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Remove links that pointed to copy of the file
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‎examples/annotation_import/video.ipynb‎

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},
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{
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{
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"text": [
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m185.5/185.5 KB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m26.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/185.5 KB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m184.3/185.5 KB\u001b[0m \u001b[31m11.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m185.5/185.5 KB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Building wheel for pygeotile (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m46.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Building wheel for pygeotile (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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]
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}
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],
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},
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{
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"metadata": {
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"id": "affecting-myanmar"
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},
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{
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"metadata": {
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"id": "suburban-crowd"
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},
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{
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"metadata": {
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"outputs": [
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"text": [
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"clcj3stei2y2c07zx2qxmfa7t\n",
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"cldj4sy3t1sq8071acsro5udf\n",
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"<DataRow {\n",
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" \"created_at\": \"2023-01-05 13:07:54+00:00\",\n",
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" \"created_at\": \"2023-01-30 18:15:42+00:00\",\n",
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" \"external_id\": null,\n",
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" \"global_key\": \"8b1bc6e0-7c79-43c0-b8a0-b613d555c727\",\n",
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" \"global_key\": \"da6c97bf-7b80-42e4-a8d5-f355a140991c\",\n",
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" \"media_attributes\": {},\n",
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" \"metadata\": [],\n",
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" \"metadata_fields\": [],\n",
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" \"row_data\": \"https://storage.googleapis.com/labelbox-datasets/video-sample-data/sample-video-2.mp4\",\n",
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"}>\n"
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]
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}
@@ -506,7 +506,7 @@
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"### Step 2: Create/select an ontology\n",
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"Your project should have the correct ontology setup with all the tools and classifications supported for your annotations, and the tool names and classification instructions should match the `name`/`instructions` fields in your annotations to ensure the correct feature schemas are matched.\n",
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"\n",
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"For example, when we create the bounding box annotation [above](https://colab.research.google.com/drive/1S3HBa10jwfFFNB71Uid-crUDdhfEGnXh#scrollTo=suburban-crowd&line=10&uniqifier=1), we provided the `name` as `bbox_video`. Now, when we setup our ontology, we must ensure that the name of my bounding box tool is also `bbox_video`. The same alignment must hold true for the other tools and classifications we create in our ontology.\n",
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"For example, when we create the bounding box annotation above, we provided the `name` as `bbox_video`. Now, when we setup our ontology, we must ensure that the name of my bounding box tool is also `bbox_video`. The same alignment must hold true for the other tools and classifications we create in our ontology.\n",
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"\n",
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"\n",
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"[Documentation for reference ](https://docs.labelbox.com/reference/import-text-annotations)"
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},
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{
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"metadata": {
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"id": "ZCjNJBTSKONt"
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},
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"id": "wPLSHXrQPfHh"
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},
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"source": [
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"#### NDJSON annotations\n",
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"Here we create the complete `label_ndjson` payload of annotations. There is one annotation for each *reference to an annotation* that we created [above](https://colab.research.google.com/drive/1S3HBa10jwfFFNB71Uid-crUDdhfEGnXh#scrollTo=kLT9P-WYk4Nr&line=1&uniqifier=1)."
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"Here we create the complete `label_ndjson` payload of annotations. There is one annotation for each *reference to an annotation* that we created above."
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],
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"id": "ew0UVWtGZzTO"
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},
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"outputId": "5649b763-eea5-4c20-883e-4c372c91dddf"
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"outputId": "40071166-90a0-4f5d-b16e-1f5f02a0f378"
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"id": "ZNQAjFculCTl",
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"output_type": "execute_result",
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