Datasets:

jang1563
/

causalatlas-move1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
primary_delta: double
B_boot: int64
combo: struct<combo_in_train: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<ite (... 961 chars omitted)
  child 0, combo_in_train: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<item: double>, ADD_minus_G (... 93 chars omitted)
      child 0, nP: int64
      child 1, nE: int64
      child 2, GEARS_acc: list<item: double>
          child 0, item: double
      child 3, ADD_acc: list<item: double>
          child 0, item: double
      child 4, ADD_minus_GEARS_acc: list<item: double>
          child 0, item: double
      child 5, GEARS_AUROC: list<item: double>
          child 0, item: double
      child 6, ADD_AUROC: list<item: double>
          child 0, item: double
  child 1, combo_seen1: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<item: double>, ADD_minus_G (... 93 chars omitted)
      child 0, nP: int64
      child 1, nE: int64
      child 2, GEARS_acc: list<item: double>
          child 0, item: double
      child 3, ADD_acc: list<item: double>
          child 0, item: double
      child 4, ADD_minus_GEARS_acc: list<item: double>
          child 0, item: double
      child 5, GEARS_AUROC: list<item: double>
          child 0, item: double
      child 6, ADD_AUROC: list<item: double>
          child 0, item: double
  child 2, combo_seen0: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<item: double>, ADD_minus_G (... 93 chars omit
...
ory: string
  child 2, default_branch: string
  child 3, license: string
  child 4, description: string
pipeline_files: list<item: struct<path: string, stage: string>>
  child 0, item: struct<path: string, stage: string>
      child 0, path: string
      child 1, stage: string
generated_date: timestamp[s]
release: struct<version: string, tag: string, release_url: string, canonical_revision: string>
  child 0, version: string
  child 1, tag: string
  child 2, release_url: string
  child 3, canonical_revision: string
validation: struct<workflow: string, local_command: string, checks: list<item: string>>
  child 0, workflow: string
  child 1, local_command: string
  child 2, checks: list<item: string>
      child 0, item: string
entrypoints: struct<human_readme: string, contributing: string, support: string, security_policy: string, code_of (... 345 chars omitted)
  child 0, human_readme: string
  child 1, contributing: string
  child 2, support: string
  child 3, security_policy: string
  child 4, code_of_conduct: string
  child 5, claim_map: string
  child 6, reproducibility: string
  child 7, data_provenance: string
  child 8, archival_metadata: string
  child 9, archival_release_notes: string
  child 10, bug_issue_template: string
  child 11, documentation_issue_template: string
  child 12, pull_request_template: string
  child 13, ci_workflow: string
  child 14, validator: string
  child 15, main_writeup: string
  child 16, synthesis: string
  child 17, one_page_arc: string
to
{'schema_version': Value('string'), 'generated_date': Value('timestamp[s]'), 'project': {'name': Value('string'), 'repository': Value('string'), 'default_branch': Value('string'), 'license': Value('string'), 'description': Value('string')}, 'release': {'version': Value('string'), 'tag': Value('string'), 'release_url': Value('string'), 'canonical_revision': Value('string')}, 'linked_public_artifacts': {'causalatlas_move1_dataset': Value('string'), 'verify_or_trust_repository': Value('string'), 'verify_or_trust_dataset': Value('string'), 'grounding_atlas_repository': Value('string')}, 'entrypoints': {'human_readme': Value('string'), 'contributing': Value('string'), 'support': Value('string'), 'security_policy': Value('string'), 'code_of_conduct': Value('string'), 'claim_map': Value('string'), 'reproducibility': Value('string'), 'data_provenance': Value('string'), 'archival_metadata': Value('string'), 'archival_release_notes': Value('string'), 'bug_issue_template': Value('string'), 'documentation_issue_template': Value('string'), 'pull_request_template': Value('string'), 'ci_workflow': Value('string'), 'validator': Value('string'), 'main_writeup': Value('string'), 'synthesis': Value('string'), 'one_page_arc': Value('string')}, 'data_policy': {'redistributes_third_party_raw_data': Value('bool'), 'small_result_artifacts_in_repo': Value('bool'), 'raw_data_regenerated_from_public_sources': Value('bool'), 'external_dataset_home': Value('string'), 'external_result_artifact_dataset': V
