Split into separate subsets
Browse files- .gitignore +131 -0
- README copy.md +173 -0
- README.md +244 -21
- data/{test-00000-of-00001.parquet → fm/test-00000-of-00001.parquet} +2 -2
- data/{train-00000-of-00001.parquet → fm/train-00000-of-00001.parquet} +2 -2
- data/{validation-00000-of-00001.parquet → fm/validation-00000-of-00001.parquet} +2 -2
- data/fm_fc/test-00000-of-00001.parquet +3 -0
- data/fm_fc/train-00000-of-00001.parquet +3 -0
- data/fm_fc/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_c/test-00000-of-00001.parquet +3 -0
- data/fm_fc_c/train-00000-of-00001.parquet +3 -0
- data/fm_fc_c/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m/test-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m/train-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_f/test-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_f/train-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_f/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_f_t_tc/test-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_f_t_tc/train-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_f_t_tc/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_t_tc/test-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_t_tc/train-00000-of-00001.parquet +3 -0
- data/fm_fc_c_m_t_tc/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_c_t_tc/test-00000-of-00001.parquet +3 -0
- data/fm_fc_c_t_tc/train-00000-of-00001.parquet +3 -0
- data/fm_fc_c_t_tc/validation-00000-of-00001.parquet +3 -0
- data/fm_fc_t_tc/test-00000-of-00001.parquet +3 -0
- data/fm_fc_t_tc/train-00000-of-00001.parquet +3 -0
- data/fm_fc_t_tc/validation-00000-of-00001.parquet +3 -0
- data/fm_t/test-00000-of-00001.parquet +3 -0
- data/fm_t/train-00000-of-00001.parquet +3 -0
- data/fm_t/validation-00000-of-00001.parquet +3 -0
- data/t/test-00000-of-00001.parquet +3 -0
- data/t/train-00000-of-00001.parquet +3 -0
- data/t/validation-00000-of-00001.parquet +3 -0
- data/t_tc/test-00000-of-00001.parquet +3 -0
- data/t_tc/train-00000-of-00001.parquet +3 -0
- data/t_tc/validation-00000-of-00001.parquet +3 -0
.gitignore
ADDED
|
@@ -0,0 +1,131 @@
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| 1 |
+
.DS_Store
|
| 2 |
+
|
| 3 |
+
# Byte-compiled / optimized / DLL files
|
| 4 |
+
__pycache__/
|
| 5 |
+
*.py[cod]
|
| 6 |
+
*$py.class
|
| 7 |
+
|
| 8 |
+
# C extensions
|
| 9 |
+
*.so
|
| 10 |
+
|
| 11 |
+
# Distribution / packaging
|
| 12 |
+
.Python
|
| 13 |
+
build/
|
| 14 |
+
develop-eggs/
|
| 15 |
+
dist/
|
| 16 |
+
downloads/
|
| 17 |
+
eggs/
|
| 18 |
+
.eggs/
|
| 19 |
+
lib/
|
| 20 |
+
lib64/
|
| 21 |
+
parts/
|
| 22 |
+
sdist/
|
| 23 |
+
var/
|
| 24 |
+
wheels/
|
| 25 |
+
pip-wheel-metadata/
|
| 26 |
+
share/python-wheels/
|
| 27 |
+
*.egg-info/
|
| 28 |
+
.installed.cfg
|
| 29 |
+
*.egg
|
| 30 |
+
MANIFEST
|
| 31 |
+
|
| 32 |
+
# PyInstaller
|
| 33 |
+
# Usually these files are written by a python script from a template
|
