diff --git a/.gitattributes b/.gitattributes
index 1ef325f1b111266a6b26e0196871bd78baa8c2f3..28df5f900b358436f0267334b3e3e9af33f917ba 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -9,7 +9,6 @@
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
 *.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
 *.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
@@ -54,6 +53,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..bb87bfe08a66de8f5fa57b6bd661f2f687dfafef
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,131 @@
+.DS_Store
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..f50c172a70fa7a16a42028ba23d51f4e45515118
--- /dev/null
+++ b/README.md
@@ -0,0 +1,461 @@
+---
+language:
+- en
+license: mit
+task_categories:
+- text-generation
+configs:
+- config_name: fm
+  data_files:
+  - split: train
+    path: data/fm/train-*
+  - split: test
+    path: data/fm/test-*
+  - split: validation
+    path: data/fm/validation-*
+- config_name: fm_indented
+  data_files:
+  - split: train
+    path: data/fm_indented/train-*
+  - split: test
+    path: data/fm_indented/test-*
+  - split: validation
+    path: data/fm_indented/validation-*
+- config_name: fm+t
+  data_files:
+  - split: train
+    path: data/fm+t/train-*
+  - split: test
+    path: data/fm+t/test-*
+  - split: validation
+    path: data/fm+t/validation-*
+- config_name: fm+fc
+  data_files:
+  - split: train
+    path: data/fm+fc/train-*
+  - split: test
+    path: data/fm+fc/test-*
+  - split: validation
+    path: data/fm+fc/validation-*
+- config_name: fm+fc+t+tc
+  data_files:
+  - split: train
+    path: data/fm+fc+t+tc/train-*
+  - split: test
+    path: data/fm+fc+t+tc/test-*
+  - split: validation
+    path: data/fm+fc+t+tc/validation-*
+- config_name: fm+fc+c
+  data_files:
+  - split: train
+    path: data/fm+fc+c/train-*
+  - split: test
+    path: data/fm+fc+c/test-*
+  - split: validation
+    path: data/fm+fc+c/validation-*
+- config_name: fm+fc+c+t+tc
+  data_files:
+  - split: train
+    path: data/fm+fc+c+t+tc/train-*
+  - split: test
+    path: data/fm+fc+c+t+tc/test-*
+  - split: validation
+    path: data/fm+fc+c+t+tc/validation-*
+- config_name: fm+fc+c+m
+  data_files:
+  - split: train
+    path: data/fm+fc+c+m/train-*
+  - split: test
+    path: data/fm+fc+c+m/test-*
+  - split: validation
+    path: data/fm+fc+c+m/validation-*
+- config_name: fm+fc+c+m+t+tc
+  data_files:
+  - split: train
+    path: data/fm+fc+c+m+t+tc/train-*
+  - split: test
+    path: data/fm+fc+c+m+t+tc/test-*
+  - split: validation
+    path: data/fm+fc+c+m+t+tc/validation-*
+- config_name: fm+fc+c+m+f
+  data_files:
+  - split: train
+    path: data/fm+fc+c+m+f/train-*
+  - split: test
+    path: data/fm+fc+c+m+f/test-*
+  - split: validation
+    path: data/fm+fc+c+m+f/validation-*
+- config_name: fm+fc+c+m+f+t+tc
+  data_files:
+  - split: train
+    path: data/fm+fc+c+m+f+t+tc/train-*
+  - split: test
+    path: data/fm+fc+c+m+f+t+tc/test-*
+  - split: validation
+    path: data/fm+fc+c+m+f+t+tc/validation-*
+- config_name: t
+  data_files:
+  - split: train
+    path: data/t/train-*
+  - split: test
+    path: data/t/test-*
+  - split: validation
+    path: data/t/validation-*
+- config_name: t_indented
+  data_files:
+  - split: train
+    path: data/t_indented/train-*
+  - split: test
+    path: data/t_indented/test-*
+  - split: validation
+    path: data/t_indented/validation-*
+- config_name: t+tc
+  data_files:
+  - split: train
+    path: data/t+tc/train-*
+  - split: test
+    path: data/t+tc/test-*
+  - split: validation
+    path: data/t+tc/validation-*
+dataset_info:
+- config_name: fm
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 440444124
+    num_examples: 624022
+  - name: test
+    num_bytes: 59407291
+    num_examples: 78388
+  - name: validation
+    num_bytes: 57170315
+    num_examples: 78534
+  download_size: 99172217
+  dataset_size: 557021730
+- config_name: fm+fc
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 506130678
+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 65318956
+    num_examples: 78534
+  download_size: 109141139
+  dataset_size: 639857124
+- config_name: fm+fc+c
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 569209100
+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 73101169
+    num_examples: 78534
+  download_size: 117996353
+  dataset_size: 717862842
+- config_name: fm+fc+c+m
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1354004338
+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 184349299
