The attachment of this issue is an ipynb exported from this Codepod repo. It has some format issues incompatible with NBFormat 4.0:

1. #/metadata has no property called name
2. id is a mandatory field for each cell under #/cells But it's missing for all cells exported. id is not a field in metadata of a cell.
3. All cells' output_type is display_data. This is not right. There are four types: execute_result, display_data, error (see below), and stream. display_data has no property called execute_count but execute_result has. In many cases in the attached example ipynb, the output should be steam? For example, this cell

       {
     "cell_type": "code",
     "execution_count": 1,
     "metadata": {
       "id": "w1o7rfvk37nkk2p8105s",
       "geoScore": 0.0021
     },
     "source": [
       "'''\n",
       "CodePod Scope structure: \n",
       "'''\n",
       "1+1\n"
     ],
     "outputs": [
       {
         "output_type": "display_data",
         "data": {
           "text/plain": [
             "2\n"
           ]
         }
       }
     ]
   },

4. Erroneous cells are handled completely wrong. One of the pods contains error and traceback info. But the corresponding json is incorrectly as

   {
         "cell_type": "code",
         "execution_count": 3,
         "metadata": {
           "id": "xs1x514pd2o089p0uzub",
           "geoScore": 0.0012
         },
         "source": [
           "'''\n",
           "CodePod Scope structure: \n",
           "'''\n",
           "foo(4)\n"
         ],
         "outputs": [
           {
             "output_type": "display_data",
             "data": {
               "text/plain": [
                 "error\n"
               ]
             }
           }
         ]
       },

where the outputs/output_type should have been error, and data is NOT an allowed field for an error. Required fields, expect output_type are all missing. See specs here.
5. What is the geoScore property for each cell?
6. Why is a scope and the first pod under it mixed together? Like this:
json { "cell_type": "code", "execution_count": 0, "metadata": { "id": "yla4ktyffvgxenaivved", "geoScore": 0.0011 }, "source": [ "'''\n", "CodePod Scope structure: Another test scope\n", "'''\n", "def foo(x):\n", " return x * x\n" ], "outputs": [] },
The scope should have become one separate cell of raw or even markdown type. In Markdown, the header level (#, ##, ###, ...) should be proportional to the scope level.
7. And, can we beautify the JSON output?