| 34 |
+
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
| 35 |
+
*.manifest
|
| 36 |
+
*.spec
|
| 37 |
+
|
| 38 |
+
# Installer logs
|
| 39 |
+
pip-log.txt
|
| 40 |
+
pip-delete-this-directory.txt
|
| 41 |
+
|
| 42 |
+
# Unit test / coverage reports
|
| 43 |
+
htmlcov/
|
| 44 |
+
.tox/
|
| 45 |
+
.nox/
|
| 46 |
+
.coverage
|
| 47 |
+
.coverage.*
|
| 48 |
+
.cache
|
| 49 |
+
nosetests.xml
|
| 50 |
+
coverage.xml
|
| 51 |
+
*.cover
|
| 52 |
+
*.py,cover
|
| 53 |
+
.hypothesis/
|
| 54 |
+
.pytest_cache/
|
| 55 |
+
|
| 56 |
+
# Translations
|
| 57 |
+
*.mo
|
| 58 |
+
*.pot
|
| 59 |
+
|
| 60 |
+
# Django stuff:
|
| 61 |
+
*.log
|
| 62 |
+
local_settings.py
|
| 63 |
+
db.sqlite3
|
| 64 |
+
db.sqlite3-journal
|
| 65 |
+
|
| 66 |
+
# Flask stuff:
|
| 67 |
+
instance/
|
| 68 |
+
.webassets-cache
|
| 69 |
+
|
| 70 |
+
# Scrapy stuff:
|
| 71 |
+
.scrapy
|
| 72 |
+
|
| 73 |
+
# Sphinx documentation
|
| 74 |
+
docs/_build/
|
| 75 |
+
|
| 76 |
+
# PyBuilder
|
| 77 |
+
target/
|
| 78 |
+
|
| 79 |
+
# Jupyter Notebook
|
| 80 |
+
.ipynb_checkpoints
|
| 81 |
+
|
| 82 |
+
# IPython
|
| 83 |
+
profile_default/
|
| 84 |
+
ipython_config.py
|
| 85 |
+
|
| 86 |
+
# pyenv
|
| 87 |
+
.python-version
|
| 88 |
+
|
| 89 |
+
# pipenv
|
| 90 |
+
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
|
| 91 |
+
# However, in case of collaboration, if having platform-specific dependencies or dependencies
|
| 92 |
+
# having no cross-platform support, pipenv may install dependencies that don't work, or not
|
| 93 |
+
# install all needed dependencies.
|
| 94 |
+
#Pipfile.lock
|
| 95 |
+
|
| 96 |
+
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
| 97 |
+
__pypackages__/
|
| 98 |
+
|
| 99 |
+
# Celery stuff
|
| 100 |
+
celerybeat-schedule
|
| 101 |
+
celerybeat.pid
|
| 102 |
+
|
| 103 |
+
# SageMath parsed files
|
| 104 |
+
*.sage.py
|
| 105 |
+
|
| 106 |
+
# Environments
|
| 107 |
+
.env
|
| 108 |
+
.venv
|
| 109 |
+
env/
|
| 110 |
+
venv/
|
| 111 |
+
ENV/
|
| 112 |
+
env.bak/
|
| 113 |
+
venv.bak/
|
| 114 |
+
|
| 115 |
+
# Spyder project settings
|
| 116 |
+
.spyderproject
|
| 117 |
+
.spyproject
|
| 118 |
+
|
| 119 |
+
# Rope project settings
|
| 120 |
+
.ropeproject
|
| 121 |
+
|
| 122 |
+
# mkdocs documentation
|
| 123 |
+
/site
|
| 124 |
+
|
| 125 |
+
# mypy
|
| 126 |
+
.mypy_cache/
|
| 127 |
+
.dmypy.json
|
| 128 |
+
dmypy.json
|
| 129 |
+
|
| 130 |
+
# Pyre type checker
|
| 131 |
+
.pyre/
|
README copy.md
ADDED
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@@ -0,0 +1,173 @@
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|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: mit
|
| 5 |
+
task_categories:
|
| 6 |
+
- text-generation
|
| 7 |
+
dataset_info:
|
| 8 |
+
features:
|
| 9 |
+
- name: id
|
| 10 |
+
dtype: string
|
| 11 |
+
- name: t
|
| 12 |
+
dtype: string
|
| 13 |
+
- name: t_tc
|
| 14 |
+
dtype: string
|
| 15 |
+
- name: fm
|
| 16 |
+
