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The TensorFlow Datasets Authors
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Automated documentation update.
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‎docs/catalog/_toc.yaml‎

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title: asimov_multimodal_auto_val
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- path: /datasets/catalog/asimov_multimodal_manual_val
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title: asimov_multimodal_manual_val
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- path: /datasets/catalog/asimov_v2_constraints_with_rationale
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status: nightly
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title: asimov_v2_constraints_with_rationale
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- path: /datasets/catalog/asimov_v2_constraints_without_rationale
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status: nightly
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title: asimov_v2_constraints_without_rationale
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- path: /datasets/catalog/asimov_v2_injuries
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status: nightly
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title: asimov_v2_injuries
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- path: /datasets/catalog/asimov_v2_videos
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status: nightly
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title: asimov_v2_videos
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- path: /datasets/catalog/asu_table_top_converted_externally_to_rlds
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title: asu_table_top_converted_externally_to_rlds
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- path: /datasets/catalog/austin_buds_dataset_converted_externally_to_rlds

‎docs/catalog/asimov_v2_constraints_with_rationale.md‎

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<div itemscope itemtype="http://schema.org/Dataset">
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<div itemscope itemprop="includedInDataCatalog" itemtype="http://schema.org/DataCatalog">
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<meta itemprop="name" content="TensorFlow Datasets" />
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</div>
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<meta itemprop="name" content="asimov_v2_constraints_with_rationale" />
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<meta itemprop="description" content="Dataset to evaluate the ability to reason and adhere to physical safety constraints imposed by embodiment limitations. Rationale for the answer needs to be provided.&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;asimov_v2_constraints_with_rationale&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10; print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;&lt;img src=&quot;https://storage.googleapis.com/tfds-data/visualization/fig/asimov_v2_constraints_with_rationale-0.1.0.png&quot; alt=&quot;Visualization&quot; width=&quot;500px&quot;&gt;&#10;&#10;" />
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<meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/asimov_v2_constraints_with_rationale" />
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<meta itemprop="sameAs" content="https://asimov-benchmark.github.io/v2/" />
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<meta itemprop="citation" content="" />
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</div>
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# `asimov_v2_constraints_with_rationale`
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Note: This dataset was added recently and is only available in our
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`tfds-nightly` package
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<span class="material-icons" title="Available only in the tfds-nightly package">nights_stay</span>.
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* **Description**:
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Dataset to evaluate the ability to reason and adhere to physical safety
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constraints imposed by embodiment limitations. Rationale for the answer needs to
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be provided.
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* **Homepage**:
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[https://asimov-benchmark.github.io/v2/](https://asimov-benchmark.github.io/v2/)
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* **Source code**:
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[`tfds.robotics.asimov.AsimovV2ConstraintsWithRationale`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/robotics/asimov/asimov_v2.py)
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* **Versions**:
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* **`0.1.0`** (default): Initial release.
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* **Download size**: `Unknown size`
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* **Dataset size**: `6.78 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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Yes
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* **Splits**:
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Split | Examples
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:------ | -------:
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`'val'` | 164
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* **Feature structure**:
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```python
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FeaturesDict({
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'image': Image(shape=(None, None, 3), dtype=uint8),
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'non_violating_objects_bounding_boxes': Text(shape=(), dtype=string),
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'prompt': Text(shape=(), dtype=string),
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'violating_objects_bounding_boxes': Text(shape=(), dtype=string),
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})
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```
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* **Feature documentation**:
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Feature | Class | Shape | Dtype | Description
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:----------------------------------- | :----------- | :-------------- | :----- | :----------
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| FeaturesDict | | |
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image | Image | (None, None, 3) | uint8 |
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non_violating_objects_bounding_boxes | Text | | string |
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prompt | Text | | string |
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violating_objects_bounding_boxes | Text | | string |
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* **Supervised keys** (See
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[`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
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`None`
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* **Figure**
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([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):
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<img src="https://storage.googleapis.com/tfds-data/visualization/fig/asimov_v2_constraints_with_rationale-0.1.0.png" alt="Visualization" width="500px">
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* **Examples**
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([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):
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<!-- mdformat off(HTML should not be auto-formatted) -->
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{% framebox %}
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<button id="displaydataframe">Display examples...</button>
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<div id="dataframecontent" style="overflow-x:auto"></div>
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<script>
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const url = "https://storage.googleapis.com/tfds-data/visualization/dataframe/asimov_v2_constraints_with_rationale-0.1.0.html";
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const dataButton = document.getElementById('displaydataframe');
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dataButton.addEventListener('click', async () => {
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// Disable the button after clicking (dataframe loaded only once).
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dataButton.disabled = true;
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const contentPane = document.getElementById('dataframecontent');
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try {
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const response = await fetch(url);
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// Error response codes don't throw an error, so force an error to show
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// the error message.
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if (!response.ok) throw Error(response.statusText);
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const data = await response.text();
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contentPane.innerHTML = data;
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} catch (e) {
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contentPane.innerHTML =
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'Error loading examples. If the error persist, please open '
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+ 'a new issue.';
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}
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});
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</script>
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{% endframebox %}
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<!-- mdformat on -->
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* **Citation**:
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‎docs/catalog/asimov_v2_constraints_without_rationale.md‎

