metadata

annotations_creators:
  - expert-generated
language:
  - en
language_creators:
  - other
license:
  - apache-2.0
multilinguality:
  - monolingual
pretty_name: 'ASRS Aviation Incident Reports '
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - summarization

Dataset Card for ASRS Aviation Incident Reports

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: [https://huggingface.co/datasets/elihoole/asrs-aviation-reports]
Repository: ASRS Incident Reports Summarisation code repo
Point of Contact: Elijah Hoole

Dataset Summary

This dataset collects 47,723 aviation incident reports published in the Aviation Safety Reporting System (ASRS) database maintained by NASA.

Supported Tasks and Leaderboards

'summarization': Dataset can be used to train a model for abstractive and extractive summarization. The model performance is measured by how high the output summary's ROUGE score for a given narrative account of an aviation incident is when compared to the synopsis as written by a NASA expert. Models and scores to follow.

Languages

The BCP-47 code for English as generally spoken in the United States is en-US and the BCP-47 code for English as generally spoken in the United Kingdom is en-GB. It is unknown if other varieties of English are represented in the data.

Dataset Structure

Data Instances

For each instance, there is a string for the narrative account (Report 1_Narrative), a string for the synopsis (Report 1.2_Synopsis), and a string for the document id (acn_num_ACN). Some instances may have two narratives (Report 1_Narrative & Report 2_Narrative) and extended analyses produced by experts (Report 1.1_Callback & Report 2.1_Callback). Other fields contain metadata such as time, location, flight conditions, aircraft model name, etc. associated with the incident. See the ASRS Incident Reports dataset viewer to explore more examples.

{'acn_num_ACN': '1206196',
 'Report 1_Narrative': 'While taxiing company B757 aircraft from gate to Hangar line; we were cleared by Ground Control to proceed via A-T-join runway XX. After receiving subsequent clearance to T1 [then associated taxiways] to the hangar; we caught up to a dark; apparently unpowered company livery RJ (ERJ-145) near the T1 intersection.  The RJ was being towed dark with absolutely no external lighting on; a completely dark aircraft.  This situation only presented itself as we drew close to the aircraft in tow.  The towbarless tractor (supertug) was lit externally; but minimally visible from our vantage point; with a completely dark aircraft between us and the tractor.  Once the towing operation completed a turn onto taxiway T; a single green light came in view which is somehow mounted on supertug; presented a similar appearance to a green wing navigation light common on all aircraft.  To say this presented a confusing situation is an understatement. [Aircraft] operation in Noncompliance with FARs; Policy and Procedures.  This is a situation never before observed in [my] 30 plus years as a taxi mechanic at our location.  There are long established standards in place regarding external light usage and requirements; both in gate areas; as well as movement in active controlled taxiways; most with an eye on safety regarding aircraft position (nav lights) and anti-collision lights signaling running engines and/or aircraft movement.',
 'Report 1.1_Callback': '',
 'Report 2_Narrative': '',
 'Report 2.1_Callback': '',
 'Report 1.2_Synopsis': 'A Line Aircraft Maintenance Technician (AMT) taxiing a company B757 aircraft reports coming up on a dark; unpowered ERJ-145 aircraft with no external lighting on. Light on the towbarless Supertug tractor only minimally visible; with completely dark aircraft between their B757 and Tow tractor. Technician notes long established standards requiring Anti-Collision and Nav lights not enforced during aircraft tow.'}

The average token count for the articles and the highlights are provided below.

Feature	Number of Instances	Mean Token Count
Report 1_Narrative	47,723	281
Report 1.1_Callback	1,435	103
Report 2_Narrative	11,228	169
Report 2.1 Callback	85	110
Report 1.2_Synopsis	47,723	27

Data fields

More data explanation.

Datasets:

elihoole
/

asrs-aviation-reports