dtype: string
|
| 17 |
+
- name: fm_fc
|
| 18 |
+
dtype: string
|
| 19 |
+
- name: fm_fc_c
|
| 20 |
+
dtype: string
|
| 21 |
+
- name: fm_fc_c_m
|
| 22 |
+
dtype: string
|
| 23 |
+
- name: fm_fc_c_m_f
|
| 24 |
+
dtype: string
|
| 25 |
+
configs:
|
| 26 |
+
- config_name: fm
|
| 27 |
+
data_files:
|
| 28 |
+
- split: train
|
| 29 |
+
path: data/fm/train-*
|
| 30 |
+
- split: test
|
| 31 |
+
path: data/fm/test-*
|
| 32 |
+
- split: validation
|
| 33 |
+
path: data/fm/validation-*
|
| 34 |
+
- config_name: fm_t
|
| 35 |
+
data_files:
|
| 36 |
+
- split: train
|
| 37 |
+
path: data/fm_t/train-*
|
| 38 |
+
- split: test
|
| 39 |
+
path: data/fm_t/test-*
|
| 40 |
+
- split: validation
|
| 41 |
+
path: data/fm_t/validation-*
|
| 42 |
+
- config_name: fm_fc_t_tc
|
| 43 |
+
data_files:
|
| 44 |
+
- split: train
|
| 45 |
+
path: data/fm_fc_t_tc/train-*
|
| 46 |
+
- split: test
|
| 47 |
+
path: data/fm_fc_t_tc/test-*
|
| 48 |
+
- split: validation
|
| 49 |
+
path: data/fm_fc_t_tc/validation-*
|
| 50 |
+
- config_name: fm_fc_c
|
| 51 |
+
data_files:
|
| 52 |
+
- split: train
|
| 53 |
+
path: data/fm_fc_c/train-*
|
| 54 |
+
- split: test
|
| 55 |
+
path: data/fm_fc_c/test-*
|
| 56 |
+
- split: validation
|
| 57 |
+
path: data/fm_fc_c/validation-*
|
| 58 |
+
- config_name: fm_fc_c_t_tc
|
| 59 |
+
data_files:
|
| 60 |
+
- split: train
|
| 61 |
+
path: data/fm_fc_c_t_tc/train-*
|
| 62 |
+
- split: test
|
| 63 |
+
path: data/fm_fc_c_t_tc/test-*
|
| 64 |
+
- split: validation
|
| 65 |
+
path: data/fm_fc_c_t_tc/validation-*
|
| 66 |
+
- config_name: fm_fc_c_m
|
| 67 |
+
data_files:
|
| 68 |
+
- split: train
|
| 69 |
+
path: data/fm_fc_c_m/train-*
|
| 70 |
+
- split: test
|
| 71 |
+
path: data/fm_fc_c_m/test-*
|
| 72 |
+
- split: validation
|
| 73 |
+
path: data/fm_fc_c_m/validation-*
|
| 74 |
+
- config_name: fm_fc_c_m_t_tc
|
| 75 |
+
data_files:
|
| 76 |
+
- split: train
|
| 77 |
+
path: data/fm_fc_c_m_t_tc/train-*
|
| 78 |
+
- split: test
|
| 79 |
+
path: data/fm_fc_c_m_t_tc/test-*
|
| 80 |
+
- split: validation
|
| 81 |
+
path: data/fm_fc_c_m_t_tc/validation-*
|
| 82 |
+
- config_name: fm_fc_c_m_f
|
| 83 |
+
data_files:
|
| 84 |
+
- split: train
|
| 85 |
+
path: data/fm_fc_c_m_f/train-*
|
| 86 |
+
- split: test
|
| 87 |
+
path: data/fm_fc_c_m_f/test-*
|
| 88 |
+
- split: validation
|
| 89 |
+
path: data/fm_fc_c_m_f/validation-*
|
| 90 |
+
- config_name: fm_fc_c_m_f_t_tc
|
| 91 |
+
data_files:
|
| 92 |
+
- split: train
|
| 93 |
+
path: data/fm_fc_c_m_f_t_tc/train-*
|
| 94 |
+
- split: test
|
| 95 |
+
path: data/fm_fc_c_m_f_t_tc/test-*
|
| 96 |
+
- split: validation
|
| 97 |
+
path: data/fm_fc_c_m_f_t_tc/validation-*
|
| 98 |
+
tags:
|
| 99 |
+
- unit test
|
| 100 |
+
- java
|
| 101 |
+
- code
|
| 102 |
+
---
|
| 103 |
+
|
| 104 |
+
## Dataset Description
|
| 105 |
+
Microsoft created the methods2test dataset, consisting of Java Junit test cases with its corresponding focal methods.
