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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
ts: string
uptime_watchdog_s: int64
process: struct<alive: bool, pid: int64, etime: string, cpu_pct: double, mem_pct: double, rss_mb: int64, thre (... 44 chars omitted)
  child 0, alive: bool
  child 1, pid: int64
  child 2, etime: string
  child 3, cpu_pct: double
  child 4, mem_pct: double
  child 5, rss_mb: int64
  child 6, threads: int64
  child 7, stat: string
  child 8, cmd_short: string
gpu: struct<util_pct: int64, vram_used_mb: int64, vram_total_mb: int64, temp_c: int64, power_w: double, p (... 21 chars omitted)
  child 0, util_pct: int64
  child 1, vram_used_mb: int64
  child 2, vram_total_mb: int64
  child 3, temp_c: int64
  child 4, power_w: double
  child 5, power_limit_w: double
disk: struct<total_mb: int64, used_mb: int64, avail_mb: int64, used_pct: int64>
  child 0, total_mb: int64
  child 1, used_mb: int64
  child 2, avail_mb: int64
  child 3, used_pct: int64
log: struct<log_exists: bool, log_size_bytes: int64, log_mtime: int64, log_age_sec: int64, current_source (... 339 chars omitted)
  child 0, log_exists: bool
  child 1, log_size_bytes: int64
  child 2, log_mtime: int64
  child 3, log_age_sec: int64
  child 4, current_source: string
  child 5, current_source_idx: null
  child 6, kept_total: int64
  child 7, kept_current_src: int64
  child 8, low_q_current_src: int64
  child 9, empty_current_src: int64
  child 10, throughput_per_sec: double
  child 11, last_batch_idx: int64
  child 12, shards_in_log: int64
  child 13, uploads_in_log: int64
  child 14, sources_done: int64
  child 15, errors: list<item: null>
      child 0, item: null
  child 16, warnings: list<item: null>
      child 0, item: null
  child 17, sources_done_list: list<item: null>
      child 0, item: null
shards: struct<shards_pending: int64, shards_size_mb: double, latest_shard_mtime: int64>
  child 0, shards_pending: int64
  child 1, shards_size_mb: double
  child 2, latest_shard_mtime: int64
hf_target: struct<hf_shards_total: int64, hf_files_total: int64>
  child 0, hf_shards_total: int64
  child 1, hf_files_total: int64
progress: struct<kept_total: int64, target_total: int64, pct_complete: double, current_source: string, sources (... 13 chars omitted)
  child 0, kept_total: int64
  child 1, target_total: int64
  child 2, pct_complete: double
  child 3, current_source: string
  child 4, sources_done: int64
cycle: int64
alerts_new_count: int64
alerts_new: list<item: null>
  child 0, item: null
severity: string
code: string
fingerprint: string
msg: string
to
{'severity': Value('string'), 'code': Value('string'), 'msg': Value('string'), 'fingerprint': Value('string'), 'ts': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ts: string
              uptime_watchdog_s: int64
              process: struct<alive: bool, pid: int64, etime: string, cpu_pct: double, mem_pct: double, rss_mb: int64, thre (... 44 chars omitted)
                child 0, alive: bool
                child 1, pid: int64
                child 2, etime: string
                child 3, cpu_pct: double
                child 4, mem_pct: double
                child 5, rss_mb: int64
                child 6, threads: int64
                child 7, stat: string
                child 8, cmd_short: string
              gpu: struct<util_pct: int64, vram_used_mb: int64, vram_total_mb: int64, temp_c: int64, power_w: double, p (... 21 chars omitted)
                child 0, util_pct: int64
                child 1, vram_used_mb: int64
                child 2, vram_total_mb: int64
                child 3, temp_c: int64
                child 4, power_w: double
                child 5, power_limit_w: double
              disk: struct<total_mb: int64, used_mb: int64, avail_mb: int64, used_pct: int64>
                child 0, total_mb: int64
                child 1, used_mb: int64
                child 2, avail_mb: int64
                child 3, used_pct: int64
              log: struct<log_exists: bool, log_size_bytes: int64, log_mtime: int64, log_age_sec: int64, current_source (... 339 chars omitted)
                child 0, log_exists: bool
                child 1, log_size_bytes: int64
                child 2, log_mtime: int64
                child 3, log_age_sec: int64
                child 4, current_source: string
                child 5, current_source_idx: null
                child 6, kept_total: int64
                child 7, kept_current_src: int64
                child 8, low_q_current_src: int64
                child 9, empty_current_src: int64
                child 10, throughput_per_sec: double
                child 11, last_batch_idx: int64
                child 12, shards_in_log: int64
                child 13, uploads_in_log: int64
                child 14, sources_done: int64
                child 15, errors: list<item: null>
                    child 0, item: null
                child 16, warnings: list<item: null>
                    child 0, item: null
                child 17, sources_done_list: list<item: null>
                    child 0, item: null
              shards: struct<shards_pending: int64, shards_size_mb: double, latest_shard_mtime: int64>
                child 0, shards_pending: int64
                child 1, shards_size_mb: double
                child 2, latest_shard_mtime: int64
              hf_target: struct<hf_shards_total: int64, hf_files_total: int64>
                child 0, hf_shards_total: int64
                child 1, hf_files_total: int64
              progress: struct<kept_total: int64, target_total: int64, pct_complete: double, current_source: string, sources (... 13 chars omitted)
                child 0, kept_total: int64
                child 1, target_total: int64
                child 2, pct_complete: double
                child 3, current_source: string
                child 4, sources_done: int64
              cycle: int64
              alerts_new_count: int64
              alerts_new: list<item: null>
                child 0, item: null
              severity: string
              code: string
              fingerprint: string
              msg: string
              to
              {'severity': Value('string'), 'code': Value('string'), 'msg': Value('string'), 'fingerprint': Value('string'), 'ts': Value('string')}
              because column names don't match

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.

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Check out the documentation for more information.

NEXUS SFT Pipeline — Live Status

Status temps-reel du pipeline NEXUS SFT mix curation.

Fichiers

  • STATUS.json : snapshot du dernier cycle (~60s refresh)
  • ALERTS.jsonl : append-only des anomalies detectees
  • (history) : nexus_watch_history.jsonl reste local sur instance

URLs

Seuils anomalies

  • GPU_STALL: util < 5%% pendant 3min
  • THROUGHPUT_DROP: < 50%% rolling avg
  • NO_NEW_SHARD: > 10min sans nouveau shard
  • VRAM_LEAK: croissance > 500MB/cycle
  • DISK_HIGH: > 85%% / CRIT > 95%%
  • GPU_OVERHEAT: > 85C
  • LOG_STALL: pas de nouvelle log line > 5min

Commit message format

status @ TS pct=XX.XX alerts +N

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