Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K<n<100K
Tags:
License:
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 | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** [https://huggingface.co/datasets/elihoole/asrs-aviation-reports] | |
- **Repository:** [ASRS Incident Reports Summarisation code repo](https://github.com/elihoole/asrs-incident-reports) | |
- **Point of Contact:** [Elijah Hoole](mailto:E.J.Hoole@sms.ed.ac.uk) | |
### 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](https://huggingface.co/metrics/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](https://huggingface.co/datasets/elihoole/asrs-aviation-reports/viewer/elihoole--asrs-aviation-reports/train) 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. | |