diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index ca20b97..c2f22a4 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,5 +1,11 @@
 # Contribution Guide
 
+## Setup
+
+```bash
+poetry install
+```
+
 ## Generate dataset
 
 ```bash
diff --git a/Makefile b/Makefile
index ba77df1..168943a 100644
--- a/Makefile
+++ b/Makefile
@@ -1,7 +1,7 @@
 all: build upload
 
 build:
-	python3 -m sensai_gen.cli
+	python3 -m sensai_dataset.gen
 
 upload:
-	kaggle datasets version -d -m "New version" --path $$DATASET_DIR
+	kaggle datasets version -m "New version" --path $$DATASET_DIR
diff --git a/README.md b/README.md
index e367a2e..61b2436 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,10 @@
 # ❤️‍🩹 Sensai: Toxic Chat Dataset
 
-Sensai is a dataset consists of live chats from all across Virtual YouTubers' live streams, ready for training toxic chat classification models.
+Sensai is a toxic chat dataset consists of live chats from Virtual YouTubers' live streams.
 
-Download the dataset from [Kaggle Datasets](https://www.kaggle.com/uetchy/sensai) and join `#livechat-dataset` channel on [holodata Discord](https://holodata.org/discord) for discussions.
+Download the dataset from [Huggingface Hub](https://huggingface.co/datasets/holodata/sensai) or alternatively from [Kaggle Datasets](https://www.kaggle.com/uetchy/sensai).
+
+Join `#livechat-dataset` channel on [holodata Discord](https://holodata.org/discord) for discussions.
 
 ## Provenance
 
@@ -23,7 +25,7 @@ See [public notebooks](https://www.kaggle.com/uetchy/sensai/code) for ideas.
 | filename                  | summary                                                        | size     |
 | ------------------------- | -------------------------------------------------------------- | -------- |
 | `chats_flagged_%Y-%m.csv` | Chats flagged as either deleted or banned by mods (3,100,000+) | ~ 400 MB |
-| `chats_nonflag_%Y-%m.csv` | Non-flagged chats (3,000,000+)                                 | ~ 300 MB |
+| `chats_nonflag_%Y-%m.csv` | Non-flagged chats (3,100,000+)                                 | ~ 300 MB |
 
 To make it a balanced dataset, the number of `chats_nonflags` is adjusted (randomly sampled) to be the same as `chats_flagged`.
 Ban and deletion are equivalent to `markChatItemsByAuthorAsDeletedAction` and `markChatItemAsDeletedAction` respectively.
@@ -35,38 +37,42 @@ Ban and deletion are equivalent to `markChatItemsByAuthorAsDeletedAction` and `m
 | column          | type   | description                  |
 | --------------- | ------ | ---------------------------- |
 | body            | string | chat message                 |
-| membership      | string | membership status            |
 | authorChannelId | string | anonymized author channel id |
 | channelId       | string | source channel id            |
+| label           | enum   | toxic,spam,safe              |
 
-#### Membership status
+## Usage
 
-| value             | duration                  |
-| ----------------- | ------------------------- |
-| unknown           | Indistinguishable         |
-| non-member        | 0                         |
-| less than 1 month | < 1 month                 |
-| 1 month           | >= 1 month, < 2 months    |
-| 2 months          | >= 2 months, < 6 months   |
-| 6 months          | >= 6 months, < 12 months  |
-| 1 year            | >= 12 months, < 24 months |
-| 2 years           | >= 24 months              |
-
-#### Pandas usage
-
-Set `keep_default_na` to `False` and `na_values` to `''` in `read_csv`. Otherwise, chat message like `NA` would incorrectly be treated as NaN value.
+https://huggingface.co/docs/datasets/loading_datasets.html
 
 ```python
-import pandas as pd
-from glob import iglob
+# $ pip3 install datasets
+from datasets import load_dataset, Features, ClassLabel, Value
 
-flagged = pd.concat([
-    pd.read_csv(f,
-                na_values='',
-                keep_default_na=False)
-    for f in iglob('../input/sensai/chats_flagged_*.csv')
-],
-               ignore_index=True)
+dataset = load_dataset("holodata/sensai",
+    features=Features(
+        {
+            "body": Value("string"),
+            "toxic": ClassLabel(num_classes=2, names=['0', '1'])
+        }
+    ))
+
+model = AutoModelForSequenceClassification.from_pretrained("bert-base-cased", num_labels=2)
+tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
+
+def tokenize_function(examples):
+    return tokenizer(examples["body"], padding="max_length", truncation=True)
+
+tokenized_datasets = dataset['train'].shuffle().select(range(50000)).map(tokenize_function, batched=True)
+tokenized_datasets.rename_column_("toxic", "label")
+splitset = tokenized_datasets.train_test_split(0.2)
+training_args = TrainingArguments("test_trainer")
+
+trainer = Trainer(
+    model=model, args=training_args, train_dataset=splitset['train'], eval_dataset=splitset['test']
+)
+
+trainer.train()
 ```
 
 ## Consideration
diff --git a/notebooks/playground.ipynb b/notebooks/playground.ipynb
new file mode 100644
index 0000000..f2af389
--- /dev/null
+++ b/notebooks/playground.ipynb
@@ -0,0 +1,354 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "source": [
+    "from datasets import load_dataset, Features\n",
+    "from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments\n",
+    "import os\n",
+    "from os.path import join\n",
+    "import pandas as pd\n",
+    "from datasets import ClassLabel, Value\n",
+    "\n",
+    "# https://huggingface.co/docs/datasets/loading_datasets.html\n",
+    "\n",
+    "DATASET_DIR = os.environ['DATASET_DIR']"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "source": [
+    "dataset = load_dataset(\"holodata/sensai\", features=Features(\n",
+    "                {\n",
+    "                    \"body\": Value(\"string\"),\n",
+    "                    \"toxic\": ClassLabel(num_classes=2, names=['0', '1'])\n",
+    "                }\n",
+    "            ))\n",
+    "dataset = dataset['train']"
+   ],
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "704789c10f1e44ddbb83262b8a826eec"
+      },
+      "text/plain": [
+       "  0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Using custom data configuration sensai-4d9ed81389161083\n",
+      "Reusing dataset parquet (/home/uetchy/.cache/huggingface/datasets/parquet/sensai-4d9ed81389161083/0.0.0/9296ce43568b20d72ff8ff8ecbc821a16b68e9b8b7058805ef11f06e035f911a)\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "8acdde0c4caa4d4698f97ef29993195b"
+      },
+      "text/plain": [
+       "  0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {}
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "source": [
+    "dataset.features"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'body': Value(dtype='string', id=None),\n",
+       " 'toxic': ClassLabel(num_classes=2, names=['0', '1'], names_file=None, id=None)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 3
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "source": [
+    "model = AutoModelForSequenceClassification.from_pretrained(\"bert-base-cased\", num_labels=2)\n",
+    "tokenizer = AutoTokenizer.from_pretrained(\"bert-base-cased\")"
+   ],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForSequenceClassification: ['cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.predictions.bias']\n",
