詳細モード追加
Browse files- .gitignore +5 -1
- app.py +1105 -148
- run.py +1105 -146
.gitignore
CHANGED
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@@ -165,4 +165,8 @@ user_annotation/*
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run.py
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backup.py
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huggingface_dataset.txt
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-
note.txt
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run.py
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backup.py
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huggingface_dataset.txt
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+
note.txt
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+
type/
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+
claude/
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+
app_backup.py
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+
run copy.py
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app.py
CHANGED
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@@ -26,14 +26,14 @@ else:
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print("Warning: HF_TOKEN not found. Please set it in your Space secrets.")
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# HFデータセット アップロード先
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# (
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-
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"team-hatakeyama-phase2/annotation_tanuki_phase2",
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"kevineen/Tanuki-Phase2-annotation-dataset", # 出力テスト
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]
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# アノテーション対象データセット
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-
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"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
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"hatakeyama-llm-team/AutoGeneratedJapaneseQA-other",
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"kanhatakeyama/ChatbotArenaJaMixtral8x22b",
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@@ -44,9 +44,11 @@ annotation_dataset_list = [
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# "hatakeyama-llm-team/WikiBookJa",
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# "kanhatakeyama/AutoWikiQA",
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# "susumuota/SyntheticTextWikiTranslate-askllm-v1", # Ask-LLM 翻訳
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]
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-
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# マルチターン 未対応
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"kanhatakeyama/AutoMultiTurnByMixtral8x22b",
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]
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@@ -58,58 +60,151 @@ is_selected_dataset = gr.State(False)
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is_loaded_dataset = gr.State(False)
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# 選択中のデータセットリスト
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dropdown_dataset_list = gr.State(value=
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# 現在の対象データセット 初期値は"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
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select_dropdown_dataset = gr.State(dropdown_dataset_list.value[0])
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select_dataset = gr.State(None) # 現在のデータセット
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select_dataset_total_len = gr.State(0) # 現在のデータセットの長さ
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select_idx = gr.State(0) # 現在のインデックス (ランダムモードにするなら不要？
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random_mode = gr.State(False)
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# 回答者がアノテーションしたデータセット
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annotated_dataset = gr.State(
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pd.DataFrame({
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'dataset_name': [],
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'dataset_id': [],
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'who': [],
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'
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'
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'
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'
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'is_proofreading_1': [],
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'answer_text_1': [],
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'is_proofreading_2': [], #
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'answer_text_2': [], #
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})
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)
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-
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initial_answer_text_2 = gr.State("") # 回答2を整形したかチェック用
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is_dataset_loaded = gr.State(False)
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you_dataset_id = gr.State(0) # 回答者がアノテーションしているデータのID
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dataset_name = gr.State("") # 編集に使用したデータセット名
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dataset_id = gr.State(0) # 加工元データセットのindex
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who = gr.State("") # アノテーション者名
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good = gr.State(False) # 良
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bad = gr.State(False) # 悪
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-
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-
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is_proofreading_1 = gr.State(False) # 回答1を整形したか_1
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answer_text_1 = gr.State("") # answer_1 回答
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is_proofreading_2 = gr.State(False) # 回答2を整形したか_2
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answer_text_2 = gr.State("") # answer_2 回答
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-
#
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#
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def dataset_load_fn() -> Tuple[
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str,
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str,
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str,
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str,
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gr.update,
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gr.update,
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gr.update,
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@@ -118,9 +213,12 @@ def dataset_load_fn() -> Tuple[
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gr.update,
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gr.update,
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gr.update,
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gr.update
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is_dataset_loaded.value = False #
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select_dataset.value = load_dataset(
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select_dropdown_dataset.value
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@@ -129,6 +227,7 @@ def dataset_load_fn() -> Tuple[
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# DatasetオブジェクトをPandas DataFrameに変換
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df = select_dataset.value["train"].to_pandas()
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# index列を追加し、シャッフル
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df = df.reset_index(drop=False) # 元のindexを保持
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df = df.sample(frac=1).reset_index(drop=True) # シャッフル
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select_dataset_total_len.value = len(df) # 長さを取得
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is_dataset_loaded.value = True # ロード完了
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#
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initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
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initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
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@@ -146,6 +245,39 @@ def dataset_load_fn() -> Tuple[
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df.iloc[select_idx.value]["answer"], \
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df.iloc[select_idx.value]["question"], \
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df.iloc[select_idx.value]["answer"], \
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gr.update(interactive=True), \
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gr.update(interactive=True), \
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gr.update(interactive=True), \
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@@ -164,7 +296,7 @@ annotation_file = Path("user_annotation/") / f"data_{uuid.uuid4()}.json"
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annotated_folder = annotation_file.parent
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scheduler = CommitScheduler(
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repo_id=
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repo_type="dataset",
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folder_path=annotated_folder,
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path_in_repo="data", # Spaceの場合の保存先フォルダー
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@@ -172,19 +304,58 @@ scheduler = CommitScheduler(
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every=5, # 5分毎にアップロード HuggingFAce_Documentの最低推奨値
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)
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# CommitScheduler (HFへのデータアップロード
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def save_annotation(
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dataset_name: str,
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dataset_id: int,
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who: str,
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good: bool,
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bad: bool,
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unknown_quality: bool,
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score: int,
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is_proofreading_1: bool,
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answer_text_1: str,
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is_proofreading_2: bool,
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answer_text_2: str
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annotated_dataset.value = pd.concat([
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annotated_dataset.value,
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@@ -192,33 +363,82 @@ def save_annotation(
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'dataset_name': [dataset_name],
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'dataset_id': [dataset_id],
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'who': [who],
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'good': [good],
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'bad': [bad],
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'unknown_quality': [unknown_quality],
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'score': [score],
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'is_proofreading_1': [is_proofreading_1],
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"answer_text_1": [answer_text_1],
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'is_proofreading_2': [is_proofreading_2],
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'answer_text_2': [answer_text_2]
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})], ignore_index=True).reset_index(drop=True)
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# 書き込み
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with scheduler.lock:
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with annotation_file.open("a", encoding='utf-8') as f:
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data_to_write = {
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# "id": , CommitScheduler
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"datetime": str(datetime.datetime.now().isoformat()),
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"dataset_name": dataset_name,
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"dataset_id": int(dataset_id),
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"who": who,
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"good": good,
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"bad": bad,
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"unknown_quality": unknown_quality, # 新しいデータフィールドを追加
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"score": score,
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"is_proofreading_1": is_proofreading_1,
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"answer_text_1": answer_text_1,
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"is_proofreading_2": is_proofreading_2,
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"answer_text_2": answer_text_2,
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}
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f.write(json.dumps(data_to_write, ensure_ascii=False))
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f.write("\n")
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# ユーザー名表示
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-
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def hello(profile: gr.OAuthProfile | None) -> Tuple[str, str]:
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if profile is None:
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return "プライベートデータセット取得のためにログインしてください。", who.value
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theme_ = gr.themes.Default()
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# 後のCSSデザイン変更用
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def load_css():
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with open("style.css", "r") as file:
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css_content = file.read()
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return css_content
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-
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# Gradio 画面 ============================================
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with gr.Blocks(theme=theme_, css=load_css()) as demo:
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gr.Markdown("# データセット アノテーション for Tanuki (Phase2)")
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-
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with gr.Tab("アノテーション (シングルターン)"):
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-
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gr.LoginButton(value="HuggingFace ログイン",
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-
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-
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# ユーザー名
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gr_profile_name = gr.Markdown()
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demo.load(hello, inputs=None, outputs=[gr_profile_name, who])
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with gr.Row():
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gr_data_load_btn = gr.Button("② データセットを読み込む")
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with gr.Column() as content_column:
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with gr.Tab("③ シンプル(良・悪)"):
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with gr.Column():
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with gr.Row(equal_height=True):
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-
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-
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"分からない", interactive=False) # 「分からない」ボタンを追加
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-
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-
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label="質問: ", lines=5, interactive=False)
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-
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label="回答:
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lines=20,
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interactive=
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-
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label="質問: ", lines=5, interactive=False)
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gr_score_3 = gr.Button("3: 普通", interactive=False)
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gr_score_2 = gr.Button("2: 悪い", interactive=False)
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gr_score_1 = gr.Button("1: 低品質", interactive=False)
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| 321 |
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| 322 |
# 5段階評価ボタンのクリックイベントを定義
|
| 323 |
def score_button_clicked(button_value):
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|
| 324 |
good.value = False
|
| 325 |
bad.value = False
|
| 326 |
-
unknown_quality.value = False
|
| 327 |
-
score.value = button_value
|
| 328 |
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|
| 329 |
-
gr_data_load_btn.click(
|
| 330 |
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dataset_load_fn,
|
| 331 |
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inputs=None,
|
| 332 |
-
outputs=[gr_question_text_1,
|
| 333 |
-
gr_answer_text_1,
|
| 334 |
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gr_question_text_3,
|
| 335 |
-
gr_answer_text_3,
|
| 336 |
-
good_btn,
|
| 337 |
-
unknown_btn, # 「分からない」ボタンを追加
|
| 338 |
-
bad_btn,
|
| 339 |
-
gr_score_1,
|
| 340 |
-
gr_score_2,
|
| 341 |
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gr_score_3,
|
| 342 |
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gr_score_4,
|
| 343 |
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gr_score_5,
|
| 344 |
-
]
|
| 345 |
-
)
|
| 346 |
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| 347 |
def update_annotation(
|
| 348 |
input_ans_1: str = None,
|
| 349 |
-
|
| 350 |
is_good: bool = None, # good/bad を表すフラグを追加
|
| 351 |
is_unknown: bool = None, # 「分からない」を表すフラグを追加
|
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|
| 352 |
score_value: int = None # 5段階評価の値、good/badの場合はNone
|
| 353 |
-
) -> Tuple[
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|
| 354 |
|
| 355 |
# good/bad/unknown と score の状態を更新
|
| 356 |
update_evaluation_state(is_good, is_unknown, score_value)
|
| 357 |
|
| 358 |
# 変更を検知 (5段階評価の場合も処理するように変更)
|
| 359 |
-
update_answer_state(input_ans_1,
|
| 360 |
-
|
| 361 |
# 表示更新
|
| 362 |
# indexを進める
|
| 363 |
select_idx.value += 1
|
|
@@ -367,19 +873,31 @@ with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
|
| 367 |
# ループさせるか、エラー処理を行う
|
| 368 |
if select_idx.value >= len(df):
|
| 369 |
select_idx.value = 0
|
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|
| 370 |
|
| 371 |
# データセットに追加
|
| 372 |
-
# 元のindex番号(dataset_id)を指定して保存
|
| 373 |
save_annotation_data(df)
|
| 374 |
|
| 375 |
# Nextデータ初期化
|
| 376 |
initialize_next_data(df)
|
|
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|
| 377 |
|
| 378 |
return gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 379 |
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 380 |
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 381 |
-
gr.update(value=df.iloc[select_idx.value]["answer"])
|
|
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|
| 382 |
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|
| 383 |
def update_evaluation_state(is_good, is_unknown, score_value):
|
| 384 |
if score_value is not None: # 5段階評価の場合
|
| 385 |
good.value = False
|
|
@@ -391,100 +909,539 @@ with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
|
| 391 |
bad.value = not is_good if not is_unknown else False
|
| 392 |
unknown_quality.value = is_unknown # 「分からない」の状態を設定
|
| 393 |
|
| 394 |
-
|
|
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|
| 395 |
if input_ans_1 is not None and initial_answer_text_1.value != input_ans_1:
|
| 396 |
is_proofreading_1.value = True
|
| 397 |
answer_text_1.value = input_ans_1
|
| 398 |
else:
|
| 399 |
answer_text_1.value = ""
|
| 400 |
|
| 401 |
-
|
|
|
|
| 402 |
is_proofreading_2.value = True
|
| 403 |
-
answer_text_2.value =
|
| 404 |
else:
|
| 405 |
answer_text_2.value = ""
|
| 406 |
|
|
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|
| 407 |
def save_annotation_data(df):
|
| 408 |
save_annotation(
|
| 409 |
select_dropdown_dataset.value,
|
| 410 |
# datasetIdは元のindex番号を使用
|
| 411 |
df.iloc[select_idx.value]['index'],
|
| 412 |
who.value,
|
|
|
|
| 413 |
good.value,
|
| 414 |
bad.value,
|
| 415 |
-
unknown_quality.value, # 「分からない」の状態を追加
|
| 416 |
-
score.value,
|
| 417 |
is_proofreading_1.value,
|
| 418 |
answer_text_1.value,
|
| 419 |
is_proofreading_2.value,
|
| 420 |
-
answer_text_2.value
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| 421 |
)
|
| 422 |
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|
| 423 |
def initialize_next_data(df):
|
| 424 |
is_proofreading_1.value = False
|
| 425 |
is_proofreading_2.value = False
|
| 426 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 427 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 428 |
-
|
| 429 |
-
|
| 430 |
-
|
| 431 |
-
|
| 432 |
-
good_btn.click(
|
| 433 |
-
good_click,
|
| 434 |
-
inputs=[
|
| 435 |
-
gr_answer_text_1,
|
| 436 |
-
gr_answer_text_3
|
| 437 |
-
],
|
| 438 |
-
outputs=[gr_question_text_1,
|
| 439 |
-
gr_answer_text_1,
|
| 440 |
-
gr_question_text_3,
|
| 441 |
-
gr_answer_text_3]
|
| 442 |
-
)
|
| 443 |
-
|
| 444 |
-
def unknown_click(input_ans_1, input_ans_3):
|
| 445 |
good.value = False
|
| 446 |
bad.value = False
|
| 447 |
-
|
| 448 |
-
|
| 449 |
-
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|
| 450 |
unknown_click,
|
| 451 |
inputs=[
|
| 452 |
-
|
| 453 |
-
|
| 454 |
],
|
| 455 |
-
outputs=[
|
| 456 |
-
|
| 457 |
-
|
| 458 |
-
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| 459 |
)
|
| 460 |
|
| 461 |
-
|
| 462 |
-
|
| 463 |
-
|
| 464 |
-
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| 465 |
bad_click,
|
| 466 |
inputs=[
|
| 467 |
-
|
| 468 |
-
|
| 469 |
],
|
| 470 |
-
outputs=[
|
| 471 |
-
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| 472 |
-
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| 473 |
-
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| 474 |
)
|
| 475 |
|
| 476 |
# 5段階評価ボタンのクリックイベント
|
| 477 |
-
|
| 478 |
-
|
| 479 |
-
|
| 480 |
-
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| 481 |
-
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| 488 |
# TODO Tab切り替えで、アノテ済みの一覧を表示する
|
| 489 |
# with gr.Tab("アノテ済みデータセット(管理画面)"):
|
| 490 |
# タブを切り替えた時にデータ表示を更新する
|
|
|
|
| 26 |
print("Warning: HF_TOKEN not found. Please set it in your Space secrets.")
