Dataset Viewer
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
validated: bool
required_validation_gates_passed: bool
case_id: string
validation_phase: string
trajectory: struct<attempt-01: struct<attempt_id: string, decision_files: int64, result_files: int64, paired_cou (... 1872 chars omitted)
child 0, attempt-01: struct<attempt_id: string, decision_files: int64, result_files: int64, paired_counts_match: bool, tu (... 712 chars omitted)
child 0, attempt_id: string
child 1, decision_files: int64
child 2, result_files: int64
child 3, paired_counts_match: bool
child 4, turn_numbers_contiguous: bool
child 5, step_indices_match_turns: bool
child 6, decision_and_result_event_ids_match_filenames: bool
child 7, observable_state_chain_matches: bool
child 8, chosen_actions_were_legal: bool
child 9, session_id_is_constant: bool
child 10, inherited_snapshot_hash_in_every_decision: bool
child 11, blind_failure_marker_hash_in_every_post_failure_decision: bool
child 12, decision_phase_counts: struct<blind-independent: int64>
child 0, blind-independent: int64
child 13, local_claim_references: struct<>
child 14, inherited_claim_references: struct<>
child 15, level_completion_turns: list<item: int64>
child 0, item: int64
child 16, life_loss_turns: list<item: int64>
child 0, item: int64
child 17, game_won_turns: list<item: null>
child 0, item: null
child 18, final_result_step_index: int64
child
...
mpt-01_evidence_files_mode_0444: bool
child 3, oracle_or_source_inspection_before_failure_freeze: bool
child 4, failure_frozen_before_post_failure_session_start: bool
child 5, oracle_phase_entered_after_failure_freeze: bool
child 6, post_failure_sources_inspected: list<item: string>
child 0, item: string
child 7, authoritative_answer_or_game_rule_source_found: bool
child 8, empirical_probe_evidence_used_for_solution: bool
hash_audit: struct<attempt-01_sorted_turn_hashes: string, attempt-02_sorted_turn_hashes: string, combined_sorted (... 223 chars omitted)
child 0, attempt-01_sorted_turn_hashes: string
child 1, attempt-02_sorted_turn_hashes: string
child 2, combined_sorted_turn_hashes: string
child 3, inherited_claims_jsonl: string
child 4, inherited_knowledge_json: string
child 5, terminal_failure_marker: string
child 6, planned_atomic_skills_jsonl: string
child 7, planned_run_summary_json: string
child 8, collection_hash_method: string
secret_token_present_in_output: bool
token_leak_scan_file_count_before_final_artifacts: int64
token_value_or_hash_recorded: bool
json_artifacts_parse: bool
repository_worktree_clean: bool
repository_files_modified: bool
formal_e2k40_data_modified: bool
other_case_files_modified: bool
warnings: list<item: null>
child 0, item: null
errors: list<item: null>
child 0, item: null
oracle_consulted: bool
attempt_id: string
benchmark_or_client_source_inspected: bool
authoritative_answer_or_source_inspected: bool
to
{'validated': Value('bool'), 'required_validation_gates_passed': Value('bool'), 'case_id': Value('string'), 'attempt_id': Value('string'), 'validation_phase': Value('string'), 'trajectory': {'server_step_index_actions_applied': Value('int64'), 'trace_rows': Value('int64'), 'trace_turn_range': List(Value('int64')), 'trace_turn_numbers_complete': Value('bool'), 'trace_missing_turns': List(Value('int64')), 'trace_duplicate_turns': List(Value('null')), 'trace_gap_was_present_before_terminal_continuation': Value('bool'), 'retained_individual_decision_files': Value('int64'), 'retained_individual_result_files': Value('int64'), 'retained_individual_turn_range': List(Value('int64')), 'paired_counts_match': Value('bool'), 'retained_turn_numbers_contiguous': Value('bool'), 'step_indices_match_turns': Value('bool'), 'decision_turns_and_trace_event_ids_match_filenames': Value('bool'), 'observable_state_chain_matches_for_retained_pairs': Value('bool'), 'chosen_actions_were_legal_for_retained_pairs': Value('bool'), 'session_id_is_constant_for_retained_results': Value('bool'), 