TLDR: No, there are only 92 distinct towns. There are 506 Census Tracts.
You can run getattr(boston_dataset, "DESCR") to get the description of the dataset.
While it does not directly contain the information that you want, it does tell you:
This dataset was taken from the StatLib library which is
maintained at Carnegie Mellon University.
we created Windows API calls sequence of metamorphic malware. In our research, we have translated the families produced by each of the software into 8 main malware families: Trojan, Backdoor, Downloader, Worms, Spyware Adware, Dropper, Virus.
The NSynth dataset contains labelled audio samples from various instruments over a range of pitches. The data is prepared for use with TensorFlow and also available in JSON/WAV (metadata/audio) format. From the dataset description:
NSynth is an audio dataset containing 305,979 musical notes, each with
a unique pitch, timbre, and envelope. For 1,006 ...
Most telephone recording datasets are privately owned by parties who have access to such data like for example call-centers and tech-support companies etc. This data is subject to various privacy laws (which differ from one country to another), therefore it is tricky to find such data.
Nevertheless, the CallHome database and the CallFriend database -by ...
This dataset contains labeled and unlabeled legal contracts for contract element extraction. The labeled dataset POS tags as well as annotations for different contract elements. You can refer to the Reame section for more details.
I think this is probably what you are looking for Google-audiose-explosion. Also you might find other audio datasets that might fit into your search criteria under https://research.google.com/audioset/dataset/index.html by filtering using words like "bang" or "boom" etc.
I just came across this freesound-explosions-db , so maybe it can be a good ...
Audio datasets of call center recordings are hard to find as those are usually privately owned and subject to various privacy laws (which differ from one country to another). Unfortunately, it is unclear what are you trying to do with the data and consequently it is hard to give you accurate suggestions that fits your search.
Therefore, depending on your ...
You can get PM10 and other air pollution measurement data from multiple locations in the city of Zürich, Switzerland
The data comes either as
hourly, for the last 24 hours, updated every hour
daily, for the last 30 days, updated every day
daily, going back to 2012 (and also 1983-2011), updated ...
The News category dataset seems to fit your description.
This dataset contains around 200k news headlines from the year 2012 to
2018 obtained from HuffPost. The model trained on this dataset could
be used to identify tags for untracked news articles or to identify
the type of language used in different news articles. Each news headline has a ...
Some options for your use case:
Use university web storage (this is easy but often these sites go stale or dissapear)
Use public buckets from cloud provider (AWS, GCP). This often requires login, so it's not truly "open". Also, there are some costs associated to hosting data. This is also nice because users can use individual images (like an API), but ...
You could start with a benchmark using the MNIST dataset. There are many tutorials and articles written on training a CNN for digit recognition. You might also want to consider preprocessing your color-blindness charts input data (e.g. converting to grayscale, enhancing digit contrast).
Endgame Malware BEnchmark for Research
The EMBER dataset is a collection of features from PE files that serve as a benchmark dataset for researchers. The EMBER2017 dataset contained features from 1.1 million PE files scanned in or before 2017 and the EMBER2018 dataset contains features from 1 million PE files scanned in or before 2018. This repository makes ...
Loghub is a registry curated by LogPAI for server log datasets "freely available for research purposes". The data is available from Zenodo. The authors also suggest several alternative sources of log data. The only caveat is that the data is not perfectly open access: users are to request access from LogPAI by stating their name, affiliation, and intended ...