|
| 27 |
|
| 28 |
# HFデータセット アップロード先
|
| 29 |
+
# (切り替えてテストする用に配列)
|
| 30 |
+
OUTPUT_DATASET = [
|
| 31 |
"team-hatakeyama-phase2/annotation_tanuki_phase2",
|
| 32 |
"kevineen/Tanuki-Phase2-annotation-dataset", # 出力テスト
|
| 33 |
]
|
| 34 |
|
| 35 |
# アノテーション対象データセット
|
| 36 |
+
ANNOTATION_DATASET = [
|
| 37 |
"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
|
| 38 |
"hatakeyama-llm-team/AutoGeneratedJapaneseQA-other",
|
| 39 |
"kanhatakeyama/ChatbotArenaJaMixtral8x22b",
|
|
|
|
| 44 |
# "hatakeyama-llm-team/WikiBookJa",
|
| 45 |
# "kanhatakeyama/AutoWikiQA",
|
| 46 |
# "susumuota/SyntheticTextWikiTranslate-askllm-v1", # Ask-LLM 翻訳
|
| 47 |
+
|
| 48 |
+
# Nomotron データ (将来用
|
| 49 |
]
|
| 50 |
|
| 51 |
+
MULTITURN_ANNOTATION_DATASET = [
|
| 52 |
# マルチターン 未対応
|
| 53 |
"kanhatakeyama/AutoMultiTurnByMixtral8x22b",
|
| 54 |
]
|
|
|
|
| 60 |
is_loaded_dataset = gr.State(False)
|
| 61 |
|
| 62 |
# 選択中のデータセットリスト
|
| 63 |
+
dropdown_dataset_list = gr.State(value=ANNOTATION_DATASET)
|
| 64 |
+
|
| 65 |
# 現在の対象データセット 初期値は"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
|
| 66 |
select_dropdown_dataset = gr.State(dropdown_dataset_list.value[0])
|
| 67 |
select_dataset = gr.State(None) # 現在のデータセット
|
| 68 |
select_dataset_total_len = gr.State(0) # 現在のデータセットの長さ
|
| 69 |
select_idx = gr.State(0) # 現在のインデックス (ランダムモードにするなら不要？
|
| 70 |
+
# random_mode = gr.State(False) # ランダムモード
|
| 71 |
|
| 72 |
# 回答者がアノテーションしたデータセット
|
| 73 |
annotated_dataset = gr.State(
|
| 74 |
pd.DataFrame({
|
| 75 |
+
'dataset_name': [], # 対象データセット
|
| 76 |
+
'dataset_id': [], # データセットindex
|
| 77 |
+
'who': [], # アノテーション者名
|
| 78 |
+
'unknown_quality': [], # 不明能
|
| 79 |
+
'good': [], # 良
|
| 80 |
+
'bad': [], # 悪
|
| 81 |
+
'is_proofreading_1': [], # テキストに修正があったか
|
|
|
|
| 82 |
'answer_text_1': [],
|
| 83 |
+
'is_proofreading_2': [], # 2ターン目用
|
| 84 |
+
'answer_text_2': [], # 2ターン目用
|
| 85 |
+
|
| 86 |
+
# 5段階評価
|
| 87 |
+
'score': [], # 総合 (5段階評価)
|
| 88 |
+
'helphulness': [], # 有用性 (5段階評価)
|
| 89 |
+
'correcthness': [], # 正確さ (5段階評価)
|
| 90 |
+
'coherence': [], # 一貫性 (5段階評価)
|
| 91 |
+
'complexity': [], # 複雑さ (5段階評価)
|
| 92 |
+
'verbosity': [], # 冗長性 (5段階評価)
|
| 93 |
+
'humor': [], # ユーモア (SteerLM)
|
| 94 |
+
'creativity': [], # 創造性 (SteerLM)
|
| 95 |
+
'appropriate': [], # 適切性 (SteerLMでは不適)
|
| 96 |
+
'following_instructions': [], # 指示が合った場合、従っているか (SteerLMのfails_taskに該当)
|
| 97 |
+
'politeness': [], # 礼儀正しさ (minnadechat)
|
| 98 |
+
'harmfulness': [], # 有性 (minnadechat)
|
| 99 |
+
|
| 100 |
+
# 0: 分からない(未設定) 1: 無 2: 有
|
| 101 |
+
'typos': [], # 誤字脱字 (minnadechat)
|
| 102 |
+
'hate': [], # ヘイト
|
| 103 |
+
'sexual': [], # 性的
|
| 104 |
+
'violence': [], # 暴力
|
| 105 |
+
'suicide': [], # 自殺
|
| 106 |
+
'threat': [], # 犯罪
|
| 107 |
+
'gun': [], # 重火器
|
| 108 |
+
'controlled_substance': [], # 規制対象物質
|
| 109 |
+
'climinal_planing': [], # 犯罪計画
|
| 110 |
+
'privacy': [], # 個人情報
|
| 111 |
+
'harassment': [], # ハラスメント
|
| 112 |
+
'profanity': [], # 冒涜
|
| 113 |
+
'political_content': [], # 政治的内容 (SteerLM)
|
| 114 |
+
'moral_judgement': [], # 非道徳 (SteerLM)
|
| 115 |
})
|
| 116 |
)
|
| 117 |
|
| 118 |
+
is_dataset_loaded = gr.State(False) # データセットロード状態
|
|
|
|
|
|
|
|
|
|
| 119 |
|
| 120 |
you_dataset_id = gr.State(0) # 回答者がアノテーションしているデータのID
|
| 121 |
dataset_name = gr.State("") # 編集に使用したデータセット名
|
| 122 |
dataset_id = gr.State(0) # 加工元データセットのindex
|
| 123 |
who = gr.State("") # アノテーション者名
|
| 124 |
+
|
| 125 |
+
# シンプルモード
|
| 126 |
+
unknown_quality = gr.State(False) # 分からない(未設定)
|
| 127 |
good = gr.State(False) # 良
|
| 128 |
bad = gr.State(False) # 悪
|
| 129 |
+
|
| 130 |
+
initial_answer_text_1 = gr.State("") # 回��1を整形したかチェック用
|
| 131 |
+
initial_answer_text_2 = gr.State("") # 回答2を整形したかチェック用
|
| 132 |
+
|
| 133 |
is_proofreading_1 = gr.State(False) # 回答1を整形したか_1
|
| 134 |
answer_text_1 = gr.State("") # answer_1 回答
|
| 135 |
is_proofreading_2 = gr.State(False) # 回答2を整形したか_2
|
| 136 |
answer_text_2 = gr.State("") # answer_2 回答
|
| 137 |
|
| 138 |
+
# (5段階評価)
|
| 139 |
+
# 0は判断していない、又は判断が難しいという特徴量にする
|
| 140 |
+
score = gr.State(3) # 総合スコア 初期値は3 (最低限必須)
|
| 141 |
+
helphulness = gr.State(0) # 有用性
|
| 142 |
+
correcthness = gr.State(0) # 正確さ
|
| 143 |
+
coherenece = gr.State(0) # 一貫性
|
| 144 |
+
complexity = gr.State(0) # 複雑さ
|
| 145 |
+
verbosity = gr.State(0) # 冗長性
|
| 146 |
+
humor = gr.State(0) # ユーモア (SteerLM)
|
| 147 |
+
creativity = gr.State(0) # 創造性 (SteerLM)
|
| 148 |
+
appropriate = gr.State(0) # 適切性 (SteerLMではnot_appropriate)
|
| 149 |
+
following_instructions = gr.State(0) # 指示への忠実度 (SteerLMのfails_task)
|
| 150 |
+
politeness = gr.State(0) # 礼儀正しさ (minnadechat)
|
| 151 |
+
harmfulness = gr.State(0) # 有度 (minnadechat)
|
| 152 |
+
|
| 153 |
+
# (有無評価)
|
| 154 |
+
# 0は判断していない、又は判断が難しいという特徴量にする
|
| 155 |
+
hate = gr.State(0) # ヘイト
|
| 156 |
+
sexual = gr.State(0) # 性的
|
| 157 |
+
violence = gr.State(0) # 暴力
|
| 158 |
+
suicide = gr.State(0) # 自殺
|
| 159 |
+
threat = gr.State(0) # 犯罪
|
| 160 |
+
gun = gr.State(0) # 銃・重火器
|
| 161 |
+
controlled_substance = gr.State(0) # 規制対象物質
|
| 162 |
+
climinal_planing = gr.State(0) # 犯罪計画
|
| 163 |
+
privacy = gr.State(0) # 個人情報・プライバシー情報
|
| 164 |
+
harassment = gr.State(0) # ハラスメント
|
| 165 |
+
profanity = gr.State(0) # 冒涜
|
| 166 |
+
political_content = gr.State(0) # 政治的内容 (SteerLM)
|
| 167 |
+
moral_judgement = gr.State(0) # 非道徳 (SteerLM)
|
| 168 |
+
typos = gr.State(0) # 誤字脱字(minnadechat)
|
| 169 |
+
|
| 170 |
+
# 未整理 ========================================
|
| 171 |
+
|
| 172 |
+
# データセット読み込み
|
| 173 |
def dataset_load_fn() -> Tuple[
|
| 174 |
str,
|
| 175 |
str,
|
| 176 |
str,
|
| 177 |
str,
|
| 178 |
+
str,
|
| 179 |
+
str,
|
| 180 |
+
gr.update,
|
| 181 |
+
gr.update,
|
| 182 |
+
gr.update,
|
| 183 |
+
gr.update,
|
| 184 |
+
gr.update,
|
| 185 |
+
gr.update,
|
| 186 |
+
gr.update,
|
| 187 |
+
gr.update,
|
| 188 |
+
gr.update,
|
| 189 |
+
gr.update,
|
| 190 |
+
gr.update,
|
| 191 |
+
gr.update,
|
| 192 |
+
gr.update,
|
| 193 |
+
gr.update,
|
| 194 |
+
gr.update,
|
| 195 |
+
gr.update,
|
| 196 |
+
gr.update,
|
| 197 |
+
gr.update,
|
| 198 |
+
gr.update,
|
| 199 |
+
gr.update,
|
| 200 |
+
gr.update,
|
| 201 |
+
gr.update,
|
| 202 |
+
gr.update,
|
| 203 |
+
gr.update,
|
| 204 |
+
gr.update,
|
| 205 |
+
gr.update,
|
| 206 |
+
gr.update,
|
| 207 |
+
gr.update,
|
| 208 |
gr.update,
|
| 209 |
gr.update,
|
| 210 |
gr.update,
|
|
|
|
| 213 |
gr.update,
|
| 214 |
gr.update,
|
| 215 |
gr.update,
|
| 216 |
+
gr.update,
|
| 217 |
+
gr.update,
|
| 218 |
+
gr.update,
|
| 219 |
+
]:
|
| 220 |
|
| 221 |
+
is_dataset_loaded.value = False # ロード状態初期化
|
| 222 |
|
| 223 |
select_dataset.value = load_dataset(
|
| 224 |
select_dropdown_dataset.value
|
|
|
|
| 227 |
# DatasetオブジェクトをPandas DataFrameに変換
|
| 228 |
df = select_dataset.value["train"].to_pandas()
|
| 229 |
|
| 230 |
+
# ランダム化実施
|
| 231 |
# index列を追加し、シャッフル
|
| 232 |
df = df.reset_index(drop=False) # 元のindexを保持
|
| 233 |
df = df.sample(frac=1).reset_index(drop=True) # シャッフル
|
|
|
|
| 237 |
select_dataset_total_len.value = len(df) # 長さを取得
|
| 238 |
is_dataset_loaded.value = True # ロード完了
|
| 239 |
|
| 240 |
+
# データロード時にテキストの初期値を設定
|
| 241 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 242 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 243 |
|
|
|
|
| 245 |
df.iloc[select_idx.value]["answer"], \
|
| 246 |
df.iloc[select_idx.value]["question"], \
|
| 247 |
df.iloc[select_idx.value]["answer"], \
|
| 248 |
+
df.iloc[select_idx.value]["question"], \
|
| 249 |
+
df.iloc[select_idx.value]["answer"], \
|
| 250 |
+
gr.update(interactive=True), \
|
| 251 |
+
gr.update(interactive=True), \
|
| 252 |
+
gr.update(interactive=True), \
|
| 253 |
+
gr.update(interactive=True), \
|
| 254 |
+
gr.update(interactive=True), \
|
| 255 |
+
gr.update(interactive=True), \
|
| 256 |
+
gr.update(interactive=True), \
|
| 257 |
+
gr.update(interactive=True), \
|
| 258 |
+
gr.update(interactive=True), \
|
| 259 |
+
gr.update(interactive=True), \
|
| 260 |
+
gr.update(interactive=True), \
|
| 261 |
+
gr.update(interactive=True), \
|
| 262 |
+
gr.update(interactive=True), \
|
| 263 |
+
gr.update(interactive=True), \
|
| 264 |
+
gr.update(interactive=True), \
|
| 265 |
+
gr.update(interactive=True), \
|
| 266 |
+
gr.update(interactive=True), \
|
| 267 |
+
gr.update(interactive=True), \
|
| 268 |
+
gr.update(interactive=True), \
|
| 269 |
+
gr.update(interactive=True), \
|
| 270 |
+
gr.update(interactive=True), \
|
| 271 |
+
gr.update(interactive=True), \
|
| 272 |
+
gr.update(interactive=True), \
|
| 273 |
+
gr.update(interactive=True), \
|
| 274 |
+
gr.update(interactive=True), \
|
| 275 |
+
gr.update(interactive=True), \
|
| 276 |
+
gr.update(interactive=True), \
|
| 277 |
+
gr.update(interactive=True), \
|
| 278 |
+
gr.update(interactive=True), \
|
| 279 |
+
gr.update(interactive=True), \
|
| 280 |
+
gr.update(interactive=True), \
|
| 281 |
gr.update(interactive=True), \
|
| 282 |
gr.update(interactive=True), \
|
| 283 |
gr.update(interactive=True), \
|
|
|
|
| 296 |
annotated_folder = annotation_file.parent
|
| 297 |
|
| 298 |
scheduler = CommitScheduler(
|
| 299 |
+
repo_id=OUTPUT_DATASET[1],
|
| 300 |
repo_type="dataset",
|
| 301 |
folder_path=annotated_folder,
|
| 302 |
path_in_repo="data", # Spaceの場合の保存先フォルダー
|
|
|
|
| 304 |
every=5, # 5分毎にアップロード HuggingFAce_Documentの最低推奨値
|
| 305 |
)
|
| 306 |
|
| 307 |
+
