Hugging Face's logo

Datasets:
allenai
/
pixmo-clocks

Tasks:
Visual Question Answering
Modalities:
Tabular
Text
Formats:
parquet
Size:
100K - 1M
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
pixmo-clocks / README.md
chrisc36's picture
chrisc36
Update README.md
5adc2db verified
preview code
|
raw
history blame
3.29 kB
metadata
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 virtual watch faces and time annotations. The repo supplies the meta-data needed to build the data but does not directly contain the images, which are from facer.io.

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 image
  • watchface_name: The name of the watchface used
  • watch_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 11
  • minute_visible: The minute the watch should be set to, between 0 and 59, -1 means not visible
  • second_visible: The second the watch should be set to, between -1 and 59, -1 means not visible
  • text: A text string of the time

Generating Images

Generating the image requires setting the watch face to the correct time and then downloading the image from facer.io. 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.

License

This dataset is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.