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<div itemscope itemtype="http://schema.org/Dataset">
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<div itemscope itemprop="includedInDataCatalog" itemtype="http://schema.org/DataCatalog">
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<meta itemprop="name" content="TensorFlow Datasets" />
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</div>
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<meta itemprop="name" content="asimov_v2_constraints_without_rationale" />
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<meta itemprop="description" content="Dataset to evaluate the ability to reason and adhere to physical safety constraints imposed by embodiment limitations. No rationale for the answer needs to be provided.&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;asimov_v2_constraints_without_rationale&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10; print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;&lt;img src=&quot;https://storage.googleapis.com/tfds-data/visualization/fig/asimov_v2_constraints_without_rationale-0.1.0.png&quot; alt=&quot;Visualization&quot; width=&quot;500px&quot;&gt;&#10;&#10;" />
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<meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/asimov_v2_constraints_without_rationale" />
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<meta itemprop="sameAs" content="https://asimov-benchmark.github.io/v2/" />
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<meta itemprop="citation" content="" />
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</div>
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# `asimov_v2_constraints_without_rationale`
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Note: This dataset was added recently and is only available in our
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`tfds-nightly` package
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<span class="material-icons" title="Available only in the tfds-nightly package">nights_stay</span>.
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* **Description**:
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Dataset to evaluate the ability to reason and adhere to physical safety
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constraints imposed by embodiment limitations. No rationale for the answer needs
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to be provided.
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* **Homepage**:
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[https://asimov-benchmark.github.io/v2/](https://asimov-benchmark.github.io/v2/)
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* **Source code**:
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[`tfds.robotics.asimov.AsimovV2ConstraintsWithoutRationale`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/robotics/asimov/asimov_v2.py)
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* **Versions**:
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* **`0.1.0`** (default): Initial release.
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* **Download size**: `Unknown size`
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* **Dataset size**: `6.77 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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Yes
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* **Splits**:
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Split | Examples
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:------ | -------:
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`'val'` | 164
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* **Feature structure**:
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```python
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FeaturesDict({
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'image': Image(shape=(None, None, 3), dtype=uint8),
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'non_violating_objects_bounding_boxes': Text(shape=(), dtype=string),
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'prompt': Text(shape=(), dtype=string),
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'violating_objects_bounding_boxes': Text(shape=(), dtype=string),
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})
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```
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* **Feature documentation**:
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Feature | Class | Shape | Dtype | Description
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:----------------------------------- | :----------- | :-------------- | :----- | :----------
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| FeaturesDict | | |
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image | Image | (None, None, 3) | uint8 |
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non_violating_objects_bounding_boxes | Text | | string |
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prompt | Text | | string |
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violating_objects_bounding_boxes | Text | | string |
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* **Supervised keys** (See
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[`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
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`None`
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* **Figure**
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([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):
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<img src="https://storage.googleapis.com/tfds-data/visualization/fig/asimov_v2_constraints_without_rationale-0.1.0.png" alt="Visualization" width="500px">
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* **Examples**
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([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):
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<!-- mdformat off(HTML should not be auto-formatted) -->
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{% framebox %}
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<button id="displaydataframe">Display examples...</button>
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<div id="dataframecontent" style="overflow-x:auto"></div>
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<script>
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const url = "https://storage.googleapis.com/tfds-data/visualization/dataframe/asimov_v2_constraints_without_rationale-0.1.0.html";
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const dataButton = document.getElementById('displaydataframe');
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dataButton.addEventListener('click', async () => {
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// Disable the button after clicking (dataframe loaded only once).
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dataButton.disabled = true;
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const contentPane = document.getElementById('dataframecontent');
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try {
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const response = await fetch(url);
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// Error response codes don't throw an error, so force an error to show
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// the error message.
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if (!response.ok) throw Error(response.statusText);
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const data = await response.text();
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contentPane.innerHTML = data;
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} catch (e) {
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contentPane.innerHTML =
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'Error loading examples. If the error persist, please open '
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+ 'a new issue.';
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}
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});
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</script>
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{% endframebox %}
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<!-- mdformat on -->
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* **Citation**:
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‎docs/catalog/asimov_v2_injuries.md‎

