim=20,minCount=2,epoch=10,wordNgrams=1,lr=0.1); \ntry:\n m=fasttext.train_supervised(input='sample100k.txt', thread=4, verbose=0, **cfg); print('trained'); m.save_model('/tmp/model_sweep.bin'); print('saved', os.path.getsi… | true | cc591cd1b0b30ca0 | null | null | null |
1,788,213,771,836 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 7fa0c85b9bcf1fcd78f01c3c7750a3bc | {"command":"cd /app && cat sweep_sample2.log","description":"Check sweep2 current log"} | true | cf7a8e5258907673 | null | null | null |
1,788,213,775,338 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | c0005c0e14bbe6c4489c814ec3a1571d | {"command":"cd /app && cat sweep_sample2.log","description":"Check sweep2 log later"} | true | dcf089cb821139c9 | null | null | null |
1,788,213,804,919 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | fc5138285e60cff13493110b7d7675b4 | {"content":"import fasttext, os, time\nt=time.time()\nmodel=fasttext.load_model('/app/model_default.bin')\nprint('loaded', time.time()-t, flush=True)\nt=time.time()\n# quantize using a subset for speed\nmodel.quantize(input='/app/sample100k.txt', qout=False, cutoff=100000, retrain=True, thread=4)\np… | true | 59df533d9615f625 | null | null | null |
1,788,213,808,537 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 9d8d178257c5d19532464759de2a7030 | {"command":"cd /app && cat sweep_sample2.log; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo running $(cat $p/comm); fi; done","description":"Check sweep2 status"} | true | 150a9d9c9febdfde | null | null | null |
1,788,213,827,032 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 3e7e0b73aa2ab25c78c2b75fdd704a77 | {"command":"cd /app && cat /proc/loadavg; cat sweep_sample2.log | tail -3","description":"Check load and tail log"} | true | 8e7609d0238eaf38 | null | null | null |
1,788,213,827,110 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | true | null | {
"kinds": [
"diversity"
],
"iteration": 62,
"chars": 100
} | null | steering_injected | |||
1,788,213,831,920 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 82e41bce2b92ecda95143ad251c3d7e0 | {"command":"cd /app && cat sweep_sample2.log | tail -12","description":"Check sweep2 tail"} | true | 28a85636298d44e9 | null | null | null |
1,788,213,845,232 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | SearchTools | e3d504d818bee636a830aee0fac44127 | {"query":"BashOutput background process output"} | false | 62f1c7a5ae46b764 | null | {"matches":0,"tools":[],"error":"Tool provider not configured"} | null |
1,788,213,850,424 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 670ad67a10db0adcfc6ab743fc84e805 | {"command":"cd /app && cat sweep_sample2.log | tail -8; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo running $(cat $p/comm); fi; done","description":"Check sweep2 status and tail"} | true | 1f54caef1b586775 | null | null | null |
1,788,213,902,118 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b0082672d2dad27d318f4f497156dcb2 | {"command":"cd /app && sleep 45; tail -8 sweep_sample2.log","description":"Wait and check char ngram results","timeout":60000} | true | 5d1b072af3edf9c1 | null | null | null |
1,788,214,035,738 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | f72b331d1b0329f854744c687485bfdb | {"command":"cd /app && ls -lh /tmp/m.bin 2>/dev/null; python3 -c \"import fasttext, os, time; t=time.time(); m=fasttext.load_model('/tmp/m.bin'); print('loaded', time.time()-t); t=time.time(); m.quantize(input='/app/sample100k.txt', qout=False, cutoff=50000, retrain=True, thread=2); print('quantized… | false | 6678c5de551f4a10 | null | Error: Command was cancelled before completion (timed out or aborted). | null |
1,788,214,039,231 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 3f9345ec0b1a8ba3a3c3073e48af896c | {"command":"cd /app && ls -lh /tmp/m.bin /tmp/m_quant.bin 2>/dev/null; cat sweep_sample2.log | tail -5","description":"Check quant files and sweep"} | true | b2d12cff3cfd5508 | null | null | null |
