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Merge remote-tracking branch 'origin/develop' into mno/AL-4397
2 parents 32fe56e + dbadecd commit 146471f

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‎examples/annotation_import/image.ipynb‎

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‎examples/annotation_import/text.ipynb‎

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},
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{
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"cell_type": "code",
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"id": "4d63074b-2379-48af-b9d6-2a66190f03c4",
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"metadata": {
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"id": "4d63074b-2379-48af-b9d6-2a66190f03c4",
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"colab": {
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"base_uri": "https://localhost:8080/"
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"id": "4d63074b-2379-48af-b9d6-2a66190f03c4"
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},
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"outputs": [
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{
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"text": [
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"\u001b[K |████████████████████████████████| 184 kB 5.2 MB/s \n",
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"\u001b[K |████████████████████████████████| 7.8 MB 45.4 MB/s \n",
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"\u001b[?25h Building wheel for pygeotile (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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"outputs": [],
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"source": [
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"!pip install -q 'labelbox[data]'"
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{
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"cell_type": "code",
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"id": "86003724-4807-4281-95c1-5284a6f9609f",
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"metadata": {
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"id": "86003724-4807-4281-95c1-5284a6f9609f"
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"id": "Z5ORHD1pZKt1"
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"id": "mrPJ1Ko0ZMdl"
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"outputs": []
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{
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"cell_type": "code",
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"source": [
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"########## Classification - Radio (with subclassifcations) ##########\n",
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"\n",
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"# Python annotation\n",
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"radio_annotation_nested = ClassificationAnnotation(\n",
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" name=\"radio_question_sub\", \n",
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" value=Radio(answer = ClassificationAnswer(name = \"first_radio_answer\")),\n",
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" classifications=[\n",
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" \tClassificationAnnotation(\n",
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" \tname=\"sub_radio_question\",\n",
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" \t\tvalue=Radio(answer=ClassificationAnswer(name=\"first_sub_radio_answer\"))\n",
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" )\n",
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" ]\n",
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")\n",
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"\n",
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"########## Classification - Radio (with subclassifcations) is only suppported with NDJSON tools ##########\n",
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"\n",
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"# NDJSON\n",
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"radio_annotation_ndjson_with_subclass = {\n",
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"id": "vt7QvfV7ZPAF"
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"id": "45BDh768ZYsH"
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"base_uri": "https://localhost:8080/"
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"id": "Ak-jnABK3OPH",
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"outputs": [
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"<DataRow {\n",
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" \"created_at\": \"2022-12-22 20:59:28+00:00\",\n",
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" \"created_at\": \"2023-01-30 18:06:23+00:00\",\n",
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" \"external_id\": null,\n",
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" \"global_key\": \"TEST-ID-190217471490724126308456269288159181446d\",\n",
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" \"global_key\": \"TEST-ID-321668750509639104503407808903937477958d\",\n",
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" \"media_attributes\": {},\n",
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" \"row_data\": \"https://storage.googleapis.com/labelbox-sample-datasets/nlp/lorem-ipsum.txt\",\n",
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" \"uid\": \"clbzkhbxy18ws07ysdumbbgnq\",\n",
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" \"updated_at\": \"2022-12-22 20:59:28+00:00\"\n",
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" \"uid\": \"cldj4gyf60fy207xh3z1y2g1h\",\n",
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" \"updated_at\": \"2023-01-30 18:06:23+00:00\"\n",
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"}>\n",
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"clbzkhbxy18ws07ysdumbbgnq\n"
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"cldj4gyf60fy207xh3z1y2g1h\n"
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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 checklist annotation [above](https://colab.research.google.com/drive/1mXfgydXxVR2OMAjJo1nj2EU9QQyVhW90#scrollTo=45BDh768ZYsH&line=1&uniqifier=1), we provided the `name` as `checklist_question`. Now, when we setup our ontology, we must ensure that the name of my classification tool is also `checklist_question`. 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 checklist annotation above, we provided the `name` as `checklist_question`. Now, when we setup our ontology, we must ensure that the name of my classification tool is also `checklist_question`. The same alignment must hold true for the other tools and classifications we create in our ontology.\n",
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"[Documentation for reference ](https://docs.labelbox.com/reference/import-text-annotations)"
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],
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"id": "_wWxYFoDTsar"
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"id": "044e9194-d21d-403e-b64c-047c1063b0fe",
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"colab": {
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"base_uri": "https://localhost:8080/"
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"outputId": "153857ae-455d-4c7c-fb36-40fc16dc0819"
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"Batch: <Batch {\n",
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" \"consensus_settings_json\": \"{\\\"numberOfLabels\\\":1,\\\"coveragePercentage\\\":0}\",\n",
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" \"created_at\": \"2022-12-22 20:59:51+00:00\",\n",
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" \"created_at\": \"2023-01-30 18:06:28+00:00\",\n",
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" \"name\": \"first-batch-text-demo\",\n",
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" \"uid\": \"94297660-823b-11ed-8039-c1b641c04d88\",\n",
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" \"updated_at\": \"2022-12-22 20:59:51+00:00\"\n",
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" \"uid\": \"d14be9f0-a0c8-11ed-a7e5-f9da6146996d\",\n",
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"}>\n"
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}
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{
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"cell_type": "markdown",
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"source": [
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"#### Python Annotations"
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"#### Python annotations"
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"id": "7IgSl5SxcO4R"
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" named_entitity_annotation, \n",
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" radio_annotation_nested \n",
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" text_annotation\n",
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"id": "ubbraAmo2_fe"
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