bug w/ hf_load_dataset

[DataStrategist]

Hi all! I'm Amit from R4ds :)

Anyway, was giving this repo a go, and trying to run the example on the readme, and hitting this bug:

> emotion <- hf_load_dataset(  "emotion",
+   split = "test",
+   as_tibble = TRUE,
+   label_name = "int2str"
+ )
Using custom data configuration default
Reusing dataset emotion (C:\Users\mexin\.cache\huggingface\datasets\emotion\default\0.0.0\348f63ca8e27b3713b6c04d723efe6d824a56fb3d1449794716c0f0296072705)
100%|██████████| 3/3 [00:00<00:00, 600.13it/s]
Using custom data configuration default
Reusing dataset emotion (C:\Users\mexin\.cache\huggingface\datasets\emotion\default\0.0.0\348f63ca8e27b3713b6c04d723efe6d824a56fb3d1449794716c0f0296072705)
Error in as.integer(hf_data$label) : 
  cannot coerce type 'environment' to vector of type 'integer'

Chased the error to here:

huggingfaceR/R/datasets.R

Line 65 in ccd66f1

hf_data <- tibble::tibble(reticulate::py$load_dataset("emotion", split = split)$to_pandas())

. However, restarting session cleared it right up. Maybe first-time use pains? Will continue to monitor it.

[jpcompartir]

Hey Amit, sorry we missed this - we've all had a pretty busy summer and are just now getting a bit of time to push the first release over the line. Have you been able to recreate the error?