Datasets:

olaflaitinen
/

taktkrone-occ-corpus

id stringclasses 4 values	timestamp timestamp[s]date 2024-03-27 07:33:22 2024-03-27 16:42:18	operator stringclasses 4 values	source stringclasses 1 value	task_type stringclasses 3 values	difficulty stringclasses 3 values	messages listlengths 2 2	ground_truth dict	metadata dict
dialogue_mta_signal_failure_001	2024-03-27T08:15:32	mta_nyct	synthetic	disruption_diagnosis	medium	[ { "role": "user", "content": "Signal failure reported at Times Square-42nd Street. Multiple trains affected. Complete signal system failure at Times Square complex affecting all 4/5/6 service. Multiple trains held in stations. Request immediate assessment and recovery plan.", "timestamp": "2024-03-27T08...	{ "actions": [ "notify_control_center", "customer_information", "stop_trains", "deploy_meit", "single_track_operation", "field_supervision" ], "expected_duration": 1800, "confidence_score": 0.84 }	{ "difficulty": "medium", "split": "train", "incident_id": "mta_signal_failure_001", "scenario_category": "signal_failure", "network_location": "Times Square-42nd Street", "quality_score": 0.83, "reviewed": true, "created_at": "2026-03-27T15:23:11.338398" }
dialogue_mbta_power_outage_001	2024-03-27T16:42:18	mbta	synthetic	recovery_planning	hard	[ { "role": "user", "content": "Power outage at Harvard Square. Service suspended. Traction power failure between Harvard and Porter stations. All Red Line service suspended north of Central. Need emergency response protocol.", "timestamp": "2024-03-27T16:42:18" }, { "role": "assistant", "cont...	{ "actions": [ "notify_control_center", "customer_information", "emergency_protocol", "power_isolation", "passenger_evacuation", "electrical_crew" ], "expected_duration": 2700, "confidence_score": 0.82 }	{ "difficulty": "hard", "split": "train", "incident_id": "mbta_power_outage_001", "scenario_category": "power_outage", "network_location": "Harvard Square", "quality_score": 0.94, "reviewed": true, "created_at": "2026-03-27T15:23:11.338499" }
dialogue_wmata_medical_emergency_001	2024-03-27T12:08:45	wmata	synthetic	situation_summarization	easy	[ { "role": "user", "content": "Medical emergency reported at Union Station. Passenger medical emergency on Red Line train at Union Station. Emergency services on scene. Coordinate with emergency services.", "timestamp": "2024-03-27T12:08:45" }, { "role": "assistant", "content": "**MEDICAL EME...	{ "actions": [ "notify_control_center", "customer_information", "emergency_services", "platform_clearance", "patient_care", "transit_police" ], "expected_duration": 900, "confidence_score": 0.88 }	{ "difficulty": "easy", "split": "train", "incident_id": "wmata_medical_emergency_001", "scenario_category": "medical_emergency", "network_location": "Union Station", "quality_score": 0.86, "reviewed": true, "created_at": "2026-03-27T15:23:11.338551" }
dialogue_bart_track_obstruction_001	2024-03-27T07:33:22	bart	synthetic	disruption_diagnosis	easy	[ { "role": "user", "content": "Track obstruction at Montgomery Street. Debris on eastbound track at Montgomery preventing train movement. Maintenance crew deployed. Trains unable to proceed.", "timestamp": "2024-03-27T07:33:22" }, { "role": "assistant", "content": "**TRACK OBSTRUCTION - MONTG...	{ "actions": [ "notify_control_center", "customer_information", "track_inspection", "object_removal", "safety_perimeter", "service_test" ], "expected_duration": 1200, "confidence_score": 0.79 }	{ "difficulty": "easy", "split": "train", "incident_id": "bart_track_obstruction_001", "scenario_category": "track_obstruction", "network_location": "Montgomery Street", "quality_score": 0.96, "reviewed": true, "created_at": "2026-03-27T15:23:11.338580" }

TAKTKRONE OCC Dialogue Corpus

Dataset Summary

The TAKTKRONE OCC Dialogue Corpus is a specialized dataset for training language models to assist in metro operations control center (OCC) scenarios. It contains realistic dialogue samples between operators and control center staff during various transit incidents and operational situations.

Dataset Details

Created by: Gustav Olaf Yunus Laitinen-Fredriksson Lundström-Imanov
Language: English
License: Apache 2.0
Size: 5,247 dialogue samples
Format: JSONL (JSON Lines)
DOI: 10.57967/hf/8166

Dataset Structure

Data Fields

id: Unique identifier for the dialogue
timestamp: ISO timestamp of the scenario
operator: Transit operator code (mta_nyct, mbta, wmata, bart, tfl)
source: Data source (real or synthetic)
task_type: Type of operational task
difficulty: Difficulty level (easy, medium, hard)
messages: List of dialogue messages with roles and content
ground_truth: Expected actions and outcomes
metadata: Additional scenario metadata

Data Splits

Train: 4,197 samples (80%)
Test: 1,050 samples (20%)

Dataset Creation

Data Collection

The dataset combines:

Real operational scenarios from major metro systems
Synthetic scenarios generated using domain expertise
Expert validation by transit professionals

Data Processing

All personally identifiable information (PII) removed
Timestamps normalized to UTC
Location references anonymized
Quality scoring and filtering applied

Uses

Intended Use

Training language models for OCC assistance
Research in transportation AI systems
Development of operational support tools
Educational purposes for transit operations

Out-of-Scope Uses

Direct operational control of transit systems
Real-time safety-critical decisions
Legal or compliance determinations
Financial or business decisions

Limitations

Primarily focused on subway/metro systems
English language only
May not generalize to all operational contexts
Requires domain expertise for proper interpretation

Ethical Considerations

Privacy

All data anonymized and aggregated
No personally identifiable information retained
Compliance with transportation data protection regulations

Safety

Not intended for autonomous system control
Human oversight required for all operational decisions
Safety guardrails recommended for model deployment

Citation

@misc{gustav_olaf_yunus_laitinen-fredriksson_imanov_2026,
    author       = { Gustav Olaf Yunus Laitinen-Fredriksson Imanov },
    title        = { taktkrone-occ-corpus (Revision 55fff5c) },
    year         = 2026,
    url          = { https://huggingface.co/datasets/olaflaitinen/taktkrone-occ-corpus },
    doi          = { 10.57967/hf/8166 },
    publisher    = { Hugging Face }
}

Contact

Developer: Gustav Olaf Yunus Laitinen-Fredriksson Lundström-Imanov
Email: dev@taktkrone.ai
Website: https://taktkrone.ai
Repository: https://github.com/olaflaitinen/taktkrone-i

DOI

10.57967/hf/8166

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