|
| 106 |
+
It contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K
|
| 107 |
+
Java open source project hosted on GitHub.
|
| 108 |
+
|
| 109 |
+
This is smaller subset of the assembled version of the methods2test dataset.
|
| 110 |
+
It provides convenient access to the different context levels based on the raw source code (e.g. newlines are preserved). The test cases and associated classes are also made available.
|
| 111 |
+
The subset is created by randomly selecting only one sample from each of the 91k projects.
|
| 112 |
+
|
| 113 |
+
|
| 114 |
+
The mapping between test case and focal methods are based heuristics rules and Java developer's best practice.
|
| 115 |
+
|
| 116 |
+
More information could be found here:
|
| 117 |
+
- [methods2test Github repo](https://github.com/microsoft/methods2test)
|
| 118 |
+
- [Methods2Test: A dataset of focal methods mapped to test cases](https://arxiv.org/pdf/2203.12776.pdf)
|
| 119 |
+
|
| 120 |
+
## Dataset Schema
|
| 121 |
+
```
|
| 122 |
+
t: <TEST_CASE>
|
| 123 |
+
t_tc: <TEST_CASE> <TEST_CLASS_NAME>
|
| 124 |
+
fm: <FOCAL_METHOD>
|
| 125 |
+
fm_fc: <FOCAL_CLASS_NAME> <FOCAL_METHOD>
|
| 126 |
+
fm_fc_c: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS>
|
| 127 |
+
fm_fc_c_m: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS> <METHOD_SIGNATURES>
|
| 128 |
+
fm_fc_c_m_f: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS> <METHOD_SIGNATURES> <FIELDS>
|
| 129 |
+
```
|
| 130 |
+
|
| 131 |
+
## Focal Context
|
| 132 |
+
- fm: this representation incorporates exclusively the source
|
| 133 |
+
code of the focal method. Intuitively, this contains the most
|
| 134 |
+
important information for generating accurate test cases for
|
| 135 |
+
the given method.
|
| 136 |
+
- fm+fc: this representations adds the focal class name, which
|
| 137 |
+
can provide meaningful semantic information to the model.
|
| 138 |
+
- fm+fc+c: this representation adds the signatures of the constructor methods of the focal class. The idea behind this
|
| 139 |
+
augmentation is that the test case may require instantiating
|
| 140 |
+
an object of the focal class in order to properly test the focal
|
| 141 |
+
method.
|
| 142 |
+
- fm+fc+c+m: this representation adds the signatures of the
|
| 143 |
+
other public methods in the focal class. The rationale which
|
| 144 |
+
motivated this inclusion is that the test case may need to
|
| 145 |
+
invoke other auxiliary methods within the class (e.g., getters,
|
| 146 |
+
setters) to set up or tear down the testing environment.
|
| 147 |
+
- fm+fc+c+m+f : this representation adds the public fields of
|
| 148 |
+
the focal class. The motivation is that test cases may need to
|
| 149 |
+
inspect the status of the public fields to properly test a focal
|
| 150 |
+
method.