+    num_examples: 78534
+  download_size: 222922572
+  dataset_size: 1726078566
+- config_name: fm+fc+c+m+f
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1476073209
+    num_examples: 624022
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+    num_examples: 78388
+  - name: validation
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+    num_examples: 78534
+  download_size: 240405885
+  dataset_size: 1879019970
+- config_name: fm+fc+c+m+f+t+tc
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 272958781
+    num_examples: 78534
+  download_size: 371500476
+  dataset_size: 2561898471
+- config_name: fm+fc+c+m+t+tc
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
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+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 256030595
+    num_examples: 78534
+  download_size: 360175965
+  dataset_size: 2408767059
+- config_name: fm+fc+c+t+tc
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
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+  - name: validation
+    num_bytes: 144523616
+    num_examples: 78534
+  download_size: 251861137
+  dataset_size: 1396909356
+- config_name: fm+fc+t+tc
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
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+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 136729952
+    num_examples: 78534
+  download_size: 243052074
+  dataset_size: 1318726179
+- config_name: fm+t
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 868034154
+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 112688219
+    num_examples: 78534
+  download_size: 217267853
+  dataset_size: 1095093560
+- config_name: fm_indented
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 473170158
+    num_examples: 624022
+  - name: test
+    num_bytes: 64280367
+    num_examples: 78388
+  - name: validation
+    num_bytes: 61093848
+    num_examples: 78534
+  download_size: 103174190
+  dataset_size: 598544373
+- config_name: t
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 380207303
+    num_examples: 624022
+  - name: test
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+    num_examples: 78388
+  - name: validation
+    num_bytes: 49808813
+    num_examples: 78534
+  download_size: 113820250
+  dataset_size: 478009304
+- config_name: t+tc
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 550955294
+    num_examples: 624022
+  - name: test
+    num_bytes: 68323462
+    num_examples: 78388
+  - name: validation
+    num_bytes: 72740770
+    num_examples: 78534
+  download_size: 136767271
+  dataset_size: 692019526
+- config_name: t_indented
+  features:
+  - name: id
+    dtype: string
+  - name: source
+    dtype: string
+  - name: target
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 405853738
+    num_examples: 624022
+  - name: test
+    num_bytes: 51457514
+    num_examples: 78388
+  - name: validation
+    num_bytes: 52970428
+    num_examples: 78534
+  download_size: 117732776
+  dataset_size: 510281680
+tags:
+- unit test
+- java
+- code
+---
+
+## Dataset Description
+Microsoft created the methods2test dataset, consisting of Java Junit test cases with its corresponding focal methods. 
+It contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K
+Java open source project hosted on GitHub.
+
+This is an assembled version of the methods2test dataset. 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.
+
+The mapping between test case and focal methods are based heuristics rules and Java developer's best practice.
+
+More information could be found here:
+- [methods2test Github repo](https://github.com/microsoft/methods2test)
+- [Methods2Test: A dataset of focal methods mapped to test cases](https://arxiv.org/pdf/2203.12776.pdf)
+
+## Dataset Schema
+```
+t: <TEST_CASE>
+t_tc: <TEST_CASE> <TEST_CLASS_NAME>
+fm: <FOCAL_METHOD>
+fm_fc: <FOCAL_CLASS_NAME> <FOCAL_METHOD>
+fm_fc_c: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS>
+fm_fc_c_m: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS> <METHOD_SIGNATURES>
+fm_fc_c_m_f: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS> <METHOD_SIGNATURES> <FIELDS>
+```
+
+## Focal Context
+- fm: this representation incorporates exclusively the source
+code of the focal method. Intuitively, this contains the most
+important information for generating accurate test cases for
+the given method.
+- fm+fc: this representations adds the focal class name, which
+can provide meaningful semantic information to the model.