+      "- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+      "- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+      "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.weight', 'classifier.bias']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
+     ]
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "source": [
+    "samples = dataset.shuffle().select(range(50000))\n",
+    "\n",
+    "def tokenize_function(examples):\n",
+    "    return tokenizer(examples[\"body\"], padding=\"max_length\", truncation=True)\n",
+    "\n",
+    "tokenized_datasets = samples.map(tokenize_function, batched=True)\n",
+    "tokenized_datasets.rename_column_(\"toxic\", \"label\")"
+   ],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Loading cached shuffled indices for dataset at /home/uetchy/.cache/huggingface/datasets/parquet/sensai-4d9ed81389161083/0.0.0/9296ce43568b20d72ff8ff8ecbc821a16b68e9b8b7058805ef11f06e035f911a/cache-24e3dd769ef2f1b7.arrow\n",
+      "Loading cached processed dataset at /home/uetchy/.cache/huggingface/datasets/parquet/sensai-4d9ed81389161083/0.0.0/9296ce43568b20d72ff8ff8ecbc821a16b68e9b8b7058805ef11f06e035f911a/cache-8395f066c72e57d7.arrow\n",
+      "/tmp/ipykernel_4082765/2982913603.py:7: FutureWarning: rename_column_ is deprecated and will be removed in the next major version of datasets. Use Dataset.rename_column instead.\n",
+      "  tokenized_datasets.rename_column_(\"toxic\", \"label\")\n"
+     ]
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "source": [
+    "splitset = tokenized_datasets.train_test_split(0.2)\n",
+    "splitset"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "DatasetDict({\n",
+       "    train: Dataset({\n",
+       "        features: ['attention_mask', 'body', 'input_ids', 'token_type_ids', 'label'],\n",
+       "        num_rows: 40000\n",
+       "    })\n",
+       "    test: Dataset({\n",
+       "        features: ['attention_mask', 'body', 'input_ids', 'token_type_ids', 'label'],\n",
+       "        num_rows: 10000\n",
+       "    })\n",
+       "})"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 6
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "source": [
+    "training_args = TrainingArguments(\"test_trainer\")\n",
+    "trainer = Trainer(\n",
+    "    model=model, args=training_args, train_dataset=splitset['train'], eval_dataset=splitset['test']\n",
+    ")"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "source": [
+    "trainer.train(resume_from_checkpoint=True)"
+   ],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Loading model from test_trainer/checkpoint-12500).\n",
+      "The following columns in the training set  don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: body.\n",
+      "***** Running training *****\n",
+      "  Num examples = 40000\n",
+      "  Num Epochs = 3\n",
+      "  Instantaneous batch size per device = 8\n",
+      "  Total train batch size (w. parallel, distributed & accumulation) = 8\n",
+      "  Gradient Accumulation steps = 1\n",
+      "  Total optimization steps = 15000\n",
+      "  Continuing training from checkpoint, will skip to saved global_step\n",
+      "  Continuing training from epoch 2\n",
+      "  Continuing training from global step 12500\n",
+      "  Will skip the first 2 epochs then the first 2500 batches in the first epoch. If this takes a lot of time, you can add the `--ignore_data_skip` flag to your launch command, but you will resume the training on data already seen by your model.\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "d749dea90f914485916ce82c65e73fe6"
+      },
+      "text/plain": [
+       "  0%|          | 0/2500 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Didn't find an RNG file, if you are resuming a training that was launched in a distributed fashion, reproducibility is not guaranteed.\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      \n",
+       "      <progress value='15000' max='15000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [15000/15000 31:45, Epoch 3/3]\n",
+       "    </div>\n",
+       "    <table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: left;\">\n",
+       "      <th>Step</th>\n",
+       "      <th>Training Loss</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>13000</td>\n",
+       "      <td>0.687500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>13500</td>\n",
+       "      <td>0.686300</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>14000</td>\n",
+       "      <td>0.637900</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>14500</td>\n",
+       "      <td>0.643200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>15000</td>\n",
+       "      <td>0.627700</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table><p>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Saving model checkpoint to test_trainer/checkpoint-13000\n",
+      "Configuration saved in test_trainer/checkpoint-13000/config.json\n",
+      "Model weights saved in test_trainer/checkpoint-13000/pytorch_model.bin\n",
+      "Saving model checkpoint to test_trainer/checkpoint-13500\n",
+      "Configuration saved in test_trainer/checkpoint-13500/config.json\n",
+      "Model weights saved in test_trainer/checkpoint-13500/pytorch_model.bin\n",
+      "Saving model checkpoint to test_trainer/checkpoint-14000\n",
+      "Configuration saved in test_trainer/checkpoint-14000/config.json\n",
+      "Model weights saved in test_trainer/checkpoint-14000/pytorch_model.bin\n",
+      "Saving model checkpoint to test_trainer/checkpoint-14500\n",
+      "Configuration saved in test_trainer/checkpoint-14500/config.json\n",
+      "Model weights saved in test_trainer/checkpoint-14500/pytorch_model.bin\n",
+      "Saving model checkpoint to test_trainer/checkpoint-15000\n",
+      "Configuration saved in test_trainer/checkpoint-15000/config.json\n",
+      "Model weights saved in test_trainer/checkpoint-15000/pytorch_model.bin\n",
+      "\n",
+      "\n",
+      "Training completed. Do not forget to share your model on huggingface.co/models =)\n",
+      "\n",
+      "\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "TrainOutput(global_step=15000, training_loss=0.10941998901367188, metrics={'train_runtime': 1918.0916, 'train_samples_per_second': 62.562, 'train_steps_per_second': 7.82, 'total_flos': 3.24994775580672e+16, 'train_loss': 0.10941998901367188, 'epoch': 3.0})"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 9
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [],
+   "outputs": [],
+   "metadata": {}
+  }
+ ],
+ "metadata": {
+  "orig_nbformat": 4,
+  "language_info": {
+   "name": "python",
+   "version": "3.8.6",
+   "mimetype": "text/x-python",
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "pygments_lexer": "ipython3",
+   "nbconvert_exporter": "python",
+   "file_extension": ".py"
+  },
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.8.6 64-bit"
+  },
+  "interpreter": {
+   "hash": "c8daecebaf2d81430b8373e4b4af380b12df116248cd1bbadd3fc947f45a1f88"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 61d16b4..3491944 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,53 +1,37 @@
 [[package]]
-name = "altair"
-version = "4.1.0"
-description = "Altair: A declarative statistical visualization library for Python."