# チェックボックスをintに変換
|
| 308 |
+
def checkbox_to_int(checkbox_value) -> int:
|
| 309 |
+
if checkbox_value == "不明":
|
| 310 |
+
output = 0
|
| 311 |
+
elif checkbox_value == "有":
|
| 312 |
+
output = 1
|
| 313 |
+
elif checkbox_value == "無":
|
| 314 |
+
output = 2
|
| 315 |
+
else :
|
| 316 |
+
output = 0
|
| 317 |
+
print("error: ")
|
| 318 |
+
return output
|
| 319 |
+
|
| 320 |
# CommitScheduler (HFへのデータアップロード
|
| 321 |
def save_annotation(
|
| 322 |
dataset_name: str,
|
| 323 |
dataset_id: int,
|
| 324 |
who: str,
|
| 325 |
+
unknown_quality: bool,
|
| 326 |
good: bool,
|
| 327 |
bad: bool,
|
|
|
|
|
|
|
| 328 |
is_proofreading_1: bool,
|
| 329 |
answer_text_1: str,
|
| 330 |
is_proofreading_2: bool,
|
| 331 |
+
answer_text_2: str,
|
| 332 |
+
score: int,
|
| 333 |
+
helphulness: int,
|
| 334 |
+
correcthness: int,
|
| 335 |
+
coherence: int,
|
| 336 |
+
complexity: int,
|
| 337 |
+
verbosity: int,
|
| 338 |
+
humor: int,
|
| 339 |
+
creativity: int,
|
| 340 |
+
appropriate: int,
|
| 341 |
+
following_instructions: int,
|
| 342 |
+
politeness: int,
|
| 343 |
+
harmfulness: int,
|
| 344 |
+
hate: int,
|
| 345 |
+
sexual: int,
|
| 346 |
+
violence: int,
|
| 347 |
+
suicide: int,
|
| 348 |
+
threat: int,
|
| 349 |
+
gun: int,
|
| 350 |
+
controlled_substance: int,
|
| 351 |
+
climinal_planing: int,
|
| 352 |
+
privacy: int,
|
| 353 |
+
harassment: int,
|
| 354 |
+
profanity: int,
|
| 355 |
+
political_content: int,
|
| 356 |
+
moral_judgement: int,
|
| 357 |
+
typos: int,
|
| 358 |
+
) -> None:
|
| 359 |
|
| 360 |
annotated_dataset.value = pd.concat([
|
| 361 |
annotated_dataset.value,
|
|
|
|
| 363 |
'dataset_name': [dataset_name],
|
| 364 |
'dataset_id': [dataset_id],
|
| 365 |
'who': [who],
|
| 366 |
+
'unknown_quality': [unknown_quality],
|
| 367 |
'good': [good],
|
| 368 |
'bad': [bad],
|
|
|
|
|
|
|
| 369 |
'is_proofreading_1': [is_proofreading_1],
|
| 370 |
"answer_text_1": [answer_text_1],
|
| 371 |
'is_proofreading_2': [is_proofreading_2],
|
| 372 |
+
'answer_text_2': [answer_text_2],
|
| 373 |
+
'score': [score],
|
| 374 |
+
'helphullness': [helphulness],
|
| 375 |
+
'correcthness': [correcthness],
|
| 376 |
+
'complexity': [complexity],
|
| 377 |
+
'verbosity': [verbosity],
|
| 378 |
+
'humor': [humor],
|
| 379 |
+
'creativity': [creativity],
|
| 380 |
+
'appropriate': [appropriate],
|
| 381 |
+
'following_finstructions': [following_instructions],
|
| 382 |
+
'politeness': [politeness],
|
| 383 |
+
'harmfulness': [harmfulness],
|
| 384 |
+
'hate': [hate],
|
| 385 |
+
'sextual': [sexual],
|
| 386 |
+
'violence': [violence],
|
| 387 |
+
'suicide': [suicide],
|
| 388 |
+
'threat': [threat],
|
| 389 |
+
'gun': [gun],
|
| 390 |
+
'controlled_substance': [controlled_substance],
|
| 391 |
+
'climinal_planing': [climinal_planing],
|
| 392 |
+
'privacy': [privacy],
|
| 393 |
+
'harassment': [harassment],
|
| 394 |
+
'profanity': [profanity],
|
| 395 |
+
'political_content': [political_content],
|
| 396 |
+
'moral_judgement': [moral_judgement],
|
| 397 |
+
'types': [typos]
|
| 398 |
})], ignore_index=True).reset_index(drop=True)
|
| 399 |
|
| 400 |
# 書き込み
|
| 401 |
with scheduler.lock:
|
| 402 |
with annotation_file.open("a", encoding='utf-8') as f:
|
| 403 |
data_to_write = {
|
| 404 |
+
# "id": , CommitSchedulerは、取得して末尾idを付与することが不可能？
|
| 405 |
"datetime": str(datetime.datetime.now().isoformat()),
|
| 406 |
"dataset_name": dataset_name,
|
| 407 |
"dataset_id": int(dataset_id),
|
| 408 |
"who": who,
|
| 409 |
+
"unknown_quality": unknown_quality,
|
| 410 |
"good": good,
|
| 411 |
"bad": bad,
|
|
|
|
|
|
|
| 412 |
"is_proofreading_1": is_proofreading_1,
|
| 413 |
"answer_text_1": answer_text_1,
|
| 414 |
"is_proofreading_2": is_proofreading_2,
|
| 415 |
"answer_text_2": answer_text_2,
|
| 416 |
+
"score": int(score),
|
| 417 |
+
"helphulness": int(helphulness),
|
| 418 |
+
"correcthness": int(correcthness),
|
| 419 |
+
"coherence": int(coherence),
|
| 420 |
+
"complexity": int(complexity),
|
| 421 |
+
"verbosity": int(verbosity),
|
| 422 |
+
"humor": int(humor),
|
| 423 |
+
"creativity": int(creativity),
|
| 424 |
+
"appropriate": int(appropriate),
|
| 425 |
+
"following_instructions": int(following_instructions),
|
| 426 |
+
"politeness": int(politeness),
|
| 427 |
+
"harmfulness": int(harmfulness),
|
| 428 |
+
"hate": int(hate),
|
| 429 |
+
"sexual": int(sexual),
|
| 430 |
+
"violence": int(violence),
|
| 431 |
+
"suicide": int(suicide),
|
| 432 |
+
"threat": int(threat),
|
| 433 |
+
"gun": int(gun),
|
| 434 |
+
"controlled_substance": int(controlled_substance),
|
| 435 |
+
"climinal_planing": int(climinal_planing),
|
| 436 |
+
"privacy": int(privacy),
|
| 437 |
+
"harassment": int(harassment),
|
| 438 |
+
"profanity": int(profanity),
|
| 439 |
+
"policital_content": int(political_content),
|
| 440 |
+
"moral_judgement": int(moral_judgement),
|
| 441 |
+
"typos": int(typos)
|
| 442 |
}
|
| 443 |
f.write(json.dumps(data_to_write, ensure_ascii=False))
|
| 444 |
f.write("\n")
|
|
|
|
| 450 |
|
| 451 |
# ユーザー名表示
|
| 452 |
|
|
|
|
| 453 |
def hello(profile: gr.OAuthProfile | None) -> Tuple[str, str]:
|
| 454 |
if profile is None:
|
| 455 |
return "プライベートデータセット取得のためにログインしてください。", who.value
|
|
|
|
| 461 |
theme_ = gr.themes.Default()
|
| 462 |
|
| 463 |
# 後のCSSデザイン変更用
|
|
|
|
|
|
|
| 464 |
def load_css():
|
| 465 |
with open("style.css", "r") as file:
|
| 466 |
css_content = file.read()
|
| 467 |
return css_content
|
| 468 |
|
|
|
|
| 469 |
# Gradio 画面 ============================================
|
| 470 |
with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
| 471 |
|
| 472 |
gr.Markdown("# データセット アノテーション for Tanuki (Phase2)")
|
| 473 |
+
|
| 474 |
+
with gr.Row():
|
| 475 |
+
gr.Markdown("### GENIACにて開発中のLLM用データセットに対してアノテーションするSpaceです\n \
|
| 476 |
+
入力されたデータは使用される可能性があるため、個人情報・秘匿情報などは入力しないでください。\n \
|
| 477 |
+
テスト中です。")
|
| 478 |
+
gr_who = gr.TextArea(value=who.value, lines=1, max_lines=1, label="ユーザー名 (入力してください)")
|
| 479 |
+
|
| 480 |
+
def change_name(name: str):
|
| 481 |
+
who.value = name
|
| 482 |
+
|
| 483 |
+
gr_who.change(
|
| 484 |
+
change_name,
|
| 485 |
+
inputs=[gr_who],
|
| 486 |
+
outputs=[]
|
| 487 |
+
)
|
| 488 |
|
| 489 |
with gr.Tab("アノテーション (シングルターン)"):
|
| 490 |
|
| 491 |
+
# HF login 機能
|
| 492 |
+
# with gr.Row(equal_height=True):
|
| 493 |
+
# gr.LoginButton(value="HuggingFace ログイン",
|
| 494 |
+
# logout_value="HuggingFace ログアウト", scale=1)
|
|
|
|
| 495 |
# ユーザー名
|
| 496 |
+
# gr_profile_name = gr.Markdown()
|
| 497 |
+
# demo.load(hello, inputs=None, outputs=[gr_profile_name, who])
|
| 498 |
|
| 499 |
with gr.Row():
|
| 500 |
|
|
|
|
| 517 |
gr_data_load_btn = gr.Button("② データセットを読み込む")
|
| 518 |
|
| 519 |
with gr.Column() as content_column:
|
| 520 |
+
|
| 521 |
with gr.Tab("③ シンプル(良・悪)"):
|
| 522 |
with gr.Column():
|
| 523 |
with gr.Row(equal_height=True):
|
| 524 |
+
gr_good_btn = gr.Button("良い", interactive=False)
|
| 525 |
+
gr_unknown_btn = gr.Button(
|
| 526 |
"分からない", interactive=False) # 「分からない」ボタンを追加
|
| 527 |
+
gr_bad_btn = gr.Button("悪い", interactive=False)
|
| 528 |
|
| 529 |
+
gr_question_text_1_1 = gr.Textbox(
|
| 530 |
label="質問: ", lines=5, interactive=False)
|
| 531 |
|
| 532 |
+
gr_answer_text_1_1 = gr.Textbox(
|
| 533 |
+
label="回答: 訂正して頂けると、品質が上がります。",
|
| 534 |
lines=20,
|
| 535 |
+
interactive=False)
|
| 536 |
+
|
| 537 |
+
with gr.Tab("③ ５段階評価(シンプル)"):
|
| 538 |
+
|
| 539 |
+
with gr.Row() as simple_score_btn:
|
| 540 |
+
gr_score_5_btn = gr.Button("5: 高品質", interactive=False)
|
| 541 |
+
gr_score_4_btn = gr.Button("4: 良い", interactive=False)
|
| 542 |
+
gr_score_3_btn = gr.Button("3: 普通", interactive=False)
|
| 543 |
+
gr_score_2_btn = gr.Button("2: 悪い", interactive=False)
|
| 544 |
+
gr_score_1_btn = gr.Button("1: 低品質", interactive=False)
|
| 545 |
+
|
| 546 |
+
gr_question_text_2_1 = gr.Textbox(
|
| 547 |
+
label="質問: ", lines=5, interactive=False)
|
| 548 |
|
| 549 |
+
gr_answer_text_2_1 = gr.Textbox(
|
| 550 |
+
label="回答: 訂正して頂けると、品質が上がります。", lines=20, interactive=False)
|
| 551 |
+
|
| 552 |
+
with gr.Tab("③ ５段階評価 (詳細)"):
|
| 553 |
+
|
| 554 |
+
with gr.Row():
|
| 555 |
+
|
| 556 |
+
with gr.Column() as EvalFive:
|
| 557 |
+
|
| 558 |
+
gr_question_text_3_1 = gr.Textbox(
|
| 559 |
+
label="質問: ", lines=10, interactive=False)
|
| 560 |
+
|
| 561 |
+
# gr_explain = gr.Markdown("回答")
|
| 562 |
+
|
| 563 |
+
gr_answer_text_3_1 = gr.Textbox(
|
| 564 |
+
label="回答: 訂正して頂けると、品質が上がります。", lines=35, interactive=False)
|
| 565 |
+
|
| 566 |
+
with gr.Column() as EvalFiveDetail:
|
| 567 |
+
|
| 568 |
+
with gr.Row():
|
| 569 |
+
gr_submit_score = gr.Button("評価送信", interactive=False)
|
| 570 |
+
gr_score_reset = gr.Button("スコアリセット", interactive=False)
|
| 571 |
+
|
| 572 |
+
gr_score_detail = gr.Slider(label="総合スコア 【必須】",value=3, minimum=1, maximum=5, step=1, interactive=False)
|
| 573 |
+
gr_evalannotation_explain = gr.Markdown("詳細アノテーション (5点満点)")
|
| 574 |
+
|
| 575 |
+
with gr.Row() :
|
| 576 |
+
gr_helphulness = gr.Slider(label="有用性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 577 |
+
gr_correcthness = gr.Slider(label="正確さ", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 578 |
+
gr_coherence = gr.Slider(label="一貫性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 579 |
+
gr_complexity = gr.Slider(label="複雑さ", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 580 |
+
|
| 581 |
