Datasets:
add notebook
Browse files
README.md
CHANGED
@@ -20,6 +20,34 @@ tags:
|
|
20 |
- aeslc dataset but cleaned and keywords extracted to a new column
|
21 |
- an EDA website generated via pandas profiling [is on netlify here](https://aeslc-kw-train-eda.netlify.app/)
|
22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
## Citation
|
24 |
|
25 |
```
|
|
|
20 |
- aeslc dataset but cleaned and keywords extracted to a new column
|
21 |
- an EDA website generated via pandas profiling [is on netlify here](https://aeslc-kw-train-eda.netlify.app/)
|
22 |
|
23 |
+
```
|
24 |
+
DatasetDict({
|
25 |
+
train: Dataset({
|
26 |
+
features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
|
27 |
+
num_rows: 14436
|
28 |
+
})
|
29 |
+
test: Dataset({
|
30 |
+
features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
|
31 |
+
num_rows: 1906
|
32 |
+
})
|
33 |
+
validation: Dataset({
|
34 |
+
features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
|
35 |
+
num_rows: 1960
|
36 |
+
})
|
37 |
+
})
|
38 |
+
```
|
39 |
+
|
40 |
+
## Python usage
|
41 |
+
|
42 |
+
|
43 |
+
Basic example notebook [here](https://colab.research.google.com/gist/pszemraj/18742da8db4a99e57e95824eaead285a/scratchpad.ipynb).
|
44 |
+
|
45 |
+
```python
|
46 |
+
from datasets import load_dataset
|
47 |
+
|
48 |
+
dataset = load_dataset("postbot/aeslc_kw")
|
49 |
+
```
|
50 |
+
|
51 |
## Citation
|
52 |
|
53 |
```
|