+name = "aiohttp"
+version = "3.7.4.post0"
+description = "Async http client/server framework (asyncio)"
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-entrypoints = "*"
-jinja2 = "*"
-jsonschema = "*"
-numpy = "*"
-pandas = ">=0.18"
-toolz = "*"
+async-timeout = ">=3.0,<4.0"
+attrs = ">=17.3.0"
+chardet = ">=2.0,<5.0"
+multidict = ">=4.5,<7.0"
+typing-extensions = ">=3.6.5"
+yarl = ">=1.0,<2.0"
 
 [package.extras]
-dev = ["black", "docutils", "ipython", "flake8", "pytest", "sphinx", "m2r", "vega-datasets", "recommonmark"]
+speedups = ["aiodns", "brotlipy", "cchardet"]
 
 [[package]]
 name = "appnope"
 version = "0.1.2"
 description = "Disable App Nap on macOS >= 10.9"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
 [[package]]
-name = "argon2-cffi"
-version = "21.1.0"
-description = "The secure Argon2 password hashing algorithm."
+name = "async-timeout"
+version = "3.0.1"
+description = "Timeout context manager for asyncio programs"
 category = "main"
 optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-cffi = ">=1.0.0"
-
-[package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "furo", "wheel", "pre-commit"]
-docs = ["sphinx", "furo"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
-
-[[package]]
-name = "astor"
-version = "0.8.1"
-description = "Read/rewrite/write Python ASTs"
-category = "main"
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+python-versions = ">=3.5.3"
 
 [[package]]
 name = "attrs"
@@ -67,50 +51,10 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>
 name = "backcall"
 version = "0.2.0"
 description = "Specifications for callback functions passed in to an API"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "base58"
-version = "2.1.0"
-description = "Base58 and Base58Check implementation."
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-tests = ["pytest (>=4.6)", "pytest-flake8", "pytest-cov", "PyHamcrest (>=2.0.2)", "coveralls", "pytest-benchmark"]
-
-[[package]]
-name = "bleach"
-version = "4.1.0"
-description = "An easy safelist-based HTML-sanitizing tool."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-packaging = "*"
-six = ">=1.9.0"
-webencodings = "*"
-
-[[package]]
-name = "blinker"
-version = "1.4"
-description = "Fast, simple object-to-object and broadcast signaling"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "cachetools"
-version = "4.2.2"
-description = "Extensible memoizing collections and decorators"
-category = "main"
-optional = false
-python-versions = "~=3.5"
-
 [[package]]
 name = "certifi"
 version = "2021.5.30"
@@ -123,13 +67,21 @@ python-versions = "*"
 name = "cffi"
 version = "1.14.6"
 description = "Foreign Function Interface for Python calling C code."
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
 pycparser = "*"
 
+[[package]]
+name = "chardet"
+version = "4.0.0"
+description = "Universal encoding detector for Python 2 and 3"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
 [[package]]
 name = "charset-normalizer"
 version = "2.0.4"
@@ -143,11 +95,14 @@ unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
-version = "7.1.2"
+version = "8.0.1"
 description = "Composable command line interface toolkit"
-category = "main"
+category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "colorama"
@@ -158,21 +113,50 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
-name = "cycler"
-version = "0.10.0"
-description = "Composable style cycles"
+name = "datasets"
+version = "1.11.1.dev0"
+description = ""
 category = "main"
 optional = false
 python-versions = "*"
+develop = false
 
 [package.dependencies]
-six = "*"
+aiohttp = "*"
+dill = "*"
+fsspec = {version = ">=2021.05.0", extras = ["http"]}
+huggingface_hub = ">=0.0.14,<0.1.0"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=1.0.0,<4.0.0 || >4.0.0"
+requests = ">=2.19.0"
+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+tensorflow = ["tensorflow (>=2.2.0)"]
+tensorflow_gpu = ["tensorflow-gpu (>=2.2.0)"]
+torch = ["torch"]
+s3 = ["fsspec", "boto3", "botocore", "s3fs"]
+tests = ["absl-py", "pytest", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu", "fsspec", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3)", "torch", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests_file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)"]
+quality = ["black (==21.4b0)", "flake8 (==3.7.9)", "isort", "pyyaml (>=5.3.1)"]
+benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
+docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec", "s3fs"]
+
+[package.source]
+type = "git"
+url = "https://github.com/huggingface/datasets.git"
+reference = "master"
+resolved_reference = "9a2dff69289dd50fe19ac47d77da223908b7e9aa"
 
 [[package]]
 name = "debugpy"
 version = "1.4.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
 
@@ -180,48 +164,87 @@ python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
 name = "decorator"
 version = "5.0.9"
 description = "Decorators for Humans"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
 [[package]]
-name = "defusedxml"
-version = "0.7.1"
-description = "XML bomb protection for Python stdlib modules"
+name = "dill"
+version = "0.3.4"
+description = "serialize all of python"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=2.7, !=3.0.*"
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "entrypoints"
 version = "0.3"
 description = "Discover and load entry points from installed packages."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7"
 
 [[package]]
-name = "gitdb"
-version = "4.0.7"
-description = "Git Object Database"
+name = "filelock"
+version = "3.0.12"
+description = "A platform independent file lock."