1,788,214,044,235 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 96d352a55057ea0dde6a39b7f284bc08 | {"command":"cd /app && for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo pid $(basename $p) elapsed $(awk '{print $22}' /proc/$(basename $p)/stat 2>/dev/null) cmd $(tr '\\0' ' ' < $p/cmdline | cut -c1-100); fi; done; cat /proc/loadavg","description":"Check sweep process … | true | 617528c4dd509fe0 | null | null | null |
1,788,214,053,735 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 771eb16bcf9a896739283642c63a740e | {"command":"kill 8453 2>/dev/null || true; sleep 1; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo still $(cat $p/comm); fi; done; echo killed; tail -3 /app/sweep_sample2.log","description":"Kill sweep2"} | true | f45391de5849accf | null | null | null |
1,788,214,062,195 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | 79c8c3466f0c1b5dc187451365605139 | {"content":"import fasttext, time, os, sys\ncfg = dict(dim=20, minCount=1, epoch=10, wordNgrams=1, lr=0.1)\nname = 'dim20_mc1_ep10_lr0.1'\nout = '/app/model_candidate.bin'\nt=time.time()\nprint('start', name, flush=True)\nmodel=fasttext.train_supervised(input='/app/train.txt', bucket=2000000, thread… | true | 1d5ad22c696064c8 | null | null | null |
1,788,214,064,591 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 4d449af462c9901dce82f5255fdac9d4 | {"command":"cd /app && python3 train_full_candidate.py > train_full_candidate.log 2>&1","description":"Train full dim20 ep10 lr0.1 candidate","run_in_background":true,"timeout":600000} | true | b9a8d53c207a25b5 | null | null | null |
1,788,214,068,340 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d1e0ac616df0b1bc0891eef38b34a86e | {"command":"cd /app && cat train_full_candidate.log","description":"Check full training log"} | true | a85b9befc5afe794 | null | null | null |
1,788,214,181,528 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 25bb92665792357f2f67b16920de2bc8 | {"command":"cd /app && sleep 110; cat train_full_candidate.log","description":"Wait for full training","timeout":120000} | true | 44c35062ae97cc8a | null | null | null |
1,788,214,294,230 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 4db5c890bc2f58f2018ce1ed646c9719 | {"command":"cd /app && sleep 110; cat train_full_candidate.log","description":"Wait for full training more","timeout":120000} | true | e8e00a690badac73 | null | null | null |
1,788,214,408,242 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | ed7180ecc20a22cf39b888f6470b3015 | {"command":"cd /app && sleep 110; cat train_full_candidate.log; for p in /proc/[0-9]*; do if grep -q python \"$p/comm\" 2>/dev/null; then echo running $(basename $p); fi; done","description":"Wait and check full training","timeout":120000} | true | 7b75a86231fa84d4 | null | null | null |
1,788,214,423,783 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 5ab590bd42d2c3ac2d4a1fed5b2b2cdb | {"command":"cd /app && python3 -c \"import fasttext; m=fasttext.load_model('/app/model_candidate.bin'); print('dim',m.get_dimension()); print('words',len(m.words)); print('labels',m.labels); import os; print('size', os.path.getsize('/app/model_candidate.bin'))\"","description":"Inspect candidate mod… | true | 648d7d888d1fa6a1 | null | null | null |
1,788,214,439,047 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 54fa88d2077ee59365626c18c813983a | {"command":"cd /app && python3 -c \"import fasttext; m=fasttext.load_model('/app/model_candidate.bin'); print(m.get_input_matrix().shape); print(m.get_output_matrix().shape)\"","description":"Matrix shapes","timeout":120000} | true | 27473f0299097b34 | null | null | null |
1,788,214,453,028 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 7ea488086c4f28c0e697ddd4f2d23447 | {"command":"cd /app && python3 -c \"import fasttext; m=fasttext.load_model('/app/model_candidate.bin'); print([x for x in dir(m) if 'matrix' in x.lower() or 'ngram' in x.lower() or 'bucket' in x.lower()])\"","description":"List matrix methods"} | true | 23110a1ac8b21722 | null | null | null |