...
ROC': Value('float64'), 'ADD_AUROC': Value('float64'), 'GEARS_minus_ADD': Value('float64')}, 'heldout_synergy_edges': {'GEARS_AUROC': Value('float64'), 'ADD_AUROC': Value('float64'), 'GEARS_minus_ADD': Value('float64'), 'ci95': List(Value('float64'))}, 'STATE_accuracy': Value('float64'), 'no_change_accuracy': Value('float64'), 'STATE_edge_AUROC': Value('float64'), 'STATE_cosine_PDS': Value('float64'), 'always_additive_net': Value('float64'), 'trust_all_FM_net': Value('float64'), 'haiku_net': Value('float64'), 'sonnet_net': Value('float64'), 'opus_net': Value('float64'), 'uniform_mapping_informed_minus_random_AULC': Value('float64'), 'hit_discovery_recall_lift_vs_random': Value('float64'), 'weak_signal_regime_AUC_range': List(Value('float64')), 'additive_disagreement_AUC': Value('float64')}, 'evidence_files': List(Value('string')), 'code_files': List(Value('string')), 'linked_benchmark': Value('string'), 'linked_dataset': Value('string')}), 'result_artifacts': List({'path': Value('string'), 'type': Value('string'), 'schema': Value('string'), 'strict_json': Value('bool'), 'description': Value('string')}), 'schema_files': List({'path': Value('string'), 'type': Value('string'), 'description': Value('string')}), 'validation': {'workflow': Value('string'), 'local_command': Value('string'), 'checks': List(Value('string'))}, 'pipeline_files': List({'path': Value('string'), 'stage': Value('string')}), 'quality_upgrade_plan': List({'priority': Value('int64'), 'item': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              primary_delta: double
              B_boot: int64
              combo: struct<combo_in_train: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<ite (... 961 chars omitted)
                child 0, combo_in_train: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<item: double>, ADD_minus_G (... 93 chars omitted)
                    child 0, nP: int64
                    child 1, nE: int64
                    child 2, GEARS_acc: list<item: double>
                        child 0, item: double
                    child 3, ADD_acc: list<item: double>
                        child 0, item: double
                    child 4, ADD_minus_GEARS_acc: list<item: double>
                        child 0, item: double
                    child 5, GEARS_AUROC: list<item: double>
                        child 0, item: double
                    child 6, ADD_AUROC: list<item: double>
                        child 0, item: double
                child 1, combo_seen1: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<item: double>, ADD_minus_G (... 93 chars omitted)
                    child 0, nP: int64
                    child 1, nE: int64
                    child 2, GEARS_acc: list<item: double>
                        child 0, item: double
                    child 3, ADD_acc: list<item: double>
                        child 0, item: double
                    child 4, ADD_minus_GEARS_acc: list<item: double>
                        child 0, item: double
                    child 5, GEARS_AUROC: list<item: double>
                        child 0, item: double
                    child 6, ADD_AUROC: list<item: double>
                        child 0, item: double
                child 2, combo_seen0: struct<nP: int64, nE: int64, GEARS_acc: list<item: double>, ADD_acc: list<item: double>, ADD_minus_G (... 93 chars omit
              ...
              ory: string
                child 2, default_branch: string
                child 3, license: string
                child 4, description: string
              pipeline_files: list<item: struct<path: string, stage: string>>
                child 0, item: struct<path: string, stage: string>
                    child 0, path: string
                    child 1, stage: string
              generated_date: timestamp[s]
              release: struct<version: string, tag: string, release_url: string, canonical_revision: string>
                child 0, version: string
                child 1, tag: string
                child 2, release_url: string
                child 3, canonical_revision: string
              validation: struct<workflow: string, local_command: string, checks: list<item: string>>