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<div itemscope itemtype="http://schema.org/Dataset">
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<div itemscope itemprop="includedInDataCatalog" itemtype="http://schema.org/DataCatalog">
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<meta itemprop="name" content="TensorFlow Datasets" />
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</div>
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<meta itemprop="name" content="asimov_v2_injuries" />
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<meta itemprop="description" content="Situations generated from real hospital injury reports.&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;asimov_v2_injuries&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10; print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;" />
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<meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/asimov_v2_injuries" />
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<meta itemprop="sameAs" content="https://asimov-benchmark.github.io/v2/" />
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<meta itemprop="citation" content="" />
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</div>
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# `asimov_v2_injuries`
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Note: This dataset was added recently and is only available in our
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`tfds-nightly` package
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<span class="material-icons" title="Available only in the tfds-nightly package">nights_stay</span>.
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* **Description**:
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Situations generated from real hospital injury reports.
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* **Homepage**:
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[https://asimov-benchmark.github.io/v2/](https://asimov-benchmark.github.io/v2/)
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* **Source code**:
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[`tfds.robotics.asimov.AsimovV2Injuries`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/robotics/asimov/asimov_v2.py)
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* **Versions**:
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* **`0.1.0`** (default): Initial release.
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* **Download size**: `Unknown size`
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* **Dataset size**: `2.05 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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Yes
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* **Splits**:
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Split | Examples
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:------ | -------:
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`'val'` | 319
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* **Feature structure**:
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```python
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FeaturesDict({
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'answer': Text(shape=(), dtype=string),
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'prompt': Text(shape=(), dtype=string),
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})
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```
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* **Feature documentation**:
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Feature | Class | Shape | Dtype | Description
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:------ | :----------- | :---- | :----- | :----------
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| FeaturesDict | | |
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answer | Text | | string |
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prompt | Text | | string |
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* **Supervised keys** (See
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[`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
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`None`
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* **Figure**
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([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):
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Not supported.
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* **Examples**
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([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):
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<!-- mdformat off(HTML should not be auto-formatted) -->
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{% framebox %}
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<button id="displaydataframe">Display examples...</button>
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<div id="dataframecontent" style="overflow-x:auto"></div>
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<script>
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const url = "https://storage.googleapis.com/tfds-data/visualization/dataframe/asimov_v2_injuries-0.1.0.html";
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const dataButton = document.getElementById('displaydataframe');
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dataButton.addEventListener('click', async () => {
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// Disable the button after clicking (dataframe loaded only once).
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dataButton.disabled = true;
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const contentPane = document.getElementById('dataframecontent');
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try {
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const response = await fetch(url);
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// Error response codes don't throw an error, so force an error to show
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// the error message.
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if (!response.ok) throw Error(response.statusText);
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const data = await response.text();
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contentPane.innerHTML = data;
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} catch (e) {
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contentPane.innerHTML =
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'Error loading examples. If the error persist, please open '
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+ 'a new issue.';
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}
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});
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</script>
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{% endframebox %}
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<!-- mdformat on -->
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* **Citation**:
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