DSTI/traffic-accidents-reports-5k
Accident Reports 5k (One-Paragraph) Rows: 5kSplits: train (~ 4500), eval (~ 500), test (~ 100)Task: text2text-generation (5W1H → single-paragraph incident report) Schema input (string): 5W1H lines: What, When, Where, Who, How, Why, ContingencyActions target (string): One single-paragraph, neutral report (no line breaks) file type: parquet dataset (training ready) Languages English License MIT Intended use… See the full description on the dataset page: https://huggingface.co/datasets/DSTI/traffic-accidents-reports-5k.
Accident Reports 5k (One-Paragraph)
Rows: 5k Splits: train (~ 4500), eval (~ 500), test (~ 100) Task: text2text-generation (5W1H → single-paragraph incident report)
Schema
input(string): 5W1H lines: What, When, Where, Who, How, Why, ContingencyActionstarget(string): One single-paragraph, neutral report (no line breaks)- file type: parquet dataset (training ready)
Languages
- English
License
- MIT
Intended use
Fine-tuning small instruction models for concise, structured incident reporting.
Limitations
- Synthetic/curated text; verify against your domain requirements.
Example for loading dataset (python)
from datasets import load_dataset
ds = load_dataset("zBotta/traffic-accidents-reports-5k")
print(ds)
print(ds["train"][0])
print(ds["eval"][0])
print(ds["test"][0])Citation
If you use this dataset, please cite:
@misc{accident_5k_dataset,
title = {Accident Reporting 5k rows (One-Paragraph)},
author = {zBotta, SamdGuizani},
year = {2025}
}