dataset.json

{
  "http_interactions": [
    {
      "recorded_at": "2023-10-05T20:35:32",
      "request": {
        "body": {
          "encoding": "utf-8",
          "string": ""
        },
        "headers": {
          "Accept": [
            "*/*"
          ],
          "Accept-Encoding": [
            "gzip, deflate, br"
          ],
          "Authorization": [
            "JWT eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE2OTcxNDI5MDMsImlhdCI6MTY5NjUzODEwMywibmJmIjoxNjk2NTM4MTAzLCJpZGVudGl0eSI6MX0.hHABEu1rQp90CjzyOR4_lNzu9NFmGMYqo8tTE3tnlDA"
          ],
          "Connection": [
            "keep-alive"
          ],
          "User-Agent": [
            "python-requests/2.26.0"
          ]
        },
        "method": "GET",
        "uri": "https://neuroscout.org/api/datasets"
      },
      "response": {
        "body": {
          "base64_string": "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",
          "encoding": "utf-8",
          "string": ""
        },
        "headers": {
          "Access-Control-Allow-Origin": [
            "*"
          ],
          "Connection": [
            "keep-alive"
          ],
          "Content-Encoding": [
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