1,788,214,478,011 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | 9880c5326b485fa639465df7481f19cc | {"content":"import fasttext, os, time\nt=time.time()\nmodel=fasttext.load_model('/app/model_default.bin')\nprint('loaded', time.time()-t, flush=True)\nt=time.time()\nmodel.quantize(input='/app/train.txt', qout=False, retrain=True, thread=4)\nprint('quantized', time.time()-t, flush=True)\nmodel.save_… | true | 41e38642d8592b8e | null | null | null |
1,788,214,480,818 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | e02a105f7790e8d477eae95c06620467 | {"command":"cd /app && python3 quantize_default.py > quantize_default.log 2>&1","description":"Quantize default model on full train","run_in_background":true,"timeout":600000} | true | 975a3380258c44b8 | null | null | null |
1,788,214,484,553 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 7dd363f9f1f5a7ab238c10eaa2365c1f | {"command":"cd /app && cat quantize_default.log","description":"Check quantize log"} | true | acf97b9274600184 | null | null | null |
1,788,214,597,919 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | d86e23633ca099570917c85a41b2fcca | {"command":"cd /app && sleep 110; cat quantize_default.log","description":"Wait for quantize","timeout":120000} | true | f1c5e313147e9c9d | null | null | null |
1,788,214,710,221 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 6a45ad10a3dbc080587309cb375c6a73 | {"command":"cd /app && sleep 110; cat quantize_default.log","description":"Wait for quantize more","timeout":120000} | true | 7978bd08baf6fa17 | null | null | null |
1,788,214,731,988 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Write | b73b8c6988457ab89f804b8771df882e | {"content":"import fasttext, os, time\n\ntest_file='/app/test.txt'\ntrain_file='/app/sample100k.txt'\nconfigs=[\n dict(dim=100, minCount=1, epoch=10, wordNgrams=1, lr=0.1),\n dict(dim=100, minCount=1, epoch=10, wordNgrams=1, lr=0.1, loss='ova'),\n dict(dim=100, minCount=1, epoch=20, wordNgr… | true | 22760f4b55ed6953 | null | null | null |
1,788,214,734,413 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | 4c357a9a215c1541d746eb3d3b6c22c2 | {"command":"cd /app && python3 sweep_sample3.py > sweep_sample3.out 2>&1","description":"Run sample sweep3 for high-dim/OVA","run_in_background":true,"timeout":600000} | true | f68beced875ae783 | null | null | null |
1,788,214,846,411 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b00a19814643eb1e802fc91e921969b4 | {"command":"cd /app && sleep 110; cat sweep_sample3.log","description":"Wait and check sweep3","timeout":120000} | true | 2e8aaefa119efaa7 | null | null | null |
1,788,214,959,330 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b00a19814643eb1e802fc91e921969b4 | {"command":"cd /app && sleep 110; cat sweep_sample3.log","description":"Wait and check sweep3","timeout":120000} | true | 2e8aaefa119efaa7 | null | null | null |
1,788,215,072,231 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b00a19814643eb1e802fc91e921969b4 | {"command":"cd /app && sleep 110; cat sweep_sample3.log","description":"Wait and check sweep3","timeout":120000} | true | 2e8aaefa119efaa7 | null | null | null |
1,788,215,185,126 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | b00a19814643eb1e802fc91e921969b4 | {"command":"cd /app && sleep 110; cat sweep_sample3.log","description":"Wait and check sweep3","timeout":120000} | true | 2e8aaefa119efaa7 | null | null | null |
1,788,215,185,128 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | Bash | true | null | {
"rung": "remind",
"count": 4,
"approachHash": "2e8aaefa119efaa7"
} | null | loop_escalation | ||
1,788,215,185,129 | 4d8f31b9-2f94-462a-9f2d-c9dfa1afcc04 | true | null | {
"kinds": [
"ladder"
],
"iteration": 90,
"chars": 307
} | null | steering_injected |
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