 category = "main"
 optional = false
-python-versions = ">=3.4"
-
-[package.dependencies]
-smmap = ">=3.0.1,<5"
+python-versions = "*"
 
 [[package]]
-name = "gitpython"
-version = "3.1.20"
-description = "Python Git Library"
+name = "fsspec"
+version = "2021.8.1"
+description = "File-system specification"
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-gitdb = ">=4.0.1,<5"
-typing-extensions = {version = ">=3.7.4.3", markers = "python_version < \"3.10\""}
+aiohttp = {version = "*", optional = true, markers = "extra == \"http\""}
+requests = {version = "*", optional = true, markers = "extra == \"http\""}
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+dask = ["dask", "distributed"]
+dropbox = ["dropboxdrivefs", "requests", "dropbox"]
+entrypoints = ["importlib-metadata"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+hdfs = ["pyarrow (>=1)"]
+http = ["requests", "aiohttp"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+
+[[package]]
+name = "huggingface-hub"
+version = "0.0.16"
+description = "Client library to download and publish models on the huggingface.co hub"
+category = "main"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.dependencies]
+filelock = "*"
+packaging = ">=20.9"
+requests = "*"
+tqdm = "*"
+typing-extensions = "*"
+
+[package.extras]
+all = ["pytest", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
+dev = ["pytest", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
+quality = ["black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
+testing = ["pytest"]
+torch = ["torch"]
 
 [[package]]
 name = "idna"
@@ -235,7 +258,7 @@ python-versions = ">=3.5"
 name = "ipykernel"
 version = "6.3.1"
 description = "IPython Kernel for Jupyter"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
@@ -256,7 +279,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "ipyparallel"]
 name = "ipython"
 version = "7.27.0"
 description = "IPython: Productive Interactive Computing"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
@@ -288,34 +311,15 @@ test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipyk
 name = "ipython-genutils"
 version = "0.2.0"
 description = "Vestigial utilities from IPython"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "ipywidgets"
-version = "7.6.3"
-description = "IPython HTML widgets for Jupyter"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-ipykernel = ">=4.5.1"
-ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""}
-jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""}
-nbformat = ">=4.2.0"
-traitlets = ">=4.3.1"
-widgetsnbextension = ">=3.5.0,<3.6.0"
-
-[package.extras]
-test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
-
 [[package]]
 name = "jedi"
 version = "0.18.0"
 description = "An autocompletion tool for Python that can be used for text editors."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -327,41 +331,18 @@ qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
 testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
 
 [[package]]
-name = "jinja2"
-version = "3.0.1"
-description = "A very fast and expressive template engine."
-category = "main"
+name = "joblib"
+version = "1.0.1"
+description = "Lightweight pipelining with Python functions"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
-[package.dependencies]
-MarkupSafe = ">=2.0"
-
-[package.extras]
-i18n = ["Babel (>=2.7)"]
-
-[[package]]
-name = "jsonschema"
-version = "3.2.0"
-description = "An implementation of JSON Schema validation for Python"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-attrs = ">=17.4.0"
-pyrsistent = ">=0.14.0"
-six = ">=1.11.0"
-
-[package.extras]
-format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
-format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"]
-
 [[package]]
 name = "jupyter-client"
 version = "7.0.2"
 description = "Jupyter protocol implementation and client libraries"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.1"
 
@@ -382,7 +363,7 @@ test = ["codecov", "coverage", "ipykernel", "ipython", "mock", "mypy", "pre-comm
 name = "jupyter-core"
 version = "4.7.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -390,30 +371,11 @@ python-versions = ">=3.6"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
 traitlets = "*"
 
-[[package]]
-name = "jupyterlab-pygments"
-version = "0.1.2"
-description = "Pygments theme using JupyterLab CSS variables"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-pygments = ">=2.4.1,<3"
-
-[[package]]
-name = "jupyterlab-widgets"
-version = "1.0.0"
-description = "A JupyterLab extension."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "kaggle"
 version = "1.5.12"
 description = "Kaggle API"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -426,43 +388,11 @@ six = ">=1.10"
 tqdm = "*"
 urllib3 = "*"
 
-[[package]]
-name = "kiwisolver"
-version = "1.3.2"
-description = "A fast implementation of the Cassowary constraint solver"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[[package]]
-name = "markupsafe"
-version = "2.0.1"
-description = "Safely add untrusted strings to HTML/XML markup."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[[package]]
-name = "matplotlib"
-version = "3.4.3"
-description = "Python plotting package"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-cycler = ">=0.10"
-kiwisolver = ">=1.0.1"
-numpy = ">=1.16"
-pillow = ">=6.2.0"
-pyparsing = ">=2.2.1"
-python-dateutil = ">=2.7"
-
 [[package]]
 name = "matplotlib-inline"
-version = "0.1.2"
+version = "0.1.3"
 description = "Inline Matplotlib backend for Jupyter"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
@@ -470,117 +400,32 @@ python-versions = ">=3.5"
 traitlets = "*"
 
 [[package]]
-name = "mistune"
-version = "0.8.4"
-description = "The fastest markdown parser in pure Python"
+name = "multidict"
+version = "5.1.0"
+description = "multidict implementation"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "multiprocess"
+version = "0.70.12.2"
+description = "better multiprocessing and multithreading in python"
 category = "main"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "nbclient"
-version = "0.5.4"
-description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
-category = "main"
-optional = false
-python-versions = ">=3.6.1"
-
 [package.dependencies]
-jupyter-client = ">=6.1.5"
-nbformat = ">=5.0"
-nest-asyncio = "*"
-traitlets = ">=4.2"
-
-[package.extras]
-dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
-sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
-test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
-
-[[package]]
-name = "nbconvert"
-version = "6.1.0"
-description = "Converting Jupyter Notebooks"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-bleach = "*"
-defusedxml = "*"
-entrypoints = ">=0.2.2"
-jinja2 = ">=2.4"
-jupyter-core = "*"
-jupyterlab-pygments = "*"
-mistune = ">=0.8.1,<2"
-nbclient = ">=0.5.0,<0.6.0"
-nbformat = ">=4.4"
-pandocfilters = ">=1.4.1"
-pygments = ">=2.4.1"
-testpath = "*"
-traitlets = ">=5.0"
-
-[package.extras]
-all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
-docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
-serve = ["tornado (>=4.0)"]
-test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)"]
-webpdf = ["pyppeteer (==0.2.2)"]
-
-[[package]]
-name = "nbformat"
-version = "5.1.3"
-description = "The Jupyter Notebook format"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-ipython-genutils = "*"
-jsonschema = ">=2.4,<2.5.0 || >2.5.0"
-jupyter-core = "*"
-traitlets = ">=4.1"
-
-[package.extras]
-fast = ["fastjsonschema"]
-test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
+dill = ">=0.3.4"
 
 [[package]]
 name = "nest-asyncio"
 version = "1.5.1"
 description = "Patch asyncio to allow nested event loops"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
-[[package]]
-name = "notebook"
-version = "6.4.3"
-description = "A web-based notebook environment for interactive computing"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-argon2-cffi = "*"
-ipykernel = "*"
-ipython-genutils = "*"
-jinja2 = "*"
-jupyter-client = ">=5.3.4"
-jupyter-core = ">=4.6.1"
-nbconvert = "*"
-nbformat = "*"
-prometheus-client = "*"
-pyzmq = ">=17"
-Send2Trash = ">=1.5.0"
-terminado = ">=0.8.3"
-tornado = ">=6.1"
-traitlets = ">=4.2.1"
-
-[package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
-json-logging = ["json-logging"]
-test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
-
 [[package]]
 name = "numpy"
 version = "1.21.1"
@@ -616,19 +461,11 @@ pytz = ">=2017.3"
 [package.extras]
 test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
 
-[[package]]
-name = "pandocfilters"
-version = "1.4.3"
-description = "Utilities for writing pandoc filters in python"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
 [[package]]
 name = "parso"
 version = "0.8.2"
 description = "A Python Parser"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -640,7 +477,7 @@ testing = ["docopt", "pytest (<6.0.0)"]
 name = "pexpect"
 version = "4.8.0"
 description = "Pexpect allows easy control of interactive console applications."