                child 0, workflow: string
                child 1, local_command: string
                child 2, checks: list<item: string>
                    child 0, item: string
              entrypoints: struct<human_readme: string, contributing: string, support: string, security_policy: string, code_of (... 345 chars omitted)
                child 0, human_readme: string
                child 1, contributing: string
                child 2, support: string
                child 3, security_policy: string
                child 4, code_of_conduct: string
                child 5, claim_map: string
                child 6, reproducibility: string
                child 7, data_provenance: string
                child 8, archival_metadata: string
                child 9, archival_release_notes: string
                child 10, bug_issue_template: string
                child 11, documentation_issue_template: string
                child 12, pull_request_template: string
                child 13, ci_workflow: string
                child 14, validator: string
                child 15, main_writeup: string
                child 16, synthesis: string
                child 17, one_page_arc: string
              to
              {'schema_version': Value('string'), 'generated_date': Value('timestamp[s]'), 'project': {'name': Value('string'), 'repository': Value('string'), 'default_branch': Value('string'), 'license': Value('string'), 'description': Value('string')}, 'release': {'version': Value('string'), 'tag': Value('string'), 'release_url': Value('string'), 'canonical_revision': Value('string')}, 'linked_public_artifacts': {'causalatlas_move1_dataset': Value('string'), 'verify_or_trust_repository': Value('string'), 'verify_or_trust_dataset': Value('string'), 'grounding_atlas_repository': Value('string')}, 'entrypoints': {'human_readme': Value('string'), 'contributing': Value('string'), 'support': Value('string'), 'security_policy': Value('string'), 'code_of_conduct': Value('string'), 'claim_map': Value('string'), 'reproducibility': Value('string'), 'data_provenance': Value('string'), 'archival_metadata': Value('string'), 'archival_release_notes': Value('string'), 'bug_issue_template': Value('string'), 'documentation_issue_template': Value('string'), 'pull_request_template': Value('string'), 'ci_workflow': Value('string'), 'validator': Value('string'), 'main_writeup': Value('string'), 'synthesis': Value('string'), 'one_page_arc': Value('string')}, 'data_policy': {'redistributes_third_party_raw_data': Value('bool'), 'small_result_artifacts_in_repo': Value('bool'), 'raw_data_regenerated_from_public_sources': Value('bool'), 'external_dataset_home': Value('string'), 'external_result_artifact_dataset': V
              ...
              ROC': Value('float64'), 'ADD_AUROC': Value('float64'), 'GEARS_minus_ADD': Value('float64')}, 'heldout_synergy_edges': {'GEARS_AUROC': Value('float64'), 'ADD_AUROC': Value('float64'), 'GEARS_minus_ADD': Value('float64'), 'ci95': List(Value('float64'))}, 'STATE_accuracy': Value('float64'), 'no_change_accuracy': Value('float64'), 'STATE_edge_AUROC': Value('float64'), 'STATE_cosine_PDS': Value('float64'), 'always_additive_net': Value('float64'), 'trust_all_FM_net': Value('float64'), 'haiku_net': Value('float64'), 'sonnet_net': Value('float64'), 'opus_net': Value('float64'), 'uniform_mapping_informed_minus_random_AULC': Value('float64'), 'hit_discovery_recall_lift_vs_random': Value('float64'), 'weak_signal_regime_AUC_range': List(Value('float64')), 'additive_disagreement_AUC': Value('float64')}, 'evidence_files': List(Value('string')), 'code_files': List(Value('string')), 'linked_benchmark': Value('string'), 'linked_dataset': Value('string')}), 'result_artifacts': List({'path': Value('string'), 'type': Value('string'), 'schema': Value('string'), 'strict_json': Value('bool'), 'description': Value('string')}), 'schema_files': List({'path': Value('string'), 'type': Value('string'), 'description': Value('string')}), 'validation': {'workflow': Value('string'), 'local_command': Value('string'), 'checks': List(Value('string'))}, 'pipeline_files': List({'path': Value('string'), 'stage': Value('string')}), 'quality_upgrade_plan': List({'priority': Value('int64'), 'item': Value('string')})}
              because column names don't match

