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The game of chasing/flashing space invaders is a whole incredible world.

There are persons called "re-activateur" who rebuild the mosaïcs if they are damaged !

With friends we made an online escape game to praise the game: https://grooptown-tech.gitlab.io/escape-game-space-invaders/ Hope you enjoy :-)

And for those interested, there is a whole community on discord: https://discord.gg/UNpGhQED


I was excited to join the discord, but it looks like everything is in French!


Looks really nice, but I tried it:

  import sketch
  import pandas as pd

  data_pd = pd.read_csv("input.csv", sep=';')
  print(data_pd)
  print(data_pd.sketch.ask("Is there any PII in this dataset ?"))
  print(data_pd.sketch.ask("Which columns are integer type?"))

With this input.csv:

  name;age;address;phone
  Bob;34;106 DOYERS ST. 8 ARLINGTON DR. 599 NW BAY BLVD;1-541-754-3010
  Anna;34;694 Short Street, Austin, Texas;001-541-754-3010

And I have no results (and no runtime error as well) :-( Here is the console output:

     name  age                                         address             phone
  0   Bob   34  106 DOYERS ST. 8 ARLINGTON DR. 599 NW BAY BLVD    1-541-754-3010
  1  Anna   34                 694 Short Street, Austin, Texas  001-541-754-3010
  <IPython.core.display.HTML object>
  None
  <IPython.core.display.HTML object>
  None
Am I missing something ? The "ask" interface doesn't seems to need external OpenAI credentials right ?


to get the strings of the results back out, add the kwarg `call_display=False` to the functions.

so: ``` print(data_pd.sketch.ask("Is there any PII in this dataset ?", call_display=False)) ``` should work for you.

Right now it by default assumes its in an ipython context that can display HTML objects.


Ah yes it displayed the string, thanks!

But the result looks wrong with this input:

     age                                         address
  0   34  106 DOYERS ST. 8 ARLINGTON DR. 599 NW BAY BLVD
  1   34                 694 Short Street, Austin, Texas
It says:

  No, there is no PII (personally identifiable information) in this dataset. The only columns are index, age, and address, none of which contain any sensitive information.

Sometimes, it seems to work with phone number though. Here: age address phone 0 34 106 DOYERS ST. 8 ARLINGTON DR. 599 NW BAY BLVD 1-541-754-3010 1 34 694 Short Street, Austin, Texas 001-541-754-3010

  Yes, this dataset contains PII (personally identifiable information) such as age, address, and phone number.
I retried:

     pirce                                         address             phone
  0    123  106 DOYERS ST. 8 ARLINGTON DR. 599 NW BAY BLVD    1-541-754-3010
  1  43543                 694 Short Street, Austin, Texas  001-541-754-3010

  No, there is no personally identifiable information (PII) in this dataset. The columns contain only generic information such as index, price, address, and phone number. None of these columns contain any information that could be used to identify an individual.
Which is wrong. Is there explanation ?



Nice one: Machine Learning Should have been called Skynet


It sounds a great solution also for SEO optimisation. Hidden comments won't be indexed or badly indexed, right ? And generally, we don't want texts of comments to spoil/rot too much the words indexed in the article. However sometimes we might want to let some comments, especially the most appreciated, it should give meaning to the text above. So maybe you could add "leave the best 2 or 3 comments below the article"


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