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -651,68 +488,26 @@ ptyprocess = ">=0.5"
 name = "pickleshare"
 version = "0.7.5"
 description = "Tiny 'shelve'-like database with concurrency support"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "pillow"
-version = "8.3.1"
-description = "Python Imaging Library (Fork)"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[[package]]
-name = "plotly"
-version = "5.3.0"
-description = "An open-source, interactive data visualization library for Python"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-six = "*"
-tenacity = ">=6.2.0"
-
-[[package]]
-name = "prometheus-client"
-version = "0.11.0"
-description = "Python client for the Prometheus monitoring system."
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.extras]
-twisted = ["twisted"]
-
 [[package]]
 name = "prompt-toolkit"
 version = "3.0.20"
 description = "Library for building powerful interactive command lines in Python"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.2"
 
 [package.dependencies]
 wcwidth = "*"
 
-[[package]]
-name = "protobuf"
-version = "3.17.3"
-description = "Protocol Buffers"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = ">=1.9"
-
 [[package]]
 name = "ptyprocess"
 version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -720,7 +515,7 @@ python-versions = "*"
 name = "py"
 version = "1.10.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
@@ -739,33 +534,15 @@ numpy = ">=1.16.6"
 name = "pycparser"
 version = "2.20"
 description = "C parser in Python"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
-[[package]]
-name = "pydeck"
-version = "0.7.0"
-description = "Widget for deck.gl maps"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-ipykernel = {version = ">=5.1.2", markers = "python_version >= \"3.4\""}
-ipywidgets = ">=7.0.0"
-jinja2 = ">=2.10.1"
-numpy = ">=1.16.4"
-traitlets = ">=4.3.2"
-
-[package.extras]
-testing = ["pytest"]
-
 [[package]]
 name = "pygments"
 version = "2.10.0"
 description = "Pygments is a syntax highlighting package written in Python."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
@@ -773,7 +550,7 @@ python-versions = ">=3.5"
 name = "pymongo"
 version = "3.12.0"
 description = "Python driver for MongoDB <http://www.mongodb.org>"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -795,14 +572,6 @@ category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
-[[package]]
-name = "pyrsistent"
-version = "0.18.0"
-description = "Persistent/Functional/Immutable data structures"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "python-dateutil"
 version = "2.8.2"
@@ -818,7 +587,7 @@ six = ">=1.5"
 name = "python-slugify"
 version = "5.0.2"
 description = "A Python Slugify application that handles Unicode"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -840,23 +609,23 @@ python-versions = "*"
 name = "pywin32"
 version = "301"
 description = "Python for Window Extensions"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
 [[package]]
-name = "pywinpty"
-version = "1.1.3"
-description = "Pseudo terminal support for Windows from Python."
-category = "main"
+name = "pyyaml"
+version = "5.4.1"
+description = "YAML parser and emitter for Python"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [[package]]
 name = "pyzmq"
 version = "22.2.1"
 description = "Python bindings for 0MQ"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -864,6 +633,14 @@ python-versions = ">=3.6"
 cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 py = {version = "*", markers = "implementation_name == \"pypy\""}
 
+[[package]]
+name = "regex"
+version = "2021.8.28"
+description = "Alternative regular expression module, to replace re."
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "requests"
 version = "2.26.0"
@@ -883,17 +660,19 @@ socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
 
 [[package]]
-name = "send2trash"
-version = "1.8.0"
-description = "Send file to trash natively under Mac OS X, Windows and Linux."
