Datasets:
license: apache-2.0
dataset_info:
features:
- name: example_id
dtype: string
- name: watchface_id
dtype: string
- name: watchface_name
dtype: string
- name: watch_time
dtype: string
- name: time_format
dtype: string
- name: shows_seconds
dtype: bool
- name: hour_visible
dtype: int32
- name: minute_visible
dtype: int32
- name: second_visible
dtype: int32
- name: text
dtype: string
splits:
- name: train
num_bytes: 130732460
num_examples: 800269
- name: validation
num_bytes: 4180551
num_examples: 25600
download_size: 69712029
dataset_size: 134913011
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
PixMo-Clocks
PixMo-Clocks is a collection of synthetic watch faces and time annotations. The data was created using facer.io. The repo supplies the meta-data needed to generate the data but does not directly contain the images
PixMo-Clocks is a part of the PixMo dataset collection and was used to train the Molmo family of models
Quick links:
Loading
clocks_dataset = datasets.load_dataset("allenai/pixmo-clocks")
Data Format
The data includes:
watchface_id
: The watchface id to use to generate the imagewatchface_name
: The name of the watchface usedwatch_time
: The time the watch was set to, not all the details of the time will be visible on the watchface, so the the following two fields are needed.time_format
: The format of the watch, can be:"No time visible
": The time cannot be read at all, we still include these examples as no-answer training examples"Without AM/PM
": AM/PM cannot be determined"With AM/PM
": AM/PM can be determined (either because the watch shows military time, or shows a AM/PM indicator somehow)
shows_seconds
: Whether seconds are shown
For convenience, this dataset includes a few fields derived from this data about what is visible on the watch:
hour_visible
: The hour visible on the watch, between 0 and 23, -1 means not visible, 0 is 12:00am. If AM/PM cannot be determined the hour will be between 0 and 11minute_visible
: The minute the watch should be set to, between 0 and 59, -1 means not visiblesecond_visible
: The second the watch should be set to, between -1 and 59, -1 means not visibletext
: A text string of the time
Generating Images
Generating the image requires running a script to set the watch face to the correct time. We will include a script to generate the images as part of our code release.
Splits
The data is divided into validation and train splits. These splits are unofficial
because we do not use this data for evaluation anyway. However,
they reflect what was used when training the Molmo models, which were only trained on the train split.