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Merge pull request #901 from Labelbox/ovalle15-patch-11
Ontology updates ( Instructions --> Name)
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‎examples/prediction_upload/image_predictions.ipynb‎

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"!pip install -q 'labelbox[data]'"
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],
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"metadata": {
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"id": "cm8xMaLbGb7v"
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"id": "cm8xMaLbGb7v",
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"outputId": "7c03c878-a503-4729-e97b-89dcfd0fc2be",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count": null,
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"outputs": []
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m187.7/187.7 KB\u001b[0m \u001b[31m4.6 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[31m43.3 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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]
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}
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]
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},
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{
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"cell_type": "code",
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"metadata": {
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"id": "NIq-6M9kHKSs"
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"metadata": {
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"metadata": {
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"metadata": {
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"metadata": {
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"metadata": {
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"id": "UelSiWN2z9Tg"
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"metadata": {
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{
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "9f4d0970-d26e-438b-da20-8d09d8b3b665"
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"outputId": "83945c20-debc-484c-a3c8-79c46a2687dc"
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},
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"execution_count": 14,
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"outputs": [
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{
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"name": "stdout",
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"text": [
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"<DataRow {\n",
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" \"created_at\": \"2023-02-08 15:34:40+00:00\",\n",
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" \"created_at\": \"2023-02-10 14:52:01+00:00\",\n",
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" \"external_id\": null,\n",
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" \"global_key\": \"19bdf9f3-fe33-40b5-aa70-8e13dd2896ca\",\n",
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" \"global_key\": \"2830605d-dc77-4b34-ba7f-ad1a6ef76d72\",\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/image_sample_data/2560px-Kitano_Street_Kobe01s5s4110.jpeg\",\n",
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" \"uid\": \"cldvu0iew12rs07v50oys1y4o\",\n",
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" \"updated_at\": \"2023-02-08 15:34:40+00:00\"\n",
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" \"uid\": \"cldyndd996b3u07zx7560b4v9\",\n",
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" \"updated_at\": \"2023-02-10 14:52:01+00:00\"\n",
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"}>\n"
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]
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}
@@ -589,33 +604,33 @@
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" classifications=[ # List of Classification objects\n",
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" lb.Classification( # Radio classification given the name \"text\" with two options: \"first_radio_answer\" and \"second_radio_answer\"\n",
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" class_type=lb.Classification.Type.RADIO,\n",
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" instructions=\"radio_question\", \n",
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" name=\"radio_question\", \n",
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" options=[\n",
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" lb.Option(value=\"first_radio_answer\"),\n",
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" lb.Option(value=\"second_radio_answer\")\n",
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" ]\n",
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" ),\n",
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" lb.Classification( # Checklist classification given the name \"text\" with two options: \"first_checklist_answer\" and \"second_checklist_answer\"\n",
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" class_type=lb.Classification.Type.CHECKLIST,\n",
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" instructions=\"checklist_question\", \n",
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" name=\"checklist_question\", \n",
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" options=[\n",
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" lb.Option(value=\"first_checklist_answer\"),\n",
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" lb.Option(value=\"second_checklist_answer\")\n",
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" ]\n",
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" ), \n",
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" lb.Classification( # Text classification given the name \"text\"\n",
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" class_type=lb.Classification.Type.TEXT,\n",
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" instructions=\"free_text\"\n",
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" name=\"free_text\"\n",
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" ),\n",
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" lb.Classification(\n",
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" class_type=lb.Classification.Type.RADIO,\n",
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" instructions=\"nested_radio_question\",\n",
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" name=\"nested_radio_question\",\n",
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" options=[\n",
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" lb.Option(\"first_radio_answer\",\n",
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" options=[\n",
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" lb.Classification(\n",
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" class_type=lb.Classification.Type.RADIO,\n",
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" instructions=\"sub_radio_question\",\n",
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" name=\"sub_radio_question\",\n",
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" options=[lb.Option(\"first_sub_radio_answer\")]\n",
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" )\n",
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" ]\n",
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" ),\n",
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" lb.Classification(\n",
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" class_type=lb.Classification.Type.CHECKLIST,\n",
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" instructions=\"nested_checklist_question\",\n",
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" name=\"nested_checklist_question\",\n",
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" options=[\n",
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" lb.Option(\"first_checklist_answer\",\n",
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" options=[\n",
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" lb.Classification(\n",
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" class_type=lb.Classification.Type.CHECKLIST,\n",
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" instructions=\"sub_checklist_question\", \n",
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" name=\"sub_checklist_question\", \n",
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" options=[lb.Option(\"first_sub_checklist_answer\")]\n",
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" )\n",
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" ]\n",
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" classifications=[\n",
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" lb.Classification(\n",
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" class_type=lb.Classification.Type.RADIO,\n",
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" instructions=\"sub_radio_question\",\n",
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" name=\"sub_radio_question\",\n",
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" options=[\n",
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" lb.Option(value=\"first_sub_radio_answer\")\n",
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" ]\n",
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"metadata": {
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"id": "Kt4XWWqgIiWk"
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"colab": {
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"data": {
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"text/plain": [
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"<Batch ID: 2374e520-a7c6-11ed-8123-cf5deef7e8cf>"
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"<Batch ID: 865e8ff0-a952-11ed-b4e7-81bd51991e76>"
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