-category = "main"
+name = "sacremoses"
+version = "0.0.45"
+description = "SacreMoses"
+category = "dev"
 optional = false
 python-versions = "*"
 
-[package.extras]
-nativelib = ["pyobjc-framework-cocoa", "pywin32"]
-objc = ["pyobjc-framework-cocoa"]
-win32 = ["pywin32"]
+[package.dependencies]
+click = "*"
+joblib = "*"
+regex = "*"
+six = "*"
+tqdm = "*"
 
 [[package]]
 name = "six"
@@ -903,113 +682,41 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
-[[package]]
-name = "smmap"
-version = "4.0.0"
-description = "A pure Python implementation of a sliding window memory map manager"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[[package]]
-name = "streamlit"
-version = "0.87.0"
-description = "The fastest way to build data apps in Python"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-altair = ">=3.2.0"
-astor = "*"
-attrs = "*"
-base58 = "*"
-blinker = "*"
-cachetools = ">=4.0"
-click = ">=7.0,<8.0"
-gitpython = "!=3.1.19"
-numpy = "*"
-packaging = "*"
-pandas = ">=0.21.0"
-pillow = ">=6.2.0"
-protobuf = ">=3.6.0,<3.11 || >3.11"
-pyarrow = "*"
-pydeck = ">=0.1.dev5"
-python-dateutil = "*"
-requests = "*"
-toml = "*"
-tornado = ">=5.0"
-tzlocal = "*"
-validators = "*"
-watchdog = {version = "*", markers = "platform_system != \"Darwin\""}
-
-[[package]]
-name = "tenacity"
-version = "8.0.1"
-description = "Retry code until it succeeds"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
-
-[[package]]
-name = "terminado"
-version = "0.11.1"
-description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
-tornado = ">=4"
-
-[package.extras]
-test = ["pytest"]
-
-[[package]]
-name = "testpath"
-version = "0.5.0"
-description = "Test utilities for code working with files and commands"
-category = "main"
-optional = false
-python-versions = ">= 3.5"
-
-[package.extras]
-test = ["pytest", "pathlib2"]
-
 [[package]]
 name = "text-unidecode"
 version = "1.3"
 description = "The most basic Text::Unidecode port"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
 [[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-category = "main"
+name = "tokenizers"
+version = "0.10.3"
+description = "Fast and Customizable Tokenizers"
+category = "dev"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "*"
+
+[package.extras]
+testing = ["pytest"]
 
 [[package]]
-name = "toolz"
-version = "0.11.1"
-description = "List processing tools and functional utilities"
-category = "main"
+name = "torch"
+version = "1.9.0"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+typing-extensions = "*"
 
 [[package]]
 name = "tornado"
 version = "6.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">= 3.5"
 
@@ -1033,13 +740,69 @@ telegram = ["requests"]
 name = "traitlets"
 version = "5.1.0"
 description = "Traitlets Python configuration system"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "transformers"
+version = "4.10.0"
+description = "State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch"
+category = "dev"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.dependencies]
+filelock = "*"
+huggingface-hub = ">=0.0.12"
+numpy = ">=1.17"
+packaging = "*"
+pyyaml = ">=5.1"
+regex = "!=2019.12.17"
+requests = "*"
+sacremoses = "*"
+tokenizers = ">=0.10.1,<0.11"
+tqdm = ">=4.27"
+
+[package.extras]
+all = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (==0.1.91)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "soundfile", "pillow", "optuna", "ray", "timm", "codecarbon (==1.2.0)"]
+audio = ["soundfile"]
+codecarbon = ["codecarbon (==1.2.0)"]
+deepspeed = ["deepspeed (>=0.5.1)"]
+dev = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (==0.1.91)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "soundfile", "pillow", "optuna", "ray", "timm", "codecarbon (==1.2.0)", "pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (==21.4b0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "docutils (==0.16.0)", "recommonmark", "sphinx (==3.5.4)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinx-copybutton", "sphinxext-opengraph (==0.4.1)", "sphinx-intl", "scikit-learn"]
+docs = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (==0.1.91)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "soundfile", "pillow", "optuna", "ray", "timm", "codecarbon (==1.2.0)", "docutils (==0.16.0)", "recommonmark", "sphinx (==3.5.4)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinx-copybutton", "sphinxext-opengraph (==0.4.1)", "sphinx-intl"]
+docs_specific = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.5.4)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinx-copybutton", "sphinxext-opengraph (==0.4.1)", "sphinx-intl"]
+fairscale = ["fairscale (>0.3)"]
+flax = ["jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)"]
+flax-speech = ["soundfile"]
+integrations = ["optuna", "ray"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)"]
+modelcreation = ["cookiecutter (==1.7.2)"]
+onnx = ["onnxconverter-common", "keras2onnx", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+optuna = ["optuna"]
+quality = ["black (==21.4b0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
+ray = ["ray"]
+retrieval = ["faiss-cpu", "datasets"]
+sagemaker = ["sagemaker (>=2.31.0)"]
+sentencepiece = ["sentencepiece (==0.1.91)", "protobuf"]
+serving = ["pydantic", "uvicorn", "fastapi", "starlette"]
+sklearn = ["scikit-learn"]
+speech = ["torchaudio", "soundfile"]
+testing = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (==21.4b0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)"]
+tf = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx"]
+tf-cpu = ["tensorflow-cpu (>=2.3)", "onnxconverter-common", "keras2onnx"]
+tf-speech = ["soundfile"]
+timm = ["timm"]
+tokenizers = ["tokenizers (>=0.10.1,<0.11)"]
+torch = ["torch (>=1.0)"]
+torch-speech = ["torchaudio", "soundfile"]
+torchhub = ["filelock", "huggingface-hub (>=0.0.12)", "importlib-metadata", "numpy (>=1.17)", "packaging", "protobuf", "regex (!=2019.12.17)", "requests", "sacremoses", "sentencepiece (==0.1.91)", "torch (>=1.0)", "tokenizers (>=0.10.1,<0.11)", "tqdm (>=4.27)"]
+vision = ["pillow"]
+
 [[package]]
 name = "typing-extensions"
 version = "3.10.0.2"
@@ -1048,28 +811,6 @@ category = "main"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "tzdata"
-version = "2021.1"
-description = "Provider of IANA time zone data"
-category = "main"
-optional = false
-python-versions = ">=2"
-
-[[package]]
-name = "tzlocal"
-version = "3.0"
-description = "tzinfo object for the local timezone"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-tzdata = {version = "*", markers = "platform_system == \"Windows\""}
-
-[package.extras]
-test = ["pytest-mock (>=3.3)", "pytest (>=4.3)"]
-
 [[package]]
 name = "urllib3"
 version = "1.26.6"
@@ -1083,58 +824,21 @@ brotli = ["brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
-[[package]]
-name = "validators"
-version = "0.18.2"
-description = "Python Data Validation for Humans™."