+- fm+fc+c: this representation adds the signatures of the constructor methods of the focal class. The idea behind this
+augmentation is that the test case may require instantiating
+an object of the focal class in order to properly test the focal
+method.
+- fm+fc+c+m: this representation adds the signatures of the
+other public methods in the focal class. The rationale which
+motivated this inclusion is that the test case may need to
+invoke other auxiliary methods within the class (e.g., getters,
+setters) to set up or tear down the testing environment.
+- fm+fc+c+m+f : this representation adds the public fields of
+the focal class. The motivation is that test cases may need to
+inspect the status of the public fields to properly test a focal
+method.
+
+![image/png](https://huggingface.co/datasets/fals3/methods2test/resolve/main/figure-1-focal-context.png)
+
+ The different levels of focal contexts are the following:
+```
+T: test case
+T_TC: test case + test class name
+FM: focal method
+FM_FC: focal method + focal class name
+FM_FC_C: focal method + focal class name + constructor signatures
+FM_FC_C_M: focal method + focal class name + constructor signatures + public method signatures
+FM_FC_C_M_F: focal method + focal class name + constructor signatures + public method signatures + public fields
+```
+
+## Limitations
+The original authors validate the heuristics by inspecting a
+statistically significant sample (confidence level of 95% within 10%
+margin of error) of 97 samples from the training set. Two authors
+independently evaluated the sample, then met to discuss the disagreements. We found that 90.72% of the samples have a correct
+link between the test case and the corresponding focal method
+
+## Contribution
+All thanks to the original authors.
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diff --git a/process.ipynb b/process.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 7440/7440 [02:42<00:00, 45.75it/s] \n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import os\n",
+    "from tqdm import tqdm\n",
+    "from pathlib import Path\n",
+    "\n",
+    "\n",
+    "split = \"train\" # \"test\", \"eval\"\n",
+    "\n",
+    "def load_json_files(filepath):\n",
+    "    with open(filepath, 'r') as f:\n",
+    "        data = json.load(f)\n",
+    "    return data\n",
+    "\n",
+    "\n",
+    "folders = [os.path.join('dataset', split, f) for f in os.listdir('dataset/'+ split )]\n",
+    "data = []\n",
+    "for folderpath in tqdm(folders):\n",
+    "    if not os.path.isdir(folderpath):\n",
+    "        continue\n",
+    "    files = [os.path.join(folderpath, f) for f in os.listdir(folderpath)]\n",
+    "    for filepath in files:\n",
+    "        if filepath.endswith('.json'):\n",
+    "            \n",
+    "            data.append({\"id\": str(Path(filepath).stem), **load_json_files(filepath)})\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 624022/624022 [00:11<00:00, 53122.61it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "results = []\n",
+    "for item in tqdm(data):\n",
+    "    # Focal class\n",
+    "    focal_class = \"class\" + \" \" + item[\"focal_class\"][\"identifier\"]\n",
+    "\n",
+    "    if item[\"focal_class\"][\"superclass\"]:\n",
+    "        focal_class += \" \" + item[\"focal_class\"][\"superclass\"]\n",
+    "\n",
+    "    if item[\"focal_class\"][\"interfaces\"]:\n",
+    "        focal_class += \" \" + item[\"focal_class\"][\"interfaces\"]\n",
+    "\n",
+    "    focal_class += \" {\"\n",
+    "\n",
+    "    indent = item[\"focal_method\"][\"body\"].split(\"\\n\")[-1][:-1]\n",
+    "\n",
+    "    # Focal method\n",
+    "    focal_method = indent + item[\"focal_method\"][\"body\"]\n",
+    "\n",
+    "    # Constructors\n",
+    "    constructors = []\n",
+    "    for method in item[\"focal_class\"][\"methods\"]:\n",
+    "        if method[\"constructor\"]:\n",
+    "            constructor = indent + method[\"full_signature\"] + \";\"\n",
+    "            constructors.append(constructor)\n",
+    "\n",
+    "    # Methods\n",
+    "    methods = []\n",
+    "    for method in item[\"focal_class\"][\"methods\"]:\n",
+    "        if item[\"focal_method\"][\"full_signature\"] == method[\"full_signature\"]:\n",
+    "            continue\n",
+    "        #if method[\"testcase\"]:\n",
+    "        #    continue\n",