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CausalAtlas Move 1 Public Artifacts

This dataset hosts the lightweight, license-clean public artifacts for CausalAtlas Move 1, a measurement study of causal grounding in LLM-orchestrated single-cell perturbation foundation models.

_{Visual abstract. Five measured settings converge on one deployable recipe: default to the free additive baseline, flag FM disagreement, and verify the highest-value uncertain cases.}

The source repository is jang1563/causalatlas. This snapshot was prepared for the v0.1.4 public release from GitHub commit b6bfcbbdb6289ffe7fe69b8d64dcc6b85840c625.

At a glance

Field	Value
Artifact scope	Lightweight Move-1 public artifacts, schemas, and documentation
Source repository	`jang1563/causalatlas`
Release snapshot	`v0.1.4`
Human evidence map	`docs/CLAIMS.md`
Machine-readable map	`artifact_manifest.json`
Reproducibility notes	`docs/REPRODUCIBILITY.md`
Data provenance	`docs/DATA_PROVENANCE.md`
Companion benchmark data	`jang1563/verify-or-trust`

artifact_manifest.json - machine-readable map of claims, files, schemas, linked artifacts, governance files, and release metadata.
.zenodo.json - archival metadata for DOI-ready GitHub/Zenodo releases.
CONTRIBUTING.md, SUPPORT.md, SECURITY.md, and CODE_OF_CONDUCT.md - public contribution, support, reporting, and conduct guidelines.
.github/ISSUE_TEMPLATE/*.yml and .github/PULL_REQUEST_TEMPLATE.md - collaboration templates mirrored from the source repository.
docs/ARCHIVAL_RELEASE.md - release invariants and DOI update checklist.
results/move1/layerA_norman.json - Norman / GEARS layer-A result artifact.
results/move1/layerA_tahoe.json - Tahoe / Arc STATE layer-A result artifact.
results/move1/*.md - public result notes and synthesis writeups.
results/move1/move1_arc.svg - one-page visual arc.
schemas/*.json - JSON Schemas for the released machine-readable artifacts.
docs/*.md - claim map, reproducibility notes, and data provenance.

What Is Not Included

This dataset does not redistribute raw third-party single-cell data, GEARS checkpoints, Tahoe/Arc raw outputs, large regenerated intermediates, local run logs, or non-release working material. Upstream data and model licenses remain with their original providers.

For the verification-allocation benchmark substrate and live differential expression assay cells, use the linked dataset: jang1563/verify-or-trust.

Intended Use

Inspect the CausalAtlas Move-1 claim map, result artifacts, schemas, and release metadata.
Download lightweight artifacts without cloning the full GitHub repository.
Use the JSON result artifacts in downstream checks, notebooks, or reproducibility scripts.
Do not treat this dataset as a raw single-cell data release or as a redistribution of third-party model outputs.

Load A Result Artifact

import json
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="jang1563/causalatlas-move1",
    filename="results/move1/layerA_norman.json",
    repo_type="dataset",
)

with open(path) as f:
    layer_a_norman = json.load(f)

print(layer_a_norman.keys())

Validation

The GitHub repository validates these artifacts with:

python3 scripts/validate_public_release.py

Expected checks include strict JSON parsing, manifest path validation, public file-set guards, and public text guards. See docs/REPRODUCIBILITY.md, docs/DATA_PROVENANCE.md, and docs/ARCHIVAL_RELEASE.md for release boundaries.