-category = "main"
-optional = false
-python-versions = ">=3.4"
-
-[package.dependencies]
-decorator = ">=3.4.0"
-six = ">=1.4.0"
-
-[package.extras]
-test = ["pytest (>=2.2.3)", "flake8 (>=2.4.0)", "isort (>=4.2.2)"]
-
-[[package]]
-name = "watchdog"
-version = "2.1.5"
-description = "Filesystem events monitoring"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-watchmedo = ["PyYAML (>=3.10)", "argh (>=0.24.1)"]
-
 [[package]]
 name = "wcwidth"
 version = "0.2.5"
 description = "Measures the displayed width of unicode strings in a terminal"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
 [[package]]
-name = "webencodings"
-version = "0.5.1"
-description = "Character encoding aliases for legacy web content"
+name = "xxhash"
+version = "2.0.2"
+description = "Python binding for xxHash"
 category = "main"
 optional = false
-python-versions = "*"
-
-[[package]]
-name = "widgetsnbextension"
-version = "3.5.1"
-description = "IPython HTML widgets for Jupyter"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-notebook = ">=4.4.1"
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "yapf"
@@ -1144,36 +848,70 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "yarl"
+version = "1.6.3"
+description = "Yet another URL library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
 [metadata]
 lock-version = "1.1"
-python-versions = "^3.9"
-content-hash = "06c209f92b3d933908124afd34d07171f6746883dbd66a33a4e95e02a9ee1381"
+python-versions = "^3.8"
+content-hash = "cc05371d7be07cf592f8c5321daf980bbcd724ef80f1b74b4257259748af2252"
 
 [metadata.files]
-altair = [
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+aiohttp = [
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diff --git a/pyproject.toml b/pyproject.toml
index 3577eff..7c03410 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,22 +1,23 @@
 [tool.poetry]
-name = "sensai"
+name = "sensai-dataset"
 version = "1.0.0"
 description = "Toxic Live Chat Dataset"
 authors = ["Yasuaki Uechi <y@uechi.io>"]
 
 [tool.poetry.dependencies]
-python = "^3.9"
-kaggle = "^1.5.12"
-numpy = "^1.21.0"
-pandas = "^1.2.3"
-pymongo = "^3.11.3"
-python-dateutil = "^2.8.1"
-altair = "^4.1.0"
-matplotlib = "^3.4.2"
-streamlit = "^0.87.0"
-plotly = "^5.0.0"
+python = "^3.8"
+datasets = {git = "https://github.com/huggingface/datasets.git", rev = "master"}
+#datasets = "^1.11.0"
+pyarrow = "^5.0.0"
 
 [tool.poetry.dev-dependencies]
+pymongo = "^3.11.3"
+transformers = "^4.10.0"
+torch = "^1.9.0"
+tokenizers = "^0.10.3"
+kaggle = "^1.5.12"
+pandas = "^1.2.3"
+python-dateutil = "^2.8.1"
 ipykernel = "^6.2.0"
 yapf = "^0.31.0"
 
diff --git a/sensai/__init__.py b/sensai_dataset/__init__.py
similarity index 100%
rename from sensai/__init__.py
rename to sensai_dataset/__init__.py
diff --git a/sensai_dataset/dataset.py b/sensai_dataset/dataset.py
new file mode 100644
index 0000000..660ad96
--- /dev/null
+++ b/sensai_dataset/dataset.py
@@ -0,0 +1,13 @@
+from datasets.features import ClassLabel, Features, Value
+from datasets.load import load_dataset
+
+
+def load_sensai_dataset():
+    dataset = load_dataset(
+        "holodata/sensai",
+        features=Features({
+            "body": Value("string"),
+            "toxic": ClassLabel(num_classes=2, names=['0', '1'])
+        }))
+    dataset = dataset['train']
+    return dataset
diff --git a/sensai_dataset/generator/__init__.py b/sensai_dataset/generator/__init__.py
new file mode 100644
index 0000000..50af6df
--- /dev/null
+++ b/sensai_dataset/generator/__init__.py
@@ -0,0 +1,16 @@
+import argparse
+
+from sensai_dataset.generator.commands import generate_dataset
+from sensai_dataset.generator.constants import DATASET_DIR, DATASET_SOURCE_DIR
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='dataset generator')
+    parser.add_argument('-m', '--matcher', type=str, default='chats_*.csv')
+    args = parser.parse_args()
+
+    print('target: ' + DATASET_DIR)
+    print('source: ' + DATASET_SOURCE_DIR)
+
+    generate_dataset(source_dir=DATASET_SOURCE_DIR,
+                     target_dir=DATASET_DIR,
+                     matcher=args.matcher)
diff --git a/sensai_dataset/generator/commands.py b/sensai_dataset/generator/commands.py
new file mode 100644
index 0000000..b912bbd
--- /dev/null
+++ b/sensai_dataset/generator/commands.py
@@ -0,0 +1,91 @@
+import gc
+from glob import iglob
+from os.path import basename, join, splitext
+
+import pandas as pd
+
+
+def generate_dataset(source_dir, target_dir, matcher):
+    print('[generate_sensai_dataset]')
+
+    delet_path = join(source_dir, 'deletion_events.csv')
+    del_events = pd.read_csv(delet_path, usecols=['id', 'retracted'])
+    del_events = del_events.query('retracted == 0').copy()
+    del_events.drop(columns=['retracted'], inplace=True)
+    del_events['label'] = 'toxic'
+
+    ban_path = join(source_dir, 'ban_events.csv')
+    ban_events = pd.read_csv(ban_path, usecols=['authorChannelId', 'videoId'])
+    ban_events['label'] = 'spam'
+
+    for f in sorted(iglob(join(source_dir, matcher))):
+        period_string = splitext(basename(f))[0].split('_')[1]
+        print('>>> Period:', period_string)
+
+        # load chat
+        print('>>> Loading chats')
+        chat_path = join(source_dir, 'chats_' + period_string + '.csv')
+
+        chats = pd.read_csv(chat_path,
+                            na_values='',
+                            keep_default_na=False,
+                            usecols=[
+                                'authorChannelId',
+                                'videoId',
+                                'id',
+                                'body',
+                            ])
+
+        # remove NA
+        chats = chats[chats['body'].notna()]
+
+        # apply mods
+        print('>>> Merging bans')
+        chats = pd.merge(chats,
+                         ban_events,
+                         on=['authorChannelId', 'videoId'],
+                         how='left')
+
+        # apply mods
+        print('>>> Merging deletion')
+        chats = pd.merge(chats, del_events, on='id', how='left')