'level_boundary_transition_field_clears_on_next_request': List(Value('int64')), 'final_result_step_index': Value('int64'), 'final_status': Value('string'), 'final_done': Value('bool'), 'game_won_event_present': Value('bool'), 'levels_completed': Value('int64'), 'level_completion_turns': List(Value('int64')), 'lives_lost': Value('int64'), 'life_loss_turns': List(Value('null')), 'lives_left': Value('int64')}, 'atomic_claims': {'count': Value('int64'), 'exact_schema_and_field_order_valid': Value('bool'), 'unique_claim_ids': Value('bool'), 'evidence_ids_resolve_to_supplied_trace_events': Value('bool'), 'status_counts': {'supported': Value('int64'), 'contradicted': Value('int64'), 'hypothesis': Value('int64')}, 'provenance_counts': {'blind': Value('int64'), 'post_failure_oracle': Value('int64')}}, 'inherited_snapshot': {'claim_count': Value('int64'), 'manifest_sha256': Value('string'), 'read_before_first_interaction': Value('bool'), 'p2_claims_assumed_without_p2_evidence': Value('bool')}, 'json_artifacts_parse': Value('bool'), 'secret_token_present_in_output': Value('bool'), 'oracle_consulted': Value('bool'), 'authoritative_answer_or_source_inspected': Value('bool'), 'benchmark_or_client_source_inspected': Value('bool'), 'formal_e2k40_data_modified': Value('bool'), 'warnings': List(Value('string')), 'errors': List(Value('null'))}
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 483, 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 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
validated: bool
required_validation_gates_passed: bool
case_id: string
validation_phase: string
trajectory: struct<attempt-01: struct<attempt_id: string, decision_files: int64, result_files: int64, paired_cou (... 1872 chars omitted)
child 0, attempt-01: struct<attempt_id: string, decision_files: int64, result_files: int64, paired_counts_match: bool, tu (... 712 chars omitted)
child 0, attempt_id: string
child 1, decision_files: int64
child 2, result_files: int64
child 3, paired_counts_match: bool
child 4, turn_numbers_contiguous: bool
child 5, step_indices_match_turns: bool
child 6, decision_and_result_event_ids_match_filenames: bool
child 7, observable_state_chain_matches: bool
child 8, chosen_actions_were_legal: bool
child 9, session_id_is_constant: bool
child 10, inherited_snapshot_hash_in_every_decision: bool
child 11, blind_failure_marker_hash_in_every_post_failure_decision: bool
child 12, decision_phase_counts: struct<blind-independent: int64>
child 0, blind-independent: int64
child 13, local_claim_references: struct<>
child 14, inherited_claim_references: struct<>
child 15, level_completion_turns: list<item: int64>
child 0, item: int64
child 16, life_loss_turns: list<item: int64>
child 0, item: int64
child 17, game_won_turns: list<item: null>
child 0, item: null
child 18, final_result_step_index: int64
child
...
mpt-01_evidence_files_mode_0444: bool
child 3, oracle_or_source_inspection_before_failure_freeze: bool
child 4, failure_frozen_before_post_failure_session_start: bool
child 5, oracle_phase_entered_after_failure_freeze: bool
child 6, post_failure_sources_inspected: list<item: string>
child 0, item: string
child 7, authoritative_answer_or_game_rule_source_found: bool
child 8, empirical_probe_evidence_used_for_solution: bool
hash_audit: struct<attempt-01_sorted_turn_hashes: string, attempt-02_sorted_turn_hashes: string, combined_sorted (... 223 chars omitted)
child 0, attempt-01_sorted_turn_hashes: string
child 1, attempt-02_sorted_turn_hashes: string
child 2, combined_sorted_turn_hashes: string
child 3, inherited_claims_jsonl: string
child 4, inherited_knowledge_json: string
child 5, terminal_failure_marker: string
child 6, planned_atomic_skills_jsonl: string
child 7, planned_run_summary_json: string
child 8, collection_hash_method: string
secret_token_present_in_output: bool
token_leak_scan_file_count_before_final_artifacts: int64
token_value_or_hash_recorded: bool
json_artifacts_parse: bool
repository_worktree_clean: bool