+
with gr.Row() :
|
| 582 |
+
gr_verbosity = gr.Slider(label="冗長性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 583 |
+
gr_humor = gr.Slider(label="ユーモア", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 584 |
+
gr_creativity = gr.Slider(label="創造性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 585 |
+
gr_appropriate = gr.Slider(label="適切性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 586 |
+
|
| 587 |
+
with gr.Row() :
|
| 588 |
+
gr_following_instructions = gr.Slider(label="忠実性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 589 |
+
gr_politeness = gr.Slider(label="礼儀正しさ", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 590 |
+
gr_harmfulness = gr.Slider(label="有害性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 591 |
+
gr_text_4 = gr.Markdown("判断可能な物のみ\n\nスコアを付けてください。")
|
| 592 |
+
|
| 593 |
+
gr_text_5 = gr.Markdown("")
|
| 594 |
+
|
| 595 |
+
with gr.Row():
|
| 596 |
+
gr_typos = gr.Radio(label="誤字・脱字", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 597 |
+
gr_moral_judgement = gr.Radio(label="非道徳", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 598 |
+
|
| 599 |
+
with gr.Row():
|
| 600 |
+
gr_hate = gr.Radio(label="ヘイト", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 601 |
+
gr_sexual = gr.Radio(label="性的内容", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 602 |
+
|
| 603 |
+
with gr.Row():
|
| 604 |
+
gr_violence = gr.Radio(label="暴力的", choices=["不明", "有", "無"], value="不��", interactive=False)
|
| 605 |
+
gr_suicide = gr.Radio(label="自殺行為", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 606 |
+
|
| 607 |
+
with gr.Row():
|
| 608 |
+
gr_threat = gr.Radio(label="犯罪", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 609 |
+
gr_gun = gr.Radio(label="銃等", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 610 |
+
|
| 611 |
+
with gr.Row():
|
| 612 |
+
gr_controlled_substance = gr.Radio(label="規制対象物質", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 613 |
+
gr_climinal_planing = gr.Radio(label="犯罪計画", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 614 |
+
|
| 615 |
+
with gr.Row():
|
| 616 |
+
gr_privacy = gr.Radio(label="個人情報", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 617 |
+
gr_harassment = gr.Radio(label="ハラスメント", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 618 |
+
|
| 619 |
+
with gr.Row():
|
| 620 |
+
gr_profanity = gr.Radio(label="冒涜行為", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 621 |
+
gr_political_content = gr.Radio(label="政治的内容", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 622 |
+
|
| 623 |
+
|
| 624 |
+
# 5段階評価 詳細のgr.State Update
|
| 625 |
+
def eval_submit(
|
| 626 |
+
# text
|
| 627 |
+
g_answer_text_3_1: str,
|
| 628 |
+
|
| 629 |
+
# slicer
|
| 630 |
+
g_score: int,
|
| 631 |
+
g_helphulness: int,
|
| 632 |
+
g_correcthness: int,
|
| 633 |
+
g_coherenece: int,
|
| 634 |
+
g_complexity: int,
|
| 635 |
+
g_verbosity: int,
|
| 636 |
+
g_humor: int,
|
| 637 |
+
g_creativity: int,
|
| 638 |
+
g_appropriate: int,
|
| 639 |
+
g_following_instructions: int,
|
| 640 |
+
g_politeness: int,
|
| 641 |
+
g_harmfulness: int,
|
| 642 |
+
|
| 643 |
+
# checkbox
|
| 644 |
+
g_hate: str,
|
| 645 |
+
g_sexual: str,
|
| 646 |
+
g_violence: str,
|
| 647 |
+
g_suicide: str,
|
| 648 |
+
g_threat: str,
|
| 649 |
+
g_gun: str,
|
| 650 |
+
g_controlled_substance: str,
|
| 651 |
+
g_climinal_planing: str,
|
| 652 |
+
g_privacy: str,
|
| 653 |
+
g_harassment: str,
|
| 654 |
+
g_profanity: str,
|
| 655 |
+
g_political_content: str,
|
| 656 |
+
g_moral_judgement: str,
|
| 657 |
+
g_typos: str,
|
| 658 |
+
):
|
| 659 |
+
# 状態初期化
|
| 660 |
+
good.value = False
|
| 661 |
+
bad.value = False
|
| 662 |
+
unknown_quality.value = False
|
| 663 |
+
|
| 664 |
+
# テキストに更新があったかどうかチェック
|
| 665 |
+
if initial_answer_text_1.value != g_answer_text_3_1:
|
| 666 |
+
is_proofreading_1.value = True
|
| 667 |
+
answer_text_1.value = g_answer_text_3_1
|
| 668 |
+
else:
|
| 669 |
+
is_proofreading_1.value = False
|
| 670 |
+
answer_text_1.value = ""
|
| 671 |
+
|
| 672 |
+
# 送信用データ更新
|
| 673 |
+
score.value = g_score
|
| 674 |
+
helphulness.value = g_helphulness
|
| 675 |
+
correcthness.value = g_correcthness
|
| 676 |
+
coherenece.value = g_coherenece
|
| 677 |
+
complexity.value = g_complexity
|
| 678 |
+
verbosity.value = g_verbosity
|
| 679 |
+
humor.value = g_humor
|
| 680 |
+
creativity.value = g_creativity
|
| 681 |
+
appropriate.value = g_appropriate
|
| 682 |
+
following_instructions.value = g_following_instructions
|
| 683 |
+
politeness.value = g_politeness
|
| 684 |
+
harmfulness.value = g_harmfulness
|
| 685 |
+
|
| 686 |
+
hate.value = checkbox_to_int(g_hate)
|
| 687 |
+
sexual.value = checkbox_to_int(g_sexual)
|
| 688 |
+
violence.value = checkbox_to_int(g_violence)
|
| 689 |
+
suicide.value = checkbox_to_int(g_suicide)
|
| 690 |
+
threat.value = checkbox_to_int(g_threat)
|
| 691 |
+
gun.value = checkbox_to_int(g_gun)
|
| 692 |
+
controlled_substance.value = checkbox_to_int(g_controlled_substance)
|
| 693 |
+
climinal_planing.value = checkbox_to_int(g_climinal_planing)
|
| 694 |
+
privacy.value = checkbox_to_int(g_privacy)
|
| 695 |
+
harassment.value = checkbox_to_int(g_harassment)
|
| 696 |
+
profanity.value = checkbox_to_int(g_profanity)
|
| 697 |
+
political_content.value = checkbox_to_int(g_political_content)
|
| 698 |
+
moral_judgement.value = checkbox_to_int(g_moral_judgement)
|
| 699 |
+
typos.value = checkbox_to_int(g_typos)
|
| 700 |
+
|
| 701 |
+
# データ送信
|
| 702 |
+
|
| 703 |
+
# 表示更新
|
| 704 |
+
# indexを進める
|
| 705 |
+
select_idx.value += 1
|
| 706 |
|
| 707 |
+
df = select_dataset.value["train"]
|
|
|
|
| 708 |
|
| 709 |
+
# ループさせるか、エラー処理を行う
|
| 710 |
+
if select_idx.value >= len(df):
|
| 711 |
+
select_idx.value = 0
|
|
|
|
|
|
|
|
|
|
| 712 |
|
| 713 |
+
# データセットに追加
|
| 714 |
+
df = select_dataset.value["train"]
|
| 715 |
+
save_annotation(
|
| 716 |
+
select_dropdown_dataset.value,
|
| 717 |
+
df.iloc[select_idx.value]['index'],
|
| 718 |
+
who.value,
|
| 719 |
+
unknown_quality.value,
|
| 720 |
+
good.value,
|
| 721 |
+
bad.value,
|
| 722 |
+
is_proofreading_1.value,
|
| 723 |
+
answer_text_1.value,
|
| 724 |
+
is_proofreading_2.value,
|
| 725 |
+
answer_text_2.value,
|
| 726 |
+
score.value,
|
| 727 |
+
helphulness.value,
|
| 728 |
+
correcthness.value,
|
| 729 |
+
coherenece.value,
|
| 730 |
+
complexity.value,
|
| 731 |
+
verbosity.value,
|
| 732 |
+
humor.value,
|
| 733 |
+
creativity.value,
|
| 734 |
+
appropriate.value,
|
| 735 |
+
following_instructions.value,
|
| 736 |
+
politeness.value,
|
| 737 |
+
harmfulness.value,
|
| 738 |
+
hate.value,
|
| 739 |
+
sexual.value,
|
| 740 |
+
violence.value,
|
| 741 |
+
suicide.value,
|
| 742 |
+
threat.value,
|
| 743 |
+
gun.value,
|
| 744 |
+
controlled_substance.value,
|
| 745 |
+
climinal_planing.value,
|
| 746 |
+
privacy.value,
|
| 747 |
+
harassment.value,
|
| 748 |
+
profanity.value,
|
| 749 |
+
political_content.value,
|
| 750 |
+
moral_judgement.value,
|
| 751 |
+
typos.value,
|
| 752 |
+
)
|
| 753 |
+
|
| 754 |
+
# Nextデータ初期化
|
| 755 |
+
initialize_next_data(df)
|
| 756 |
+
|
| 757 |
+
# 5段階評価をリセット
|
| 758 |
+
score_reset_display()
|
| 759 |
+
|
| 760 |
+
# UI更新のための返り値
|
| 761 |
+
return gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 762 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 763 |
+
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 764 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 765 |
+
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 766 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 767 |
+
*score_reset_display() # スコアリセット用の返り値
|
| 768 |
+
|
| 769 |
+
gr_submit_score.click(
|
| 770 |
+
eval_submit,
|
| 771 |
+
inputs=[
|
| 772 |
+
gr_answer_text_3_1,
|
| 773 |
+
gr_score_detail,
|
| 774 |
+
gr_helphulness,
|
| 775 |
+
gr_correcthness,
|
| 776 |
+
gr_coherence,
|
| 777 |
+
gr_complexity,
|
| 778 |
+
gr_verbosity,
|
| 779 |
+
gr_humor,
|
| 780 |
+
gr_creativity,
|
| 781 |
+
gr_appropriate,
|
| 782 |
+
gr_following_instructions,
|
| 783 |
+
gr_politeness,
|
| 784 |
+
gr_harmfulness,
|
| 785 |
+
gr_hate,
|
| 786 |
+
gr_sexual,
|
| 787 |
+
gr_violence,
|
| 788 |
+
gr_suicide,
|
| 789 |
+
gr_threat,
|
| 790 |
+
gr_gun,
|
| 791 |
+
gr_controlled_substance,
|
| 792 |
+
gr_climinal_planing,
|
| 793 |
+
gr_privacy,
|
| 794 |
+
gr_harassment,
|
| 795 |
+
gr_profanity,
|
| 796 |
+
gr_political_content,
|
| 797 |
+
gr_moral_judgement,
|
| 798 |
+
gr_typos
|
| 799 |
+
],
|
| 800 |
+
# UI更新
|
| 801 |
+
outputs=[
|
| 802 |
+
gr_question_text_1_1,
|
| 803 |
+
gr_answer_text_1_1,
|
| 804 |
+
gr_question_text_2_1,
|
| 805 |
+
gr_answer_text_2_1,
|
| 806 |
+
gr_question_text_3_1,
|
| 807 |
+
gr_answer_text_3_1,
|
| 808 |
+
gr_score_detail,
|
| 809 |
+
gr_helphulness,
|
| 810 |
+
gr_correcthness,
|
| 811 |
+
gr_coherence,
|
| 812 |
+
gr_complexity,
|
| 813 |
+
gr_verbosity,
|
| 814 |
+
gr_humor,
|
| 815 |
+
gr_creativity,
|
| 816 |
+
gr_appropriate,
|
| 817 |
+
gr_following_instructions,
|
| 818 |
+
gr_politeness,
|
| 819 |
+
gr_harmfulness,
|
| 820 |
+
gr_hate,
|
| 821 |
+
gr_sexual,
|
| 822 |
+
gr_violence,
|
| 823 |
+
gr_suicide,
|
| 824 |
+
gr_threat,
|
| 825 |
+
gr_gun,
|
| 826 |
+
gr_controlled_substance,
|
| 827 |
+
gr_climinal_planing,
|
| 828 |
+
gr_privacy,
|
| 829 |
+
gr_harassment,
|
| 830 |
+
gr_profanity,
|
| 831 |
+
