Updated the link to our Attachments documentation for the data rows tutorial.

Author: raphaeljafriLB

examples/basics/data_rows.ipynb

@@ -2,15 +2,13 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "premier-olympus",
    "metadata": {},
    "source": [
     "# Data rows"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "affecting-former",
    "metadata": {},
    "source": [
     "* Data rows are the items that are actually being labeled. We currently support the following:\n",
@@ -25,7 +23,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "posted-nation",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +32,6 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "beautiful-ready",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +44,6 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "vertical-stockholm",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,7 +65,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "legendary-harvard",
    "metadata": {},
    "source": [
     "* Set the following cell with your data to run this notebook"
@@ -79,7 +73,6 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "rural-fellow",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,7 +86,6 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "proof-detective",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -103,7 +95,6 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "selective-reconstruction",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -115,7 +106,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "registered-cause",
    "metadata": {},
    "source": [
     "### Read"
@@ -124,7 +114,6 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "extra-paris",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,7 +124,6 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "packed-going",
    "metadata": {},
    "outputs": [
     {
@@ -158,7 +146,6 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "above-vocabulary",
    "metadata": {},
    "outputs": [
     {
@@ -177,7 +164,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "successful-patch",
    "metadata": {},
    "source": [
     "### Create\n",
@@ -187,7 +173,6 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "medical-portuguese",
    "metadata": {},
    "outputs": [
     {
@@ -213,7 +198,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "helpful-lingerie",
    "metadata": {},
    "source": [
     "* Bulk create data rows (This is much faster than creating individual data rows)"
@@ -222,7 +206,6 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "round-perfume",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,7 +219,6 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "breeding-brother",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -251,7 +233,6 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "thrown-designation",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -264,7 +245,6 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "japanese-jefferson",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -280,7 +260,6 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "accessible-effort",
    "metadata": {},
    "outputs": [
     {
@@ -303,7 +282,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "interested-proxy",
    "metadata": {},
    "source": [
     "### Update"
@@ -312,7 +290,6 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "floral-elimination",
    "metadata": {},
    "outputs": [
     {
@@ -333,7 +310,6 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "collect-cosmetic",
    "metadata": {},
    "outputs": [
     {
@@ -352,13 +328,12 @@
     "# Attachments are visible for all projects connected to the data_row \n",
     "data_row.create_attachment(attachment_type=\"TEXT\", attachment_value=\"LABELERS WILL SEE THIS \")\n",
     "# See more information here:\n",
-    "# https://docs.labelbox.com/data-model/en/index-en#attachments\n",
+    "# https://docs.labelbox.com/reference/type-image\n",
     "# Note that attachment_value must always be a string (url to a video/image or a text value to display)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "explicit-morrison",
    "metadata": {},
    "source": [
     "### Delete"
@@ -367,7 +342,6 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "dental-banana",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -378,7 +352,6 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "binary-organic",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -389,7 +362,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -403,7 +376,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,