+    "\n",
+    "        if not method[\"constructor\"]:\n",
+    "            method_code = indent + method[\"full_signature\"] + \";\"\n",
+    "            methods.append(method_code)\n",
+    "\n",
+    "    # Fields\n",
+    "    fields = []\n",
+    "    for field in item[\"focal_class\"][\"fields\"]:\n",
+    "        field_code = indent\n",
+    "        field_code += field[\"modifier\"] + \" \" + field[\"type\"] + \" \" + field[\"var_name\"] + \";\"\n",
+    "        fields.append(field_code)\n",
+    "\n",
+    "\n",
+    "    # TEST\n",
+    "    # Test class\n",
+    "    test_class = \"class\" + \" \" + item[\"test_class\"][\"identifier\"]\n",
+    "\n",
+    "    if item[\"test_class\"][\"superclass\"]:\n",
+    "        test_class += \" \" + item[\"focal_class\"][\"superclass\"]\n",
+    "\n",
+    "    if item[\"test_class\"][\"interfaces\"]:\n",
+    "        test_class += \" \" + item[\"focal_class\"][\"interfaces\"]\n",
+    "\n",
+    "    test_class += \" {\"\n",
+    "\n",
+    "    indent = item[\"test_case\"][\"body\"].split(\"\\n\")[-1][:-1]\n",
+    "    # Test case\n",
+    "    fields = []\n",
+    "    for field in item[\"test_class\"][\"fields\"]:\n",
+    "        field_code = indent\n",
+    "        field_code += field[\"modifier\"] + \" \" + field[\"type\"] + \" \" + field[\"var_name\"] + \";\"\n",
+    "        fields.append(field_code)\n",
+    "    test_case = indent + item[\"test_case\"][\"body\"]\n",
+    "\n",
+    "    d = {\n",
+    "        'id': item['id'],\n",
+    "        't': test_case,\n",
+    "        't_tc': \"\\n\\n\".join(filter(None, [test_class, \"\\n\".join(fields), test_case, \"}\"])),\n",
+    "        'fm': focal_method,\n",
+    "        'fm_fc': \"\\n\\n\".join(filter(None, [focal_class, focal_method, \"}\"])),\n",
+    "        'fm_fc_c': \"\\n\\n\".join(filter(None, [focal_class, focal_method, \"\\n\".join(constructors), \"}\"])),\n",
+    "        'fm_fc_c_m': \"\\n\\n\".join(filter(None, [focal_class, focal_method, \"\\n\".join(constructors), \"\\n\".join(methods), \"}\"])),\n",
+    "        'fm_fc_c_m_f': \"\\n\\n\".join(filter(None, [focal_class, focal_method, \"\\n\".join(constructors), \"\\n\".join(methods), \"\\n\".join(fields), \"}\"])),\n",
+    "    }\n",
+    "    results.append(d)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# sort by id\n",
+    "results_sorted = sorted(results, key=lambda k: int(k['id']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datasets import Dataset\n",
+    "train_dataset = Dataset.from_list(results_sorted)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datasets import DatasetDict\n",
+    "\n",
+    "dataset_dict = DatasetDict({'train': train_dataset, 'test': test_dataset, 'validation': eval_dataset})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 134.38ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 143.75ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 140.60ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 150.07ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 164.71ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 157.03ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 146.53ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 154.88ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 151.50ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 144.52ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 57/57 [00:00<00:00, 145.44ba/s]\n",
+      "Uploading the dataset shards: 100%|██████████| 11/11 [01:26<00:00,  7.90s/it]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 40/40 [00:00<00:00, 155.49ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 40/40 [00:00<00:00, 138.47ba/s]\n",
+      "Uploading the dataset shards: 100%|██████████| 2/2 [00:11<00:00,  5.58s/it]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 40/40 [00:00<00:00, 145.22ba/s]\n",
+      "Creating parquet from Arrow format: 100%|██████████| 40/40 [00:00<00:00, 139.08ba/s]\n",
+      "Uploading the dataset shards: 100%|██████████| 2/2 [00:12<00:00,  6.28s/it]\n",
+      "README.md: 100%|██████████| 21.0/21.0 [00:00<00:00, 8.60kB/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "dataset_dict.push_to_hub('fals3/methods2test')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
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+}