gr_political_content,
|
| 832 |
+
gr_moral_judgement,
|
| 833 |
+
gr_typos
|
| 834 |
+
],
|
| 835 |
+
)
|
| 836 |
|
| 837 |
# 5段階評価ボタンのクリックイベントを定義
|
| 838 |
def score_button_clicked(button_value):
|
| 839 |
+
# 状態初期化
|
| 840 |
good.value = False
|
| 841 |
bad.value = False
|
| 842 |
+
unknown_quality.value = False
|
| 843 |
+
score.value = button_value
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 844 |
|
| 845 |
+
# 5段階評価クリック
|
| 846 |
def update_annotation(
|
| 847 |
input_ans_1: str = None,
|
| 848 |
+
input_ans_2: str = None,
|
| 849 |
is_good: bool = None, # good/bad を表すフラグを追加
|
| 850 |
is_unknown: bool = None, # 「分からない」を表すフラグを追加
|
| 851 |
+
is_simple: bool = None,
|
| 852 |
score_value: int = None # 5段階評価の値、good/badの場合はNone
|
| 853 |
+
) -> Tuple[
|
| 854 |
+
gr.update,
|
| 855 |
+
gr.update,
|
| 856 |
+
gr.update,
|
| 857 |
+
gr.update,
|
| 858 |
+
gr.update,
|
| 859 |
+
]:
|
| 860 |
|
| 861 |
# good/bad/unknown と score の状態を更新
|
| 862 |
update_evaluation_state(is_good, is_unknown, score_value)
|
| 863 |
|
| 864 |
# 変更を検知 (5段階評価の場合も処理するように変更)
|
| 865 |
+
update_answer_state(input_ans_1, input_ans_2)
|
| 866 |
+
|
| 867 |
# 表示更新
|
| 868 |
# indexを進める
|
| 869 |
select_idx.value += 1
|
|
|
|
| 873 |
# ループさせるか、エラー処理を行う
|
| 874 |
if select_idx.value >= len(df):
|
| 875 |
select_idx.value = 0
|
| 876 |
+
|
| 877 |
+
# シンプルモードクリックで、scoreを0に設定
|
| 878 |
+
if is_simple == True:
|
| 879 |
+
score.value = 0
|
| 880 |
|
| 881 |
# データセットに追加
|
| 882 |
+
# 元のindex番号(dataset_id)を指定して保存
|
| 883 |
save_annotation_data(df)
|
| 884 |
|
| 885 |
# Nextデータ初期化
|
| 886 |
initialize_next_data(df)
|
| 887 |
+
|
| 888 |
+
# 5段階評価をリセット
|
| 889 |
+
reset_values = score_reset_display()
|
| 890 |
|
| 891 |
return gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 892 |
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 893 |
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 894 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 895 |
+
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 896 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 897 |
+
*reset_values
|
| 898 |
+
|
| 899 |
|
| 900 |
+
# 評価状態リセット
|
| 901 |
def update_evaluation_state(is_good, is_unknown, score_value):
|
| 902 |
if score_value is not None: # 5段階評価の場合
|
| 903 |
good.value = False
|
|
|
|
| 909 |
bad.value = not is_good if not is_unknown else False
|
| 910 |
unknown_quality.value = is_unknown # 「分からない」の状態を設定
|
| 911 |
|
| 912 |
+
# 変更を検知して値を設定
|
| 913 |
+
def update_answer_state(input_ans_1, input_ans_2):
|
| 914 |
if input_ans_1 is not None and initial_answer_text_1.value != input_ans_1:
|
| 915 |
is_proofreading_1.value = True
|
| 916 |
answer_text_1.value = input_ans_1
|
| 917 |
else:
|
| 918 |
answer_text_1.value = ""
|
| 919 |
|
| 920 |
+
# 2ターン目用
|
| 921 |
+
if input_ans_2 is not None and initial_answer_text_2.value != input_ans_2:
|
| 922 |
is_proofreading_2.value = True
|
| 923 |
+
answer_text_2.value = input_ans_2
|
| 924 |
else:
|
| 925 |
answer_text_2.value = ""
|
| 926 |
|
| 927 |
+
# データ保存
|
| 928 |
def save_annotation_data(df):
|
| 929 |
save_annotation(
|
| 930 |
select_dropdown_dataset.value,
|
| 931 |
# datasetIdは元のindex番号を使用
|
| 932 |
df.iloc[select_idx.value]['index'],
|
| 933 |
who.value,
|
| 934 |
+
unknown_quality.value,
|
| 935 |
good.value,
|
| 936 |
bad.value,
|
|
|
|
|
|
|
| 937 |
is_proofreading_1.value,
|
| 938 |
answer_text_1.value,
|
| 939 |
is_proofreading_2.value,
|
| 940 |
+
answer_text_2.value,
|
| 941 |
+
score.value,
|
| 942 |
+
helphulness.value,
|
| 943 |
+
correcthness.value,
|
| 944 |
+
coherenece.value,
|
| 945 |
+
complexity.value,
|
| 946 |
+
verbosity.value,
|
| 947 |
+
humor.value,
|
| 948 |
+
creativity.value,
|
| 949 |
+
appropriate.value,
|
| 950 |
+
following_instructions.value,
|
| 951 |
+
politeness.value,
|
| 952 |
+
harmfulness.value,
|
| 953 |
+
hate.value,
|
| 954 |
+
sexual.value,
|
| 955 |
+
violence.value,
|
| 956 |
+
suicide.value,
|
| 957 |
+
threat.value,
|
| 958 |
+
gun.value,
|
| 959 |
+
controlled_substance.value,
|
| 960 |
+
climinal_planing.value,
|
| 961 |
+
privacy.value,
|
| 962 |
+
harassment.value,
|
| 963 |
+
profanity.value,
|
| 964 |
+
political_content.value,
|
| 965 |
+
moral_judgement.value,
|
| 966 |
+
typos.value,
|
| 967 |
)
|
| 968 |
|
| 969 |
+
# 次データ読込時の初期化
|
| 970 |
def initialize_next_data(df):
|
| 971 |
is_proofreading_1.value = False
|
| 972 |
is_proofreading_2.value = False
|
| 973 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 974 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 975 |
+
|
| 976 |
+
# 評価不可
|
| 977 |
+
def unknown_click(input_ans_1, input_ans_2):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 978 |
good.value = False
|
| 979 |
bad.value = False
|
| 980 |
+
score_reset_display()
|
| 981 |
+
return update_annotation(
|
| 982 |
+
input_ans_1=input_ans_1,
|
| 983 |
+
input_ans_2=input_ans_2,
|
| 984 |
+
is_good=False,
|
| 985 |
+
is_unknown=True,
|
| 986 |
+
is_simple=True,
|
| 987 |
+
)
|
| 988 |
+
|
| 989 |
+
# 評価不可クリックイベント
|
| 990 |
+
gr_unknown_btn.click(
|
| 991 |
unknown_click,
|
| 992 |
inputs=[
|
| 993 |
+
gr_answer_text_1_1,
|
| 994 |
+
gr_answer_text_2_1
|
| 995 |
],
|
| 996 |
+
outputs=[
|
| 997 |
+
gr_question_text_1_1,
|
| 998 |
+
gr_answer_text_1_1,
|
| 999 |
+
gr_question_text_2_1,
|
| 1000 |
+
gr_answer_text_2_1,
|
| 1001 |
+
gr_question_text_3_1,
|
| 1002 |
+
gr_answer_text_3_1,
|
| 1003 |
+
gr_score_detail,
|
| 1004 |
+
gr_helphulness,
|
| 1005 |
+
gr_correcthness,
|
| 1006 |
+
gr_coherence,
|
| 1007 |
+
gr_complexity,
|
| 1008 |
+
gr_verbosity,
|
| 1009 |
+
gr_humor,
|
| 1010 |
+
gr_creativity,
|
| 1011 |
+
gr_appropriate,
|
| 1012 |
+
gr_following_instructions,
|
| 1013 |
+
gr_politeness,
|
| 1014 |
+
gr_harmfulness,
|
| 1015 |
+
gr_hate,
|
| 1016 |
+
gr_sexual,
|
| 1017 |
+
gr_violence,
|
| 1018 |
+
gr_suicide,
|
| 1019 |
+
gr_threat,
|
| 1020 |
+
gr_gun,
|
| 1021 |
+
gr_controlled_substance,
|
| 1022 |
+
gr_climinal_planing,
|
| 1023 |
+
gr_privacy,
|
| 1024 |
+
gr_harassment,
|
| 1025 |
+
gr_profanity,
|
| 1026 |
+
gr_political_content,
|
| 1027 |
+
gr_moral_judgement,
|
| 1028 |
+
gr_typos
|
| 1029 |
+
]
|
| 1030 |
)
|
| 1031 |
|
| 1032 |
+
# 良いクリック
|
| 1033 |
+
def good_click(input_ans_1, input_ans_2):
|
| 1034 |
+
score_reset_display()
|
| 1035 |
+
return update_annotation(
|
| 1036 |
+
input_ans_1=input_ans_1,
|
| 1037 |
+
input_ans_2=input_ans_2,
|
| 1038 |
+
is_good=True,
|
| 1039 |
+
is_unknown=False,
|
| 1040 |
+
is_simple=True,
|
| 1041 |
+
)
|
| 1042 |
+
|
| 1043 |
+
# 良いクリック
|
| 1044 |
+
gr_good_btn.click(
|
| 1045 |
+
good_click,
|
| 1046 |
+
inputs=[
|
| 1047 |
+
gr_answer_text_1_1,
|
| 1048 |
+
gr_answer_text_2_1
|
| 1049 |
+
],
|
| 1050 |
+
outputs=[
|
| 1051 |
+
gr_question_text_1_1,
|
| 1052 |
+
gr_answer_text_1_1,
|
| 1053 |
+
gr_question_text_2_1,
|
| 1054 |
+
gr_answer_text_2_1,
|
| 1055 |
+
gr_question_text_3_1,
|
| 1056 |
+
gr_answer_text_3_1,
|
| 1057 |
+
gr_score_detail,
|
| 1058 |
+
gr_helphulness,
|
| 1059 |
+
gr_correcthness,
|
| 1060 |
+
gr_coherence,
|
| 1061 |
+
gr_complexity,
|
| 1062 |
+
gr_verbosity,
|
| 1063 |
+
gr_humor,
|
| 1064 |
+
gr_creativity,
|
| 1065 |
+
gr_appropriate,
|
| 1066 |
+
gr_following_instructions,
|
| 1067 |
+
gr_politeness,
|
| 1068 |
+
gr_harmfulness,
|
| 1069 |
+
gr_hate,
|
| 1070 |
+
gr_sexual,
|
| 1071 |
+
gr_violence,
|
| 1072 |
+
gr_suicide,
|
| 1073 |
+
gr_threat,
|
| 1074 |
+
gr_gun,
|
| 1075 |
+
gr_controlled_substance,
|
| 1076 |
+
gr_climinal_planing,
|
| 1077 |
+
gr_privacy,
|
| 1078 |
+
gr_harassment,
|
| 1079 |
+
gr_profanity,
|
| 1080 |
+
gr_political_content,
|
| 1081 |
+
gr_moral_judgement,
|
| 1082 |
+
gr_typos
|
| 1083 |
+
]
|
| 1084 |
+
)
|
| 1085 |
+
|
| 1086 |
+
# 低評価クリック
|
| 1087 |
+
def bad_click(input_ans_1, input_ans_2):
|
| 1088 |
+
score_reset_display()
|
| 1089 |
+
return update_annotation(
|
| 1090 |
+
input_ans_1=input_ans_1,
|
| 1091 |
+
input_ans_2=input_ans_2,
|
| 1092 |
+
is_good=False,
|
| 1093 |
+
is_unknown=False,
|
| 1094 |
+
is_simple=True,
|
| 1095 |
+
)
|
| 1096 |
+
|
| 1097 |
+
# 低評価クリックイベント
|
| 1098 |
+
gr_bad_btn.click(
|
| 1099 |
bad_click,
|
| 1100 |
inputs=[
|
| 1101 |
+
gr_answer_text_1_1,
|
| 1102 |
+
gr_answer_text_2_1
|
| 1103 |
],
|
| 1104 |
+
outputs=[
|
| 1105 |
+
gr_question_text_1_1,
|
| 1106 |
+
gr_answer_text_1_1,
|
| 1107 |
+
gr_question_text_2_1,
|
| 1108 |
+
gr_answer_text_2_1,
|
| 1109 |
+
gr_question_text_3_1,
|
| 1110 |
+
gr_answer_text_3_1,
|
| 1111 |
+
gr_score_detail,
|
| 1112 |
+
gr_helphulness,
|
| 1113 |
+
gr_correcthness,
|
| 1114 |
+
gr_coherence,
|
| 1115 |
+
gr_complexity,
|
| 1116 |
+
gr_verbosity,
|
| 1117 |
+
gr_humor,
|
| 1118 |
+
gr_creativity,
|
| 1119 |
+
gr_appropriate,
|
| 1120 |
+
gr_following_instructions,
|
| 1121 |
+
gr_politeness,
|
| 1122 |
+
gr_harmfulness,
|
| 1123 |
+
gr_hate,
|
| 1124 |
+
gr_sexual,
|
| 1125 |
+
gr_violence,
|
| 1126 |
+
gr_suicide,
|
| 1127 |
+
gr_threat,
|
| 1128 |
+
gr_gun,
|
| 1129 |
+
gr_controlled_substance,
|
| 1130 |
+
gr_climinal_planing,
|
| 1131 |
+
gr_privacy,
|
| 1132 |
+
gr_harassment,
|
| 1133 |
+
gr_profanity,
|
| 1134 |
+
gr_political_content,
|
| 1135 |
+
gr_moral_judgement,
|
| 1136 |
+
gr_typos
|
| 1137 |
+
]
|
| 1138 |
)
|
| 1139 |
|
| 1140 |
# 5段階評価ボタンのクリックイベント
|
| 1141 |
+
gr_score_1_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=1),