|
| 151 |
+
|
| 152 |
+

|
| 153 |
+
|
| 154 |
+
The different levels of focal contexts are the following:
|
| 155 |
+
```
|
| 156 |
+
T: test case
|
| 157 |
+
T_TC: test case + test class name
|
| 158 |
+
FM: focal method
|
| 159 |
+
FM_FC: focal method + focal class name
|
| 160 |
+
FM_FC_C: focal method + focal class name + constructor signatures
|
| 161 |
+
FM_FC_C_M: focal method + focal class name + constructor signatures + public method signatures
|
| 162 |
+
FM_FC_C_M_F: focal method + focal class name + constructor signatures + public method signatures + public fields
|
| 163 |
+
```
|
| 164 |
+
|
| 165 |
+
## Limitations
|
| 166 |
+
The original authors validate the heuristics by inspecting a
|
| 167 |
+
statistically significant sample (confidence level of 95% within 10%
|
| 168 |
+
margin of error) of 97 samples from the training set. Two authors
|
| 169 |
+
independently evaluated the sample, then met to discuss the disagreements. We found that 90.72% of the samples have a correct
|
| 170 |
+
link between the test case and the corresponding focal method
|
| 171 |
+
|
| 172 |
+
## Contribution
|
| 173 |
+
All thanks to the original authors.
|
README.md
CHANGED
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@@ -4,45 +4,268 @@ language:
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|
| 4 |
license: mit
|
| 5 |
task_categories:
|
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- text-generation
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|
| 7 |
dataset_info:
|
|
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|
| 8 |
features:
|
| 9 |
- name: id
|
| 10 |
dtype: string
|
| 11 |
-
- name:
|
| 12 |
dtype: string
|
| 13 |
-
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| 14 |
dtype: string
|
| 15 |
-
- name:
|
| 16 |
dtype: string
|
| 17 |
-
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| 18 |
dtype: string
|
| 19 |
-
- name:
|
| 20 |
dtype: string
|
| 21 |
-
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|
| 22 |
dtype: string
|
| 23 |
-
- name:
|
| 24 |
dtype: string
|
| 25 |
splits:
|
| 26 |
- name: train
|
| 27 |
-
num_bytes:
|
| 28 |
num_examples: 7440
|
|
|
|
|
|
|
|
|
|
| 29 |
- name: test
|
| 30 |
-
num_bytes:
|
| 31 |
num_examples: 1017
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|
| 32 |
- name: validation
|
| 33 |
-
num_bytes:
|
| 34 |
num_examples: 953
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
-
|
| 43 |
-
|
| 44 |
-
-
|
| 45 |
-
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|
| 46 |
tags:
|
| 47 |
- unit test
|
| 48 |
- java
|
|
|
|
| 4 |
license: mit
|
| 5 |
task_categories:
|
| 6 |
- text-generation
|
| 7 |
+
configs:
|
| 8 |
+
- config_name: fm
|
| 9 |
+
data_files:
|
| 10 |
+
- split: train
|
| 11 |
+
path: data/fm/train-*
|
| 12 |
+
- split: test
|
| 13 |
+
path: data/fm/test-*
|
| 14 |
+
- split: validation
|
| 15 |
+
path: data/fm/validation-*
|
| 16 |
+
- config_name: fm_t
|
| 17 |
+
data_files:
|
| 18 |
+
- split: train
|
| 19 |
+
path: data/fm_t/train-*
|
| 20 |
+