repository_files_modified: bool
formal_e2k40_data_modified: bool
other_case_files_modified: bool
warnings: list<item: null>
child 0, item: null
errors: list<item: null>
child 0, item: null
oracle_consulted: bool
attempt_id: string
benchmark_or_client_source_inspected: bool
authoritative_answer_or_source_inspected: bool
to
{'validated': Value('bool'), 'required_validation_gates_passed': Value('bool'), 'case_id': Value('string'), 'attempt_id': Value('string'), 'validation_phase': Value('string'), 'trajectory': {'server_step_index_actions_applied': Value('int64'), 'trace_rows': Value('int64'), 'trace_turn_range': List(Value('int64')), 'trace_turn_numbers_complete': Value('bool'), 'trace_missing_turns': List(Value('int64')), 'trace_duplicate_turns': List(Value('null')), 'trace_gap_was_present_before_terminal_continuation': Value('bool'), 'retained_individual_decision_files': Value('int64'), 'retained_individual_result_files': Value('int64'), 'retained_individual_turn_range': List(Value('int64')), 'paired_counts_match': Value('bool'), 'retained_turn_numbers_contiguous': Value('bool'), 'step_indices_match_turns': Value('bool'), 'decision_turns_and_trace_event_ids_match_filenames': Value('bool'), 'observable_state_chain_matches_for_retained_pairs': Value('bool'), 'chosen_actions_were_legal_for_retained_pairs': Value('bool'), 'session_id_is_constant_for_retained_results': Value('bool'), 'level_boundary_transition_field_clears_on_next_request': List(Value('int64')), 'final_result_step_index': Value('int64'), 'final_status': Value('string'), 'final_done': Value('bool'), 'game_won_event_present': Value('bool'), 'levels_completed': Value('int64'), 'level_completion_turns': List(Value('int64')), 'lives_lost': Value('int64'), 'life_loss_turns': List(Value('null')), 'lives_left': Value('int64')}, 'atomic_claims': {'count': Value('int64'), 'exact_schema_and_field_order_valid': Value('bool'), 'unique_claim_ids': Value('bool'), 'evidence_ids_resolve_to_supplied_trace_events': Value('bool'), 'status_counts': {'supported': Value('int64'), 'contradicted': Value('int64'), 'hypothesis': Value('int64')}, 'provenance_counts': {'blind': Value('int64'), 'post_failure_oracle': Value('int64')}}, 'inherited_snapshot': {'claim_count': Value('int64'), 'manifest_sha256': Value('string'), 'read_before_first_interaction': Value('bool'), 'p2_claims_assumed_without_p2_evidence': Value('bool')}, 'json_artifacts_parse': Value('bool'), 'secret_token_present_in_output': Value('bool'), 'oracle_consulted': Value('bool'), 'authoritative_answer_or_source_inspected': Value('bool'), 'benchmark_or_client_source_inspected': Value('bool'), 'formal_e2k40_data_modified': Value('bool'), 'warnings': List(Value('string')), 'errors': List(Value('null'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
E2K-40 v0.1 — experience-to-knowledge measurement trajectories
What this is. The frozen layer-1 input of the E2K (experience → knowledge) project: 40
interaction trajectories, 20 on ARC-AGI-3 games and 20 on DiG-bench puzzles, collected on
2026-08-30 with a Qwen3.8-27B actor, projected into reasoning-free bundles that an external
knowledge extractor is allowed to see, plus the collector attempts, container receipts and
Slurm logs behind them. The repository that produced it is
ziyan-wang98/knowledge-learning-e2k (E2K-40 v0.1 pipeline, src/knowledge_learning/e2k/).
Status of the measurement protocol. Collection and ingest are complete (40/40 main cases,
reports/validation.md = draft gate PASS). The second half of the v0.1 protocol — sending each
bundle to GPT-5.6 Pro for one knowledge claim and labelling it on four axes (truth, trace support,
atomicity, scope) — was not carried out: every extraction_status is empty and every
annotation_status is pending, and dataset.json still says input_state: open. The project
moved on to self-extraction with the same actor (see
ziyan98/E2K-loop-v0.2) and then to a
single-game knowledge pipeline
(ziyan98/E2K-cd82-harness-knowledge).