|
| 1142 |
+
inputs=[gr_answer_text_2_1],
|
| 1143 |
+
outputs=[
|
| 1144 |
+
gr_question_text_1_1,
|
| 1145 |
+
gr_answer_text_1_1,
|
| 1146 |
+
gr_question_text_2_1,
|
| 1147 |
+
gr_answer_text_2_1,
|
| 1148 |
+
gr_question_text_3_1,
|
| 1149 |
+
gr_answer_text_3_1,
|
| 1150 |
+
gr_score_detail,
|
| 1151 |
+
gr_helphulness,
|
| 1152 |
+
gr_correcthness,
|
| 1153 |
+
gr_coherence,
|
| 1154 |
+
gr_complexity,
|
| 1155 |
+
gr_verbosity,
|
| 1156 |
+
gr_humor,
|
| 1157 |
+
gr_creativity,
|
| 1158 |
+
gr_appropriate,
|
| 1159 |
+
gr_following_instructions,
|
| 1160 |
+
gr_politeness,
|
| 1161 |
+
gr_harmfulness,
|
| 1162 |
+
gr_hate,
|
| 1163 |
+
gr_sexual,
|
| 1164 |
+
gr_violence,
|
| 1165 |
+
gr_suicide,
|
| 1166 |
+
gr_threat,
|
| 1167 |
+
gr_gun,
|
| 1168 |
+
gr_controlled_substance,
|
| 1169 |
+
gr_climinal_planing,
|
| 1170 |
+
gr_privacy,
|
| 1171 |
+
gr_harassment,
|
| 1172 |
+
gr_profanity,
|
| 1173 |
+
gr_political_content,
|
| 1174 |
+
gr_moral_judgement,
|
| 1175 |
+
gr_typos
|
| 1176 |
+
])
|
| 1177 |
+
gr_score_2_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=2),
|
| 1178 |
+
inputs=[gr_answer_text_2_1],
|
| 1179 |
+
outputs=[
|
| 1180 |
+
gr_question_text_1_1,
|
| 1181 |
+
gr_answer_text_1_1,
|
| 1182 |
+
gr_question_text_2_1,
|
| 1183 |
+
gr_answer_text_2_1,
|
| 1184 |
+
gr_question_text_3_1,
|
| 1185 |
+
gr_answer_text_3_1,
|
| 1186 |
+
gr_score_detail,
|
| 1187 |
+
gr_helphulness,
|
| 1188 |
+
gr_correcthness,
|
| 1189 |
+
gr_coherence,
|
| 1190 |
+
gr_complexity,
|
| 1191 |
+
gr_verbosity,
|
| 1192 |
+
gr_humor,
|
| 1193 |
+
gr_creativity,
|
| 1194 |
+
gr_appropriate,
|
| 1195 |
+
gr_following_instructions,
|
| 1196 |
+
gr_politeness,
|
| 1197 |
+
gr_harmfulness,
|
| 1198 |
+
gr_hate,
|
| 1199 |
+
gr_sexual,
|
| 1200 |
+
gr_violence,
|
| 1201 |
+
gr_suicide,
|
| 1202 |
+
gr_threat,
|
| 1203 |
+
gr_gun,
|
| 1204 |
+
gr_controlled_substance,
|
| 1205 |
+
gr_climinal_planing,
|
| 1206 |
+
gr_privacy,
|
| 1207 |
+
gr_harassment,
|
| 1208 |
+
gr_profanity,
|
| 1209 |
+
gr_political_content,
|
| 1210 |
+
gr_moral_judgement,
|
| 1211 |
+
gr_typos
|
| 1212 |
+
])
|
| 1213 |
+
gr_score_3_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=3),
|
| 1214 |
+
inputs=[gr_answer_text_2_1],
|
| 1215 |
+
outputs=[
|
| 1216 |
+
gr_question_text_1_1,
|
| 1217 |
+
gr_answer_text_1_1,
|
| 1218 |
+
gr_question_text_2_1,
|
| 1219 |
+
gr_answer_text_2_1,
|
| 1220 |
+
gr_question_text_3_1,
|
| 1221 |
+
gr_answer_text_3_1,
|
| 1222 |
+
gr_score_detail,
|
| 1223 |
+
gr_helphulness,
|
| 1224 |
+
gr_correcthness,
|
| 1225 |
+
gr_coherence,
|
| 1226 |
+
gr_complexity,
|
| 1227 |
+
gr_verbosity,
|
| 1228 |
+
gr_humor,
|
| 1229 |
+
gr_creativity,
|
| 1230 |
+
gr_appropriate,
|
| 1231 |
+
gr_following_instructions,
|
| 1232 |
+
gr_politeness,
|
| 1233 |
+
gr_harmfulness,
|
| 1234 |
+
gr_hate,
|
| 1235 |
+
gr_sexual,
|
| 1236 |
+
gr_violence,
|
| 1237 |
+
gr_suicide,
|
| 1238 |
+
gr_threat,
|
| 1239 |
+
gr_gun,
|
| 1240 |
+
gr_controlled_substance,
|
| 1241 |
+
gr_climinal_planing,
|
| 1242 |
+
gr_privacy,
|
| 1243 |
+
gr_harassment,
|
| 1244 |
+
gr_profanity,
|
| 1245 |
+
gr_political_content,
|
| 1246 |
+
gr_moral_judgement,
|
| 1247 |
+
gr_typos
|
| 1248 |
+
])
|
| 1249 |
+
gr_score_4_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=4),
|
| 1250 |
+
inputs=[gr_answer_text_2_1],
|
| 1251 |
+
outputs=[
|
| 1252 |
+
gr_question_text_1_1,
|
| 1253 |
+
gr_answer_text_1_1,
|
| 1254 |
+
gr_question_text_2_1,
|
| 1255 |
+
gr_answer_text_2_1,
|
| 1256 |
+
gr_question_text_3_1,
|
| 1257 |
+
gr_answer_text_3_1,
|
| 1258 |
+
gr_score_detail,
|
| 1259 |
+
gr_helphulness,
|
| 1260 |
+
gr_correcthness,
|
| 1261 |
+
gr_coherence,
|
| 1262 |
+
gr_complexity,
|
| 1263 |
+
gr_verbosity,
|
| 1264 |
+
gr_humor,
|
| 1265 |
+
gr_creativity,
|
| 1266 |
+
gr_appropriate,
|
| 1267 |
+
gr_following_instructions,
|
| 1268 |
+
gr_politeness,
|
| 1269 |
+
gr_harmfulness,
|
| 1270 |
+
gr_hate,
|
| 1271 |
+
gr_sexual,
|
| 1272 |
+
gr_violence,
|
| 1273 |
+
gr_suicide,
|
| 1274 |
+
gr_threat,
|
| 1275 |
+
gr_gun,
|
| 1276 |
+
gr_controlled_substance,
|
| 1277 |
+
gr_climinal_planing,
|
| 1278 |
+
gr_privacy,
|
| 1279 |
+
gr_harassment,
|
| 1280 |
+
gr_profanity,
|
| 1281 |
+
gr_political_content,
|
| 1282 |
+
gr_moral_judgement,
|
| 1283 |
+
gr_typos
|
| 1284 |
+
])
|
| 1285 |
+
gr_score_5_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=5),
|
| 1286 |
+
inputs=[gr_answer_text_2_1],
|
| 1287 |
+
outputs=[
|
| 1288 |
+
gr_question_text_1_1,
|
| 1289 |
+
gr_answer_text_1_1,
|
| 1290 |
+
gr_question_text_2_1,
|
| 1291 |
+
gr_answer_text_2_1,
|
| 1292 |
+
gr_question_text_3_1,
|
| 1293 |
+
gr_answer_text_3_1,
|
| 1294 |
+
gr_score_detail,
|
| 1295 |
+
gr_helphulness,
|
| 1296 |
+
gr_correcthness,
|
| 1297 |
+
gr_coherence,
|
| 1298 |
+
gr_complexity,
|
| 1299 |
+
gr_verbosity,
|
| 1300 |
+
gr_humor,
|
| 1301 |
+
gr_creativity,
|
| 1302 |
+
gr_appropriate,
|
| 1303 |
+
gr_following_instructions,
|
| 1304 |
+
gr_politeness,
|
| 1305 |
+
gr_harmfulness,
|
| 1306 |
+
gr_hate,
|
| 1307 |
+
gr_sexual,
|
| 1308 |
+
gr_violence,
|
| 1309 |
+
gr_suicide,
|
| 1310 |
+
gr_threat,
|
| 1311 |
+
gr_gun,
|
| 1312 |
+
gr_controlled_substance,
|
| 1313 |
+
gr_climinal_planing,
|
| 1314 |
+
gr_privacy,
|
| 1315 |
+
gr_harassment,
|
| 1316 |
+
gr_profanity,
|
| 1317 |
+
gr_political_content,
|
| 1318 |
+
gr_moral_judgement,
|
| 1319 |
+
gr_typos
|
| 1320 |
+
])
|
| 1321 |
+
|
| 1322 |
+
# Scoreリセット
|
| 1323 |
+
def score_reset_display():
|
| 1324 |
+
# gr.State
|
| 1325 |
+
score.value = 3
|
| 1326 |
+
helphulness.value = 0
|
| 1327 |
+
correcthness.value = 0
|
| 1328 |
+
coherenece.value = 0
|
| 1329 |
+
complexity.value = 0
|
| 1330 |
+
verbosity.value = 0
|
| 1331 |
+
humor.value = 0
|
| 1332 |
+
creativity.value = 0
|
| 1333 |
+
appropriate.value = 0
|
| 1334 |
+
following_instructions.value = 0
|
| 1335 |
+
politeness.value = 0
|
| 1336 |
+
harmfulness.value = 0
|
| 1337 |
+
hate.value = 0
|
| 1338 |
+
sexual.value = 0
|
| 1339 |
+
violence.value = 0
|
| 1340 |
+
suicide.value = 0
|
| 1341 |
+
threat.value = 0
|
| 1342 |
+
gun.value = 0
|
| 1343 |
+
controlled_substance.vlaue = 0
|
| 1344 |
+
climinal_planing.value = 0
|
| 1345 |
+
privacy.value = 0
|
| 1346 |
+
harassment.value = 0
|
| 1347 |
+
profanity.value = 0
|
| 1348 |
+
political_content.value = 0
|
| 1349 |
+
moral_judgement.value = 0
|
| 1350 |
+
typos.value = 0
|
| 1351 |
+
|
| 1352 |
+
return 3,0,0,0,0,0,0,0,0,0,0,0, \
|
| 1353 |
+
"不明", "不明", "不明", "不明", "不明", \
|
| 1354 |
+
"不明", "不明", "不明", "不明", "不明", \
|
| 1355 |
+
"不明", "不明", "不明", "不明"
|
| 1356 |
+
|
| 1357 |
+
# Scoreリセット
|
| 1358 |
+
gr_score_reset.click(
|
| 1359 |
+
score_reset_display,
|
| 1360 |
+
inputs=[],
|
| 1361 |
+
outputs=[
|
| 1362 |
+
gr_score_detail,
|
| 1363 |
+
gr_helphulness,
|
| 1364 |
+
gr_correcthness,
|
| 1365 |
+
gr_coherence,
|
| 1366 |
+
gr_complexity,
|
| 1367 |
+
gr_verbosity,
|
| 1368 |
+
gr_humor,
|
| 1369 |
+
gr_creativity,
|
| 1370 |
+
gr_appropriate,
|
| 1371 |
+
gr_following_instructions,
|
| 1372 |
+
gr_politeness,
|
| 1373 |
+
gr_harmfulness,
|
| 1374 |
+
gr_hate,
|
| 1375 |
+
gr_sexual,
|
| 1376 |
+
gr_violence,
|
| 1377 |
+
gr_suicide,
|
| 1378 |
+
gr_threat,
|
| 1379 |
+
gr_gun,
|
| 1380 |
+
gr_controlled_substance,
|
| 1381 |
+
gr_climinal_planing,
|
| 1382 |
+
gr_privacy,
|
| 1383 |
+
gr_harassment,
|
| 1384 |
+
gr_profanity,
|
| 1385 |
+
gr_political_content,
|
| 1386 |
+
gr_moral_judgement,
|
| 1387 |
+
gr_typos
|
| 1388 |
+
]
|
| 1389 |
+
)
|
| 1390 |
+
|
| 1391 |
+
# データ読込
|
| 1392 |
+
gr_data_load_btn.click(
|
| 1393 |
+
dataset_load_fn,
|
| 1394 |
+
inputs=None,
|
| 1395 |
+
# textをセットし、intractiveをTrueにする (UI更新)
|
| 1396 |
+
outputs=[
|
| 1397 |
+
gr_question_text_1_1,
|
| 1398 |
+
gr_answer_text_1_1,
|
| 1399 |
+
gr_question_text_2_1,
|
| 1400 |
+
gr_answer_text_2_1,
|
| 1401 |
+
gr_question_text_3_1,
|
| 1402 |
+
gr_answer_text_3_1,
|
| 1403 |
+
gr_answer_text_1_1,
|
| 1404 |
+
gr_answer_text_2_1,
|
| 1405 |
+
gr_answer_text_3_1,
|
| 1406 |
+
gr_unknown_btn,
|
| 1407 |
+
gr_good_btn,
|
| 1408 |
+
gr_bad_btn,
|
| 1409 |
+
gr_score_5_btn,
|
| 1410 |
+
gr_score_4_btn,
|
| 1411 |
+
gr_score_3_btn,
|
| 1412 |
+
gr_score_2_btn,
|
| 1413 |
+
gr_score_1_btn,
|
| 1414 |
+
gr_submit_score,
|
| 1415 |
+
gr_score_detail,
|
| 1416 |
+
gr_score_reset,
|
| 1417 |
+
gr_helphulness,
|
| 1418 |
+
gr_correcthness,
|
| 1419 |
+
gr_coherence,
|
| 1420 |
+
gr_complexity,
|
| 1421 |
+
gr_verbosity,
|
| 1422 |
+
gr_humor,
|
| 1423 |
+
gr_creativity,
|
| 1424 |
+
gr_appropriate,
|
| 1425 |
+
gr_following_instructions,
|
| 1426 |
+
gr_politeness,
|
| 1427 |
+
gr_harmfulness,
|
| 1428 |
+
gr_hate,
|
| 1429 |
+
gr_sexual,
|
| 1430 |
+
gr_violence,
|
| 1431 |
+
gr_suicide,
|
| 1432 |
+
gr_threat,
|
| 1433 |
+
gr_gun,
|
| 1434 |
+
gr_controlled_substance,
|
| 1435 |
+
gr_climinal_planing,
|
| 1436 |
+
gr_privacy,
|
| 1437 |
+
gr_harassment,
|
| 1438 |
+
gr_profanity,
|
| 1439 |
+
gr_political_content,
|
| 1440 |
+
gr_moral_judgement,
|
| 1441 |
+
gr_typos
|
| 1442 |
+
]
|
| 1443 |
+
)
|
| 1444 |
+
|
| 1445 |
# TODO Tab切り替えで、アノテ済みの一覧を表示する
|
| 1446 |
# with gr.Tab("アノテ済みデータセット(管理画面)"):
|
| 1447 |
# タブを切り替えた時にデータ表示を更新する
|
run.py
CHANGED
|
@@ -28,14 +28,14 @@ else:
|
|
| 28 |
print("Warning: HF_TOKEN not found. Please set it in your Space secrets.")