+
+        # fill NA label
+        chats['label'].fillna('safe', inplace=True)
+
+        isFlagged = chats['label'] != 'safe'
+        flagged = chats[isFlagged].copy()
+
+        # to make balanced dataset
+        nbFlagged = flagged.shape[0]
+        if nbFlagged == 0:
+            continue
+
+        print('>>> Sampling nonflagged chats')
+        print('nbFlagged', nbFlagged)
+        nonflag = chats[~isFlagged].sample(nbFlagged)
+
+        print('>>> Writing dataset')
+
+        # NOTE: do not use categorical type with to_parquest. otherwise, it will be failed to load them with huggingface's Dataset
+        columns_to_delete = [
+            'authorChannelId',
+            'videoId',
+            'id',
+        ]
+
+        flagged.drop(columns=columns_to_delete, inplace=True)
+        flagged.to_parquet(join(target_dir,
+                                f'chats_flagged_{period_string}.parquet'),
+                           index=False)
+
+        nonflag.drop(columns=columns_to_delete, inplace=True)
+        nonflag.to_parquet(join(target_dir,
+                                f'chats_nonflag_{period_string}.parquet'),
+                           index=False)
+
+        # free up memory
+        del nonflag
+        del flagged
+        del chats
+        gc.collect()
diff --git a/sensai_gen/constants.py b/sensai_dataset/generator/constants.py
similarity index 75%
rename from sensai_gen/constants.py
rename to sensai_dataset/generator/constants.py
index 04bddd1..42c35a9 100644
--- a/sensai_gen/constants.py
+++ b/sensai_dataset/generator/constants.py
@@ -4,4 +4,4 @@ DATASET_DIR = os.environ['DATASET_DIR']
 DATASET_SOURCE_DIR = os.environ['DATASET_SOURCE_DIR']
 
 os.makedirs(DATASET_DIR, exist_ok=True)
-os.makedirs(DATASET_SOURCE_DIR, exist_ok=True)
\ No newline at end of file
+os.makedirs(DATASET_SOURCE_DIR, exist_ok=True)
diff --git a/sensai_gen/__init__.py b/sensai_gen/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/sensai_gen/cli.py b/sensai_gen/cli.py
deleted file mode 100644
index f46087c..0000000
--- a/sensai_gen/cli.py
+++ /dev/null
@@ -1,123 +0,0 @@
-import gc
-from glob import iglob
-import argparse
-import shutil
-from os.path import basename, join, splitext
-
-import numpy as np
-import pandas as pd
-
-from sensai_gen.constants import DATASET_DIR, DATASET_SOURCE_DIR
-
-
-def load_channels(**kwargs):
-    dtype_dict = {
-        'channelId': 'category',
-        'name': 'category',
-        'englishName': 'category',
-        'affiliation': 'category',
-        'group': 'category',
-        'subscriptionCount': 'int32',
-        'videoCount': 'int32',
-        'photo': 'category'
-    }
-    channels = pd.read_csv(join(DATASET_SOURCE_DIR, 'channels.csv'),
-                           dtype=dtype_dict,
-                           **kwargs)
-    return channels
-
-
-def generate_dataset(matcher):
-    print('[generate_sensai_dataset]')
-
-    delet_path = join(DATASET_SOURCE_DIR, 'deletion_events.csv')
-    del_events = pd.read_csv(delet_path, usecols=['id', 'retracted'])
-    del_events = del_events.query('retracted == 0').copy()
-    del_events.drop(columns=['retracted'], inplace=True)
-    del_events['deleted'] = True
-
-    ban_path = join(DATASET_SOURCE_DIR, 'ban_events.csv')
-    ban_events = pd.read_csv(ban_path, usecols=['authorChannelId', 'videoId'])
-    ban_events['banned'] = True
-
-    for f in sorted(iglob(join(DATASET_SOURCE_DIR, matcher))):
-        period_string = splitext(basename(f))[0].split('_')[1]
-        print('>>> Period:', period_string)
-
-        columns_to_use = [
-            'body',
-            'authorChannelId',
-            'channelId',
-            'membership',
-            'id',
-            'videoId',
-        ]
-        columns_to_delete = [
-            'id',
-            'videoId',
-            'deleted',
-            'banned',
-        ]
-
-        # load chat
-        print('>>> Loading chats')
-        chat_path = join(DATASET_SOURCE_DIR, 'chats_' + period_string + '.csv')
-        chat_dtype = {
-            'authorChannelId': 'category',
-            'membership': 'category',
-            'videoId': 'category',
-            'channelId': 'category'
-        }
-        chats = pd.read_csv(chat_path, dtype=chat_dtype, usecols=columns_to_use)
-
-        # apply mods
-        print('>>> Merging deletion')
-        chats = pd.merge(chats, del_events, on='id', how='left')
-        chats['deleted'].fillna(False, inplace=True)
-
-        # apply mods
-        print('>>> Merging bans')
-        chats = pd.merge(chats,
-                         ban_events,
-                         on=['authorChannelId', 'videoId'],
-                         how='left')
-        chats['banned'].fillna(False, inplace=True)
-
-        flagged = chats[(chats['deleted'] | chats['banned'])].copy()
-
-        # to make balanced dataset
-        nbFlagged = flagged.shape[0]
-        if nbFlagged == 0:
-            continue
-
-        print('>>> Sampling nonflagged chats')
-        print('nbFlagged', nbFlagged)
-        nonflag = chats[~(chats['deleted'] | chats['banned'])].sample(nbFlagged)
-
-        print('>>> Writing dataset')
-
-        flagged.drop(columns=columns_to_delete, inplace=True)
-        flagged.to_csv(join(DATASET_DIR, f'chats_flagged_{period_string}.csv'),
-                       index=False)
-        nonflag.drop(columns=columns_to_delete, inplace=True)
-        nonflag.to_csv(join(DATASET_DIR, f'chats_nonflag_{period_string}.csv'),
-                       index=False)
-
-        # free up memory
-        del nonflag
-        del flagged
-        del chats
-        gc.collect()
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(description='dataset generator')
-    parser.add_argument('-m', '--matcher', type=str, default='chats_*.csv')
-    args = parser.parse_args()
-
-    print('target: ' + DATASET_DIR)
-    print('source: ' + DATASET_SOURCE_DIR)
-
-    shutil.copy(join(DATASET_SOURCE_DIR, 'channels.csv'), DATASET_DIR)
-
-    generate_dataset(matcher=args.matcher)