- split: test
|
| 21 |
+
path: data/fm_t/test-*
|
| 22 |
+
- split: validation
|
| 23 |
+
path: data/fm_t/validation-*
|
| 24 |
+
- config_name: fm_fc
|
| 25 |
+
data_files:
|
| 26 |
+
- split: train
|
| 27 |
+
path: data/fm_fc/train-*
|
| 28 |
+
- split: test
|
| 29 |
+
path: data/fm_fc/test-*
|
| 30 |
+
- split: validation
|
| 31 |
+
path: data/fm_fc/validation-*
|
| 32 |
+
- config_name: fm_fc
|
| 33 |
+
data_files:
|
| 34 |
+
- split: train
|
| 35 |
+
path: data/fm_fc_t_tc/train-*
|
| 36 |
+
- split: test
|
| 37 |
+
path: data/fm_fc_t_tc/test-*
|
| 38 |
+
- split: validation
|
| 39 |
+
path: data/fm_fc_t_tc/validation-*
|
| 40 |
+
- config_name: fm_fc_c
|
| 41 |
+
data_files:
|
| 42 |
+
- split: train
|
| 43 |
+
path: data/fm_fc_c/train-*
|
| 44 |
+
- split: test
|
| 45 |
+
path: data/fm_fc_c/test-*
|
| 46 |
+
- split: validation
|
| 47 |
+
path: data/fm_fc_c/validation-*
|
| 48 |
+
- config_name: fm_fc_c_t_tc
|
| 49 |
+
data_files:
|
| 50 |
+
- split: train
|
| 51 |
+
path: data/fm_fc_c_t_tc/train-*
|
| 52 |
+
- split: test
|
| 53 |
+
path: data/fm_fc_c_t_tc/test-*
|
| 54 |
+
- split: validation
|
| 55 |
+
path: data/fm_fc_c_t_tc/validation-*
|
| 56 |
+
- config_name: fm_fc_c_m
|
| 57 |
+
data_files:
|
| 58 |
+
- split: train
|
| 59 |
+
path: data/fm_fc_c_m/train-*
|
| 60 |
+
- split: test
|
| 61 |
+
path: data/fm_fc_c_m/test-*
|
| 62 |
+
- split: validation
|
| 63 |
+
path: data/fm_fc_c_m/validation-*
|
| 64 |
+
- config_name: fm_fc_c_m_t_tc
|
| 65 |
+
data_files:
|
| 66 |
+
- split: train
|
| 67 |
+
path: data/fm_fc_c_m_t_tc/train-*
|
| 68 |
+
- split: test
|
| 69 |
+
path: data/fm_fc_c_m_t_tc/test-*
|
| 70 |
+
- split: validation
|
| 71 |
+
path: data/fm_fc_c_m_t_tc/validation-*
|
| 72 |
+
- config_name: fm_fc_c_m_f
|
| 73 |
+
data_files:
|
| 74 |
+
- split: train
|
| 75 |
+
path: data/fm_fc_c_m_f/train-*
|
| 76 |
+
- split: test
|
| 77 |
+
path: data/fm_fc_c_m_f/test-*
|
| 78 |
+
- split: validation
|
| 79 |
+
path: data/fm_fc_c_m_f/validation-*
|
| 80 |
+
- config_name: fm_fc_c_m_f_t_tc
|
| 81 |
+
data_files:
|
| 82 |
+
- split: train
|
| 83 |
+
path: data/fm_fc_c_m_f_t_tc/train-*
|
| 84 |
+
- split: test
|
| 85 |
+
path: data/fm_fc_c_m_f_t_tc/test-*
|
| 86 |
+
- split: validation
|
| 87 |
+
path: data/fm_fc_c_m_f_t_tc/validation-*
|
| 88 |
dataset_info:
|
| 89 |
+
- config_name: fm
|
| 90 |
features:
|
| 91 |
- name: id
|
| 92 |
dtype: string
|
| 93 |
+
- name: text
|
| 94 |
dtype: string
|
| 95 |
+
splits:
|
| 96 |
+
- name: train
|
| 97 |
+
num_bytes: 4696431
|
| 98 |
+
num_examples: 7440
|
| 99 |
+
- name: validation
|
| 100 |
+
num_bytes: 662917
|
| 101 |
+
num_examples: 953
|
| 102 |
+
- name: test
|
| 103 |
+
num_bytes: 642347
|
| 104 |
+
num_examples: 1017
|
| 105 |
+
download_size: 2633268
|
| 106 |
+
dataset_size: 6001695
|
| 107 |
+
- config_name: fm_t
|
| 108 |
+
features:
|
| 109 |
+
- name: id
|
| 110 |
dtype: string
|
| 111 |
+
- name: text
|
| 112 |
dtype: string
|
| 113 |
+
splits:
|
| 114 |
+
- name: train
|
| 115 |
+
num_bytes: 8859676
|
| 116 |