|
| 29 |
|
| 30 |
# HFデータセット アップロード先
|
| 31 |
-
# (
|
| 32 |
-
|
| 33 |
"team-hatakeyama-phase2/annotation_tanuki_phase2",
|
| 34 |
"kevineen/Tanuki-Phase2-annotation-dataset", # 出力テスト
|
| 35 |
]
|
| 36 |
|
| 37 |
# アノテーション対象データセット
|
| 38 |
-
|
| 39 |
"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
|
| 40 |
"hatakeyama-llm-team/AutoGeneratedJapaneseQA-other",
|
| 41 |
"kanhatakeyama/ChatbotArenaJaMixtral8x22b",
|
|
@@ -46,9 +46,11 @@ annotation_dataset_list = [
|
|
| 46 |
# "hatakeyama-llm-team/WikiBookJa",
|
| 47 |
# "kanhatakeyama/AutoWikiQA",
|
| 48 |
# "susumuota/SyntheticTextWikiTranslate-askllm-v1", # Ask-LLM 翻訳
|
|
|
|
|
|
|
| 49 |
]
|
| 50 |
|
| 51 |
-
|
| 52 |
# マルチターン 未対応
|
| 53 |
"kanhatakeyama/AutoMultiTurnByMixtral8x22b",
|
| 54 |
]
|
|
@@ -60,56 +62,152 @@ is_selected_dataset = gr.State(False)
|
|
| 60 |
is_loaded_dataset = gr.State(False)
|
| 61 |
|
| 62 |
# 選択中のデータセットリスト
|
| 63 |
-
dropdown_dataset_list = gr.State(value=
|
|
|
|
| 64 |
# 現在の対象データセット 初期値は"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
|
| 65 |
select_dropdown_dataset = gr.State(dropdown_dataset_list.value[0])
|
| 66 |
select_dataset = gr.State(None) # 現在のデータセット
|
| 67 |
select_dataset_total_len = gr.State(0) # 現在のデータセットの長さ
|
| 68 |
select_idx = gr.State(0) # 現在のインデックス (ランダムモードにするなら不要？
|
| 69 |
-
random_mode = gr.State(False)
|
| 70 |
|
| 71 |
# 回答者がアノテーションしたデータセット
|
| 72 |
annotated_dataset = gr.State(
|
| 73 |
pd.DataFrame({
|
| 74 |
-
'dataset_name': [],
|
| 75 |
-
'dataset_id': [],
|
| 76 |
-
'who': [],
|
| 77 |
-
'
|
| 78 |
-
'
|
| 79 |
-
'
|
| 80 |
-
'
|
| 81 |
-
'is_proofreading_1': [],
|
| 82 |
'answer_text_1': [],
|
| 83 |
-
'is_proofreading_2': [], #
|
| 84 |
-
'answer_text_2': [], #
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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})
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)
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initial_answer_text_2 = gr.State("") # 回答2を整形したかチェック用
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is_dataset_loaded = gr.State(False)
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| 93 |
you_dataset_id = gr.State(0) # 回答者がアノテーションしているデータのID
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| 94 |
dataset_name = gr.State("") # 編集に使用したデータセット名
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| 95 |
dataset_id = gr.State(0) # 加工元データセットのindex
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| 96 |
who = gr.State("") # アノテーション者名
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good = gr.State(False) # 良
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bad = gr.State(False) # 悪
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is_proofreading_1 = gr.State(False) # 回答1を整形したか_1
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answer_text_1 = gr.State("") # answer_1 回答
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is_proofreading_2 = gr.State(False) # 回答2を整形したか_2
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answer_text_2 = gr.State("") # answer_2 回答
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def dataset_load_fn() -> Tuple[
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str,
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str,
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| 113 |
gr.update,
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gr.update,
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gr.update,
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gr.update,
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gr.update,
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gr.update,
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gr.update
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| 123 |
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is_dataset_loaded.value = False #
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| 124 |
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| 125 |
select_dataset.value = load_dataset(
|
| 126 |
select_dropdown_dataset.value
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@@ -129,6 +229,7 @@ def dataset_load_fn() -> Tuple[
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| 129 |
# DatasetオブジェクトをPandas DataFrameに変換
|
| 130 |
df = select_dataset.value["train"].to_pandas()
|
| 131 |
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| 132 |
# index列を追加し、シャッフル
|
| 133 |
df = df.reset_index(drop=False) # 元のindexを保持
|
| 134 |
df = df.sample(frac=1).reset_index(drop=True) # シャッフル
|
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@@ -138,7 +239,7 @@ def dataset_load_fn() -> Tuple[
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|
| 138 |
select_dataset_total_len.value = len(df) # 長さを取得
|
| 139 |
is_dataset_loaded.value = True # ロード完了
|
| 140 |
|
| 141 |
-
#
|
| 142 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 143 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 144 |
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@@ -146,6 +247,39 @@ def dataset_load_fn() -> Tuple[
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|
| 146 |
df.iloc[select_idx.value]["answer"], \
|
| 147 |
df.iloc[select_idx.value]["question"], \
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| 148 |
df.iloc[select_idx.value]["answer"], \
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| 149 |
gr.update(interactive=True), \
|
| 150 |
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|
| 151 |
gr.update(interactive=True), \
|
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@@ -164,7 +298,7 @@ annotation_file = Path("user_annotation/") / f"data_{uuid.uuid4()}.json"
|
|
| 164 |
annotated_folder = annotation_file.parent
|
| 165 |
|
| 166 |
scheduler = CommitScheduler(
|
| 167 |
-
repo_id=
|
| 168 |
repo_type="dataset",
|
| 169 |
folder_path=annotated_folder,
|
| 170 |
path_in_repo="data", # Spaceの場合の保存先フォルダー
|
|
@@ -172,19 +306,58 @@ scheduler = CommitScheduler(
|
|
| 172 |
every=5, # 5分毎にアップロード HuggingFAce_Documentの最低推奨値
|
| 173 |
)
|
| 174 |
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| 175 |
# CommitScheduler (HFへのデータアップロード
|
| 176 |
def save_annotation(
|
| 177 |
dataset_name: str,
|
| 178 |
dataset_id: int,
|
| 179 |
who: str,
|
|
|
|
| 180 |
good: bool,
|
| 181 |
bad: bool,
|
| 182 |
-
unknown_quality: bool,
|
| 183 |
-
score: int,
|
| 184 |
is_proofreading_1: bool,
|
| 185 |
answer_text_1: str,
|
| 186 |
is_proofreading_2: bool,
|
| 187 |
-
answer_text_2: str
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| 188 |
|
| 189 |
annotated_dataset.value = pd.concat([
|
| 190 |
annotated_dataset.value,
|
|
@@ -192,33 +365,82 @@ def save_annotation(
|
|
| 192 |
'dataset_name': [dataset_name],
|
| 193 |
'dataset_id': [dataset_id],
|
| 194 |
'who': [who],
|
|
|
|
| 195 |
'good': [good],
|
| 196 |
'bad': [bad],
|
| 197 |
-
'unknown_quality': [unknown_quality],
|
| 198 |
-
'score': [score],
|
| 199 |
'is_proofreading_1': [is_proofreading_1],
|
| 200 |
"answer_text_1": [answer_text_1],
|
| 201 |
'is_proofreading_2': [is_proofreading_2],
|
| 202 |
-
'answer_text_2': [answer_text_2]
|
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|
| 203 |
})], ignore_index=True).reset_index(drop=True)
|
| 204 |
|
| 205 |
# 書き込み
|
| 206 |
with scheduler.lock:
|
| 207 |
with annotation_file.open("a", encoding='utf-8') as f:
|
| 208 |
data_to_write = {
|
| 209 |
-
# "id": , CommitScheduler
|
| 210 |
"datetime": str(datetime.datetime.now().isoformat()),
|
| 211 |
"dataset_name": dataset_name,
|
| 212 |
"dataset_id": int(dataset_id),
|
| 213 |
"who": who,
|
|
|
|
| 214 |
"good": good,
|
| 215 |
"bad": bad,
|
| 216 |
-
"unknown_quality": unknown_quality, # 新しいデータフィールドを追加
|
| 217 |
-
"score": score,
|
| 218 |
"is_proofreading_1": is_proofreading_1,
|
| 219 |
"answer_text_1": answer_text_1,
|
| 220 |
"is_proofreading_2": is_proofreading_2,
|
| 221 |
"answer_text_2": answer_text_2,
|
|
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|
| 222 |
}
|
| 223 |
f.write(json.dumps(data_to_write, ensure_ascii=False))
|
| 224 |
f.write("\n")
|
|
@@ -230,7 +452,6 @@ def save_annotation(
|
|
| 230 |
|
| 231 |
# ユーザー名表示
|
| 232 |
|
| 233 |
-
|
| 234 |
def hello(profile: gr.OAuthProfile | None) -> Tuple[str, str]:
|
| 235 |
if profile is None:
|
| 236 |
return "プライベートデータセット取得のためにログインしてください。", who.value
|
|
@@ -242,30 +463,40 @@ def hello(profile: gr.OAuthProfile | None) -> Tuple[str, str]:
|
|
| 242 |
theme_ = gr.themes.Default()
|
| 243 |
|
| 244 |
# 後のCSSデザイン変更用
|
| 245 |
-
|
| 246 |
-
|
| 247 |
def load_css():
|
| 248 |
with open("style.css", "r") as file:
|
| 249 |
css_content = file.read()
|
| 250 |
return css_content
|
| 251 |
|
| 252 |
-
|
| 253 |
# Gradio 画面 ============================================
|
| 254 |
with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
| 255 |
|
| 256 |
gr.Markdown("# データセット アノテーション for Tanuki (Phase2)")
|
| 257 |
-
|
|
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|
| 258 |
|
| 259 |
with gr.Tab("アノテーション (シングルターン)"):
|
| 260 |
|
| 261 |
-
|
| 262 |
-
|
| 263 |
-
gr.LoginButton(value="HuggingFace ログイン",
|
| 264 |
-
|
| 265 |
-
|
| 266 |
# ユーザー名
|
| 267 |
-
gr_profile_name = gr.Markdown()
|
| 268 |
-
demo.load(hello, inputs=None, outputs=[gr_profile_name, who])
|
| 269 |
|
| 270 |
with gr.Row():
|
| 271 |
|
|
@@ -288,76 +519,353 @@ with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
|
| 288 |
gr_data_load_btn = gr.Button("② データセットを読み込む")
|
| 289 |
|
| 290 |
with gr.Column() as content_column:
|
|
|
|
| 291 |
with gr.Tab("③ シンプル(良・悪)"):
|
| 292 |
with gr.Column():
|
| 293 |
with gr.Row(equal_height=True):
|
| 294 |
-
|
| 295 |
-
|
| 296 |
"分からない", interactive=False) # 「分からない」ボタンを追加
|
| 297 |
-
|
| 298 |
|
| 299 |
-
|
| 300 |
label="質問: ", lines=5, interactive=False)
|
| 301 |
|
| 302 |
-
|
| 303 |
-
label="回答:
|
| 304 |
lines=20,
|
| 305 |
-
interactive=
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# 5段階評価ボタンのクリックイベントを定義
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def score_button_clicked(button_value):
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good.value = False
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bad.value = False
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-
unknown_quality.value = False
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score.value = button_value
|
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|
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gr_data_load_btn.click(
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dataset_load_fn,
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inputs=None,
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outputs=[gr_question_text_1,
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gr_answer_text_1,
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gr_question_text_3,
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gr_answer_text_3,
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good_btn,
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unknown_btn, # 「分からない」ボタンを追加
|
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bad_btn,
|
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gr_score_1,
