The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'check_flagged_words_criteria', 'check_stop_word_ratio_criteria', 'check_char_repetition_criteria'})
This happened while the json dataset builder was generating data using
hf://datasets/CarperAI/pile-v2-small-filtered/data/CodePileReddit2019/data.json (at revision e2f37e95cc5eb38359b6aefc2cbf98a50fd1b7e4)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
text: string
meta: string
id: int64
check_char_repetition_criteria: double
check_flagged_words_criteria: double
check_stop_word_ratio_criteria: double
to
{'id': Value(dtype='string', id=None), 'text': Value(dtype='string', id=None), 'meta': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'check_flagged_words_criteria', 'check_stop_word_ratio_criteria', 'check_char_repetition_criteria'})
This happened while the json dataset builder was generating data using
hf://datasets/CarperAI/pile-v2-small-filtered/data/CodePileReddit2019/data.json (at revision e2f37e95cc5eb38359b6aefc2cbf98a50fd1b7e4)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | text string | meta string |
|---|---|---|
97090 | """
## Binary Classification using Graduate Admission Dataset
This notebook compares performance of various Machine Learning classifiers on the "Graduate Admission" data. I'm still just a naive student implementing Machine Learning techniques. You're most welcome to suggest me edits on this kernel, I am happy to learn... | {'source': 'AI4Code', 'id': 'b24cf5394d60f5'} |
116041 | """
#### this notebook is part of the documentation on my HPA approach
-> main notebook: https://www.kaggle.com/philipjamessullivan/0-hpa-approach-summary
## 7: network training
-> https://www.kaggle.com/philipjamessullivan/7-train-effnetb0-version-a-part-1
-> https://www.kaggle.com/philipjamessulliva... | {'source': 'AI4Code', 'id': 'd5668563d2cdd3'} |
37319 | """
* V14: train with tri grams and generate new vocab, num feat = 15000
"""
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import num... | {'source': 'AI4Code', 'id': '44b1ea84dff48e'} |
48500 | """
# NGBoost やってみたメモ
* modelのチューニングはきちんとやっていません。なのでどちらが性能がいいかはわかりませんが、えいやっと使った感触ではこれくらいのデータなら遜色なかったです。
* 分布が算出できるのは使いどころがあるかもですね。
"""
!pip install ngboost
# basic libraries
import pandas as pd
import numpy as np
import numpy.random as rd
import gc
import multiprocessing as mp
import os
import sys
import pickle
from ... | {'source': 'AI4Code', 'id': '5947bd9ad5be6f'} |
106369 | """
## Attention
I'm not good at English. If you find a mistake, let me know, please.
## 0. Abstract
Interestingly, it's a very interesting phenomenon that global transformation by a the Moon's tide stress seems to be a trigger of occurrence for a disastrous earthquake (M>=5.5).
It is found out that some statistica... | {'source': 'AI4Code', 'id': 'c367d886e07c8d'} |
124491 | """
<div align='center'><font size="5" color='#353B47'>A Notebook dedicated to Stacking/Ensemble methods</font></div>
<div align='center'><font size="4" color="#353B47">Unity is strength</font></div>
<br>
<hr>
"""
"""
In this notebook, i'm going to cover various Prediction Averaging/Blending Techniques:
1. Simple Aver... | {'source': 'AI4Code', 'id': 'e4f4a0ec2c64df'} |
21198 | from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn import linear_model
from sklearn.metrics import classification_report
from sklearn.metrics import ... | {'source': 'AI4Code', 'id': '26e50916853f51'} |
11111 | """
Used methods:
* Convolutional Neural Network
* Data Augmentation
"""
"""
**Scientists want an automatic system to recognize whale species when monitoring their activities with a surveillance system. Thus, in this competition, numerous pictures of whales’ tales are given to identify whales species.
In the train se... | {'source': 'AI4Code', 'id': '14691788621618'} |
85257 | """
To enable autocomplete in kaggel just run this in consol
%config Completer.use_jedi = False
"""
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages... | {'source': 'AI4Code', 'id': '9c762b92119e2d'} |
60268 | """
## HOG, or Histogram of Oriented Gradients, is a feature descriptor that is often used to extract features from image data. It is widely used in computer vision tasks for object detection**
"""
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotl... | {'source': 'AI4Code', 'id': '6f155818a7cfec'} |
87716 | """
# <Center>Premier League Player Analysis<Center>
"""
"""
# Importing the Libraries
"""
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import plotly.figure_factory as ff
import plotly.graph_objects as go
import numpy as np
import plotly.express as px
import os
for dirname, _, filenames in ... | {'source': 'AI4Code', 'id': 'a0da8db1b2bc00'} |
119119 | # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g... | {'source': 'AI4Code', 'id': 'db24f9fd5ba6bb'} |
End of preview.