Contents
| path | files | size |
|---|---|---|
annotation-ui |
2 | 66 B |
collector-runs |
274 | 222.1 MiB |
discovery |
713 | 17.5 MiB |
dry-runs |
291 | 17.7 MiB |
e2k40-v0.1 |
1993 | 202.2 MiB |
slurm-logs |
2 | 976.3 KiB |
| total | 3275 | 460.4 MiB |
e2k40-v0.1/ — the dataset root (formal run)
ARC-AGI-3 (arc_agi3/ARC3_001..020) |
DiG-bench (dig_bench/DIG_001..020) |
|
|---|---|---|
| cases | 20 games (manifest.csv column source_game_id) |
20 puzzles P-1 … P-20 (P-21 is a held-out row with no artifacts) |
| trajectory outcome | 8 failure (GAME_OVER), 12 progress (budget exhausted) |
8 failure, 12 progress |
| transitions | 1,314 | 1,933 |
| actor | Qwen3.8-27B via vLLM 0.27.1, sampling contract v1.1 (max_tokens 4096, 4 retries per action, 100-decision budget, fixed seed) |
same, through the pinned dig-bench harness (commit d88405f) with an audited after state |
Per case:
raw_recording.jsonl— immutable evidence; every actor call including its reasoning.trace.json/trace.md— allow-listed projection with stableevent_ids (no reasoning, no labels, no source ids).metadata.json,frames/*.png(ARC, byte-deterministic renders),contact_sheet_*.png.model_bundle/—web_input.md, the contact sheets andinput_manifest.json: the only material an extractor may see; the blind ids areVISUAL_CASE_NNN/TEXT_CASE_NNN.actor_model_calls.jsonl(ARC) — the request/response log of the collector.
Root files: manifest.csv (one row per case, sha256 of every input), selection.json
(seed 20260824), extraction_queue.csv, configs/e2k40-v0.1.json (pins the extractor prompt
sha256, the ARC candidate universe and both upstream commits), prompts/extractor_v1.txt,
reports/ (validation and empty annotation summaries). The scientific protocol and the metric
definitions are docs/E2K40_PROTOCOL.md and docs/ANNOTATION_MEASUREMENTS.md in the code repository.
dry-runs/
e2k40-dry-run-v0.1/— the 2 ARC + 2 DiG dry run under contract v1.1 (2026-08-30), the run that fixed the contract before the formal collection.e2k40-dry-run-v0.1.contract2048-20260830T0442Z/— the archived dry run under the first contract (max_tokens2048, 2 retries); ARC turns regularly exhausted the thinking budget, which is why v1.1 exists.e2k40-smoke-manual-20260825/— a synthetic, sealed demo fixture (run_type: synthetic_demo); not research data.
collector-runs/
For every case the collector's attempts (attempt_NNN/collection.json, model_calls.jsonl,
official_recordings/) and the chosen_attempt.json that names the attempt whose recording was
ingested (sha256 of recording, calls and collection). _runtime/vllm-<job>.json are the per-job
receipts: container digest, model config sha256, sampling contract, shard assignment.
discovery/codex-sol-ultra-loop/
An exploratory pass from 2026-08-25/26, before the formal collection, in which a code agent
(OpenAI Codex CLI) played 15 of the ARC games and 10 DiG puzzles blind, recorded events,
decisions, frames and official recordings, and kept "atomic skill" ledgers (atomic_skills.jsonl,
inherited_*). dashboard/assets/ holds the renders used by the read-only discovery dashboard of
the code repository. It is included because the discovery dashboard reads it; it was not used by
any later stage.
slurm-logs/
collection-slurm-logs.tar.zst: the collector, vLLM, ingest and image-build job logs (Isambard-AI,
one GH200 per shard). Node-hour accounting of the whole project is in the code repository.
Not included, and why
- The ARC-AGI-3 environment files (game source; MIT-licensed by the ARC Prize Foundation, fetched by
arc-agi0.9.9 /arcengine0.9.3) and the dig-bench harness checkout: obtainable upstream, and the extractor must never see them. - Container images (
vllm-openai-0.27.1-aarch64-cu129.sif): rebuildable fromcontainers/*.defin the code repository.
Integrity
MANIFEST.sha256 lists the sha256 of every file in this repository; MANIFEST.json adds sizes.
SYMLINKS.tsv (when present) records symbolic links of the source tree that were not copied.
No file was altered on the way in; the dataset-root files keep the hashes recorded in manifest.csv.
Citation
Ziyan Wang (King's College London), E2K: experience-to-knowledge measurement, 2026. Data collected on Isambard-AI (BriCS, University of Bristol). Third-party content (ARC-AGI-3 observations, DiG-bench puzzles) remains under its own terms; the trajectories and bundles are released under CC BY 4.0.
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