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num_examples: 7440
|
| 117 |
+
- name: validation
|
| 118 |
+
num_bytes: 1332986
|
| 119 |
+
num_examples: 953
|
| 120 |
+
- name: test
|
| 121 |
+
num_bytes: 1203645
|
| 122 |
+
num_examples: 1017
|
| 123 |
+
download_size: 4758345
|
| 124 |
+
dataset_size: 11396307
|
| 125 |
+
- config_name: fm_fc
|
| 126 |
+
features:
|
| 127 |
+
- name: id
|
| 128 |
dtype: string
|
| 129 |
+
- name: text
|
| 130 |
dtype: string
|
| 131 |
+
splits:
|
| 132 |
+
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|
| 133 |
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num_bytes: 5387123
|
| 134 |
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num_examples: 7440
|
| 135 |
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- name: validation
|
| 136 |
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num_bytes: 757167
|
| 137 |
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num_examples: 953
|
| 138 |
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- name: test
|
| 139 |
+
num_bytes: 738049
|
| 140 |
+
num_examples: 1017
|
| 141 |
+
download_size: 2925807
|
| 142 |
+
dataset_size: 6882339
|
| 143 |
+
- config_name: fm_fc_t_tc
|
| 144 |
+
features:
|
| 145 |
+
- name: id
|
| 146 |
dtype: string
|
| 147 |
+
- name: text
|
| 148 |
dtype: string
|
| 149 |
splits:
|
| 150 |
- name: train
|
| 151 |
+
num_bytes: 10882600
|
| 152 |
num_examples: 7440
|
| 153 |
+
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|
| 154 |
+
num_bytes: 1604939
|
| 155 |
+
num_examples: 953
|
| 156 |
- name: test
|
| 157 |
+
num_bytes: 1478517
|
| 158 |
num_examples: 1017
|
| 159 |
+
download_size: 5540045
|
| 160 |
+
dataset_size: 13966056
|
| 161 |
+
- config_name: fm_fc_c
|
| 162 |
+
features:
|
| 163 |
+
- name: id
|
| 164 |
+
dtype: string
|
| 165 |
+
- name: text
|
| 166 |
+
dtype: string
|
| 167 |
+
splits:
|
| 168 |
+
- name: train
|
| 169 |
+
num_bytes: 5906873
|
| 170 |
+
num_examples: 7440
|
| 171 |
- name: validation
|
| 172 |
+
num_bytes: 824441
|
| 173 |
num_examples: 953
|
| 174 |
+
- name: test
|
| 175 |
+
num_bytes: 820149
|
| 176 |
+
num_examples: 1017
|
| 177 |
+
download_size: 3170873
|
| 178 |
+
dataset_size: 7551463
|
| 179 |
+
- config_name: fm_fc_c_t_tc
|
| 180 |
+
features:
|
| 181 |
+
- name: id
|
| 182 |
+
dtype: string
|
| 183 |
+
- name: text
|
| 184 |
+
dtype: string
|
| 185 |
+
splits:
|
| 186 |
+
- name: train
|
| 187 |
+
num_bytes: 11402350
|
| 188 |
+
num_examples: 7440
|
| 189 |
+
- name: validation
|
| 190 |
+
num_bytes: 1672213
|
| 191 |
+
num_examples: 953
|
| 192 |
+
- name: test
|
| 193 |
+
num_bytes: 1560617
|
| 194 |
+
num_examples: 1017
|
| 195 |
+
download_size: 5763488
|
| 196 |
+
dataset_size: 14635180
|
| 197 |
+
- config_name: fm_fc_c_m
|
| 198 |
+
features:
|
| 199 |
+
- name: id
|
| 200 |
+
dtype: string
|
| 201 |
+
- name: text
|
| 202 |
+
dtype: string
|
| 203 |
+
splits:
|
| 204 |
+
- name: train
|
| 205 |
+
num_bytes: 11930672
|
| 206 |
+
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