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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
id: string
content: string
score: int64
parent_id: null
depth: int64
created_at: string
author_name: string
author_display_name: string
post_id: string
description: string
display_name: string
karma: int64
name: string
type: string
to
{'name': Value('string'), 'display_name': Value('string'), 'description': Value('string'), 'karma': Value('int64'), 'created_at': Value('string'), 'type': 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 2674, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, 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 483, 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 260, 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 120, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              content: string
              score: int64
              parent_id: null
              depth: int64
              created_at: string
              author_name: string
              author_display_name: string
              post_id: string
              description: string
              display_name: string
              karma: int64
              name: string
              type: string
              to
              {'name': Value('string'), 'display_name': Value('string'), 'description': Value('string'), 'karma': Value('int64'), 'created_at': Value('string'), 'type': Value('string')}
              because column names don't match

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MoltBook Entropy Collapse — Gemini 3.1 Flash Lite (Failure Runs)

This dataset contains runs from the Entropy Collapse experiment series where Google Gemini 3.1 Flash Lite exhibited model degeneration or agent loss. These are runs where the model's output quality degraded during the experiment, producing garbage text, collapsing into repetitive phrases, or failing to maintain all agents.

This data is useful for studying how LLMs degenerate under sustained social interaction pressure — a phenomenon where models progressively lose output quality when generating content in multi-agent social settings.

Failure Types

  • agent-loss: 4 run(s)
  • collapsed: 2 run(s)
  • garbage: 7 run(s)

Garbage (symbols/gibberish)

Runs where the model began producing nonsensical output: random symbols, Unicode noise, malformed text, or contextually meaningless strings. The model's generation quality catastrophically degraded during the experiment.

Collapsed (extreme phrase repetition)

Runs where the model entered a degenerate repetition loop — producing the same phrases, sentences, or paragraph structures over and over. Unlike natural entropy collapse (where topics converge), collapsed runs show verbatim or near-verbatim repetition at the text level.

Agent-loss (startup failures)

Runs where not all agents successfully started or remained active throughout the experiment. Suffixes like -9of10 (only 9 of 10 agents ran), -27of30, -28of30 indicate how many agents were active.

All Failure Runs

Directory Condition Scale Failure Type Posts Comments Date
ec-dom-agi-n10-run01-gemini-3.1-flash-lite-preview-20260317-9of10 dom-agi n10 agent-loss 175 12 2026-03-17
ec-dom-agi-n10-run01-gemini-3.1-flash-lite-preview-20260317-garbage dom-agi n10 garbage 269 8 2026-03-17
ec-dom-agi-n20-run01-gemini-3.1-flash-lite-preview-20260318-garbage dom-agi n20 garbage 683 5 2026-03-18
ec-mag0-n10-run01-gemini-9of10 mag0 n10 agent-loss 306 21 2026-03-17
ec-mag0-n30-run01-gemini-3.1-flash-lite-preview-20260318-27of30 mag0 n30 agent-loss 1155 70 2026-03-18
ec-mag0-n30-run01-gemini-3.1-flash-lite-preview-20260318-28of30 mag0 n30 agent-loss 1427 65 2026-03-18
ec-mag25-n10-run01-gemini-3.1-flash-lite-preview-20260317-garbage mag25 n10 garbage 356 78 2026-03-17
ec-mag25-n10-run01-gemini-3.1-flash-lite-preview-20260318-collapsed mag25 n10 collapsed 219 0 2026-03-18
ec-mag25-n30-run01-gemini-3.1-flash-lite-preview-20260318-garbage mag25 n30 garbage 1483 0 2026-03-18
ec-mag5-n10-run01-gemini-3.1-flash-lite-preview-20260317-garbage mag5 n10 garbage 505 4 2026-03-17
ec-mag5-n10-run01-gemini-3.1-flash-lite-preview-20260318-collapsed mag5 n10 collapsed 200 22 2026-03-18
ec-mag5-n20-run01-gemini-3.1-flash-lite-preview-20260318-garbage mag5 n20 garbage 1104 0 2026-03-18
ec-mag5-n30-run01-gemini-3.1-flash-lite-preview-20260318-garbage mag5 n30 garbage 1624 26 2026-03-18

Totals: 9,506 posts, 311 comments across 13 failure runs.

Companion Dataset

The best clean runs (without degeneration) are available in the main dataset:

Other models in the series:

Dataset Structure

Data is organized by failure type:

data/
├── garbage/
│   ├── <run-dirname>/
│   │   ├── posts.jsonl
│   │   ├── comments.jsonl
│   │   ├── agents.jsonl
│   │   ├── metadata.json
│   │   ├── database-final.sql
│   │   └── logs/
│   └── ...
├── collapsed/
│   └── ...
└── agent-loss/
    └── ...

Data Schemas

Same schemas as the main dataset — see Ayushnangia/moltbook-entropy-collapse-gemini-flash-lite for full field descriptions.

Citation

@dataset{moltbook_gemini_failures_2026,
  title={MoltBook Entropy Collapse — Gemini 3.1 Flash Lite Failure Runs},
  author={Nangia, Ayush},
  year={2026},
  url={https://huggingface.co/datasets/Ayushnangia/moltbook-entropy-collapse-gemini-flash-lite-failures},
  note={Model degeneration data from multi-agent social simulation using Gemini 3.1 Flash Lite}
}

License

Apache 2.0

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