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gr_score_2,
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gr_score_3,
|
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gr_score_4,
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gr_score_5,
|
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]
|
| 345 |
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)
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def update_annotation(
|
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input_ans_1: str = None,
|
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-
|
| 350 |
is_good: bool = None, # good/bad を表すフラグを追加
|
| 351 |
is_unknown: bool = None, # 「分からない」を表すフラグを追加
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score_value: int = None # 5段階評価の値、good/badの場合はNone
|
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) -> Tuple[
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# good/bad/unknown と score の状態を更新
|
| 356 |
update_evaluation_state(is_good, is_unknown, score_value)
|
| 357 |
|
| 358 |
# 変更を検知 (5段階評価の場合も処理するように変更)
|
| 359 |
-
update_answer_state(input_ans_1,
|
| 360 |
-
|
| 361 |
# 表示更新
|
| 362 |
# indexを進める
|
| 363 |
select_idx.value += 1
|
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@@ -367,19 +875,31 @@ with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
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| 367 |
# ループさせるか、エラー処理を行う
|
| 368 |
if select_idx.value >= len(df):
|
| 369 |
select_idx.value = 0
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| 370 |
|
| 371 |
# データセットに追加
|
| 372 |
-
# 元のindex番号(dataset_id)を指定して保存
|
| 373 |
save_annotation_data(df)
|
| 374 |
|
| 375 |
# Nextデータ初期化
|
| 376 |
initialize_next_data(df)
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|
| 378 |
return gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 379 |
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 380 |
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
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gr.update(value=df.iloc[select_idx.value]["answer"])
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| 382 |
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| 383 |
def update_evaluation_state(is_good, is_unknown, score_value):
|
| 384 |
if score_value is not None: # 5段階評価の場合
|
| 385 |
good.value = False
|
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@@ -391,100 +911,539 @@ with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
|
| 391 |
bad.value = not is_good if not is_unknown else False
|
| 392 |
unknown_quality.value = is_unknown # 「分からない」の状態を設定
|
| 393 |
|
| 394 |
-
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|
| 395 |
if input_ans_1 is not None and initial_answer_text_1.value != input_ans_1:
|
| 396 |
is_proofreading_1.value = True
|
| 397 |
answer_text_1.value = input_ans_1
|
| 398 |
else:
|
| 399 |
answer_text_1.value = ""
|
| 400 |
|
| 401 |
-
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|
| 402 |
is_proofreading_2.value = True
|
| 403 |
-
answer_text_2.value =
|
| 404 |
else:
|
| 405 |
answer_text_2.value = ""
|
| 406 |
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|
| 407 |
def save_annotation_data(df):
|
| 408 |
save_annotation(
|
| 409 |
select_dropdown_dataset.value,
|
| 410 |
# datasetIdは元のindex番号を使用
|
| 411 |
df.iloc[select_idx.value]['index'],
|
| 412 |
who.value,
|
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|
| 413 |
good.value,
|
| 414 |
bad.value,
|
| 415 |
-
unknown_quality.value, # 「分からない」の状態を追加
|
| 416 |
-
score.value,
|
| 417 |
is_proofreading_1.value,
|
| 418 |
answer_text_1.value,
|
| 419 |
is_proofreading_2.value,
|
| 420 |
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answer_text_2.value
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| 421 |
)
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| 422 |
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| 423 |
def initialize_next_data(df):
|
| 424 |
is_proofreading_1.value = False
|
| 425 |
is_proofreading_2.value = False
|
| 426 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 427 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 428 |
-
|
| 429 |
-
|
| 430 |
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|
| 431 |
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|
| 432 |
-
good_btn.click(
|
| 433 |
-
good_click,
|
| 434 |
-
inputs=[
|
| 435 |
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gr_answer_text_1,
|
| 436 |
-
gr_answer_text_3
|
| 437 |
-
],
|
| 438 |
-
outputs=[gr_question_text_1,
|
| 439 |
-
gr_answer_text_1,
|
| 440 |
-
gr_question_text_3,
|
| 441 |
-
gr_answer_text_3]
|
| 442 |
-
)
|
| 443 |
-
|
| 444 |
-
def unknown_click(input_ans_1, input_ans_3):
|
| 445 |
good.value = False
|
| 446 |
bad.value = False
|
| 447 |
-
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| 450 |
unknown_click,
|
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inputs=[
|
| 452 |
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],
|
| 455 |
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outputs=[
|
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| 459 |
)
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| 465 |
bad_click,
|
| 466 |
inputs=[
|
| 467 |
-
|
| 468 |
-
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| 469 |
],
|
| 470 |
-
outputs=[
|
| 471 |
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)
|
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|
| 476 |
# 5段階評価ボタンのクリックイベント
|
| 477 |
-
|
| 478 |
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| 488 |
# TODO Tab切り替えで、アノテ済みの一覧を表示する
|
| 489 |
# with gr.Tab("アノテ済みデータセット(管理画面)"):
|
| 490 |
# タブを切り替えた時にデータ表示を更新する
|
|
|
|
| 28 |
print("Warning: HF_TOKEN not found. Please set it in your Space secrets.")
|
| 29 |
|
| 30 |
# HFデータセット アップロード先
|
| 31 |
+
# (切り替えてテストする用に配列)
|
| 32 |
+
OUTPUT_DATASET = [
|
| 33 |
"team-hatakeyama-phase2/annotation_tanuki_phase2",
|
| 34 |
"kevineen/Tanuki-Phase2-annotation-dataset", # 出力テスト
|
| 35 |
]
|
| 36 |
|
| 37 |
# アノテーション対象データセット
|
| 38 |
+
ANNOTATION_DATASET = [
|
| 39 |
"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
|
| 40 |
"hatakeyama-llm-team/AutoGeneratedJapaneseQA-other",
|
| 41 |
"kanhatakeyama/ChatbotArenaJaMixtral8x22b",
|
|
|
|
| 46 |
# "hatakeyama-llm-team/WikiBookJa",
|
| 47 |
# "kanhatakeyama/AutoWikiQA",
|
| 48 |
# "susumuota/SyntheticTextWikiTranslate-askllm-v1", # Ask-LLM 翻訳
|
| 49 |
+
|
| 50 |
+
# Nomotron データ (将来用
|
| 51 |
]
|
| 52 |
|
| 53 |
+
MULTITURN_ANNOTATION_DATASET = [
|
| 54 |
# マルチターン 未対応
|
| 55 |
"kanhatakeyama/AutoMultiTurnByMixtral8x22b",
|
| 56 |
]
|
|
|
|
| 62 |
is_loaded_dataset = gr.State(False)
|
| 63 |
|
| 64 |
# 選択中のデータセットリスト
|
| 65 |
+
dropdown_dataset_list = gr.State(value=ANNOTATION_DATASET)
|
| 66 |
+
|
| 67 |
# 現在の対象データセット 初期値は"hatakeyama-llm-team/AutoGeneratedJapaneseQA",
|
| 68 |
select_dropdown_dataset = gr.State(dropdown_dataset_list.value[0])
|
| 69 |
select_dataset = gr.State(None) # 現在のデータセット
|
| 70 |
select_dataset_total_len = gr.State(0) # 現在のデータセットの長さ
|
| 71 |
select_idx = gr.State(0) # 現在のインデックス (ランダムモードにするなら不要？
|
| 72 |
+
# random_mode = gr.State(False) # ランダムモード
|
| 73 |
|
| 74 |
# 回答者がアノテーションしたデータセット
|
| 75 |
annotated_dataset = gr.State(
|
| 76 |
pd.DataFrame({
|
| 77 |
+
'dataset_name': [], # 対象データセット
|
| 78 |
+
'dataset_id': [], # データセットindex
|
| 79 |
+
'who': [], # アノテーション者名
|
| 80 |
+
'unknown_quality': [], # 不明能
|
| 81 |
+
'good': [], # 良
|
| 82 |
+
'bad': [], # 悪
|
| 83 |
+
'is_proofreading_1': [], # テキストに修正があったか
|
|
|
|
| 84 |
'answer_text_1': [],
|
| 85 |
+
'is_proofreading_2': [], # 2ターン目用
|
| 86 |
+
'answer_text_2': [], # 2ターン目用
|
| 87 |
+
|
| 88 |
+
# 5段階評価
|
| 89 |
+
'score': [], # 総合 (5段階評価)
|
| 90 |
+
'helphulness': [], # 有用性 (5段階評価)
|
| 91 |
+
'correcthness': [], # 正確さ (5段階評価)
|
| 92 |
+
'coherence': [], # 一貫性 (5段階評価)
|
| 93 |
+
'complexity': [], # 複雑さ (5段階評価)
|
| 94 |
+
'verbosity': [], # 冗長性 (5段階評価)
|
| 95 |
+
'humor': [], # ユーモア (SteerLM)
|
| 96 |
+
'creativity': [], # 創造性 (SteerLM)
|
| 97 |
+
'appropriate': [], # 適切性 (SteerLMでは不適)
|
| 98 |
+
'following_instructions': [], # 指示が合った場合、従っているか (SteerLMのfails_taskに該当)
|
| 99 |
+
'politeness': [], # 礼儀正しさ (minnadechat)
|
| 100 |
+
'harmfulness': [], # 有性 (minnadechat)
|
| 101 |
+
|
| 102 |
+
# 0: 分からない(未設定) 1: 無 2: 有
|
| 103 |
+
'typos': [], # 誤字脱字 (minnadechat)
|
| 104 |
+
'hate': [], # ヘイト
|
| 105 |
+
'sexual': [], # 性的
|
| 106 |
+
'violence': [], # 暴力
|
| 107 |
+
'suicide': [], # 自殺
|
| 108 |
+
'threat': [], # 犯罪
|
| 109 |
+
'gun': [], # 重火器
|
| 110 |
+
'controlled_substance': [], # 規制対象物質
|
| 111 |
+
'climinal_planing': [], # 犯罪計画
|
| 112 |
+
'privacy': [], # 個人情報
|
| 113 |
+
'harassment': [], # ハラスメント
|
| 114 |
+
'profanity': [], # 冒涜
|
| 115 |
+
'political_content': [], # 政治的内容 (SteerLM)
|
| 116 |
+
'moral_judgement': [], # 非道徳 (SteerLM)
|
| 117 |
})
|
| 118 |
)
|
| 119 |
|
| 120 |
+
is_dataset_loaded = gr.State(False) # データセットロード状態
|
|
|
|
|
|
|
|
|
|
| 121 |
|
| 122 |
you_dataset_id = gr.State(0) # 回答者がアノテーションしているデータのID
|
| 123 |
dataset_name = gr.State("") # 編集に使用したデータセット名
|
| 124 |
dataset_id = gr.State(0) # 加工元データセットのindex
|
| 125 |
who = gr.State("") # アノテーション者名
|
| 126 |
+
|
| 127 |
+
# シンプルモード
|
| 128 |
+
unknown_quality = gr.State(False) # 分からない(未設定)
|
| 129 |
good = gr.State(False) # 良
|
| 130 |
bad = gr.State(False) # 悪
|
| 131 |
+
|
| 132 |
+
initial_answer_text_1 = gr.State("") # 回��1を整形したかチェック用
|
| 133 |
+
initial_answer_text_2 = gr.State("") # 回答2を整形したかチェック用
|
| 134 |
+
|
| 135 |
is_proofreading_1 = gr.State(False) # 回答1を整形したか_1
|
| 136 |
answer_text_1 = gr.State("") # answer_1 回答
|
| 137 |
is_proofreading_2 = gr.State(False) # 回答2を整形したか_2
|
| 138 |
answer_text_2 = gr.State("") # answer_2 回答
|
| 139 |
|
| 140 |
+
# (5段階評価)
|
| 141 |
+
# 0は判断していない、又は判断が難しいという特徴量にする
|
| 142 |
+
score = gr.State(3) # 総合スコア 初期値は3 (最低限必須)
|
| 143 |
+
helphulness = gr.State(0) # 有用性
|
| 144 |
+
correcthness = gr.State(0) # 正確さ
|
| 145 |
+
coherenece = gr.State(0) # 一貫性
|
| 146 |
+
complexity = gr.State(0) # 複雑さ
|
| 147 |
+
verbosity = gr.State(0) # 冗長性
|
| 148 |
+
humor = gr.State(0) # ユーモア (SteerLM)
|
| 149 |
+
creativity = gr.State(0) # 創造性 (SteerLM)
|
| 150 |
+
appropriate = gr.State(0) # 適切性 (SteerLMではnot_appropriate)
|
| 151 |
+
following_instructions = gr.State(0) # 指示への忠実度 (SteerLMのfails_task)
|
| 152 |
+
politeness = gr.State(0) # 礼儀正しさ (minnadechat)
|
| 153 |
+
harmfulness = gr.State(0) # 有度 (minnadechat)
|
| 154 |
+
|
| 155 |
+
# (有無評価)
|
| 156 |
+
# 0は判断していない、又は判断が難しいという特徴量にする
|
| 157 |
+
hate = gr.State(0) # ヘイト
|
| 158 |
+
sexual = gr.State(0) # 性的
|
| 159 |
+
violence = gr.State(0) # 暴力
|
| 160 |
+
suicide = gr.State(0) # 自殺
|
| 161 |
+
threat = gr.State(0) # 犯罪
|
| 162 |
+
gun = gr.State(0) # 銃・重火器
|
| 163 |
+
controlled_substance = gr.State(0) # 規制対象物質
|
| 164 |
+
climinal_planing = gr.State(0) # 犯罪計画
|
| 165 |
+
privacy = gr.State(0) # 個人情報・プライバシー情報
|
| 166 |
+
harassment = gr.State(0) # ハラスメント
|
| 167 |
+
profanity = gr.State(0) # 冒涜
|
| 168 |
+
political_content = gr.State(0) # 政治的内容 (SteerLM)
|
| 169 |
+
moral_judgement = gr.State(0) # 非道徳 (SteerLM)
|
| 170 |
+
typos = gr.State(0) # 誤字脱字(minnadechat)
|
| 171 |
+
|
| 172 |
+
# 未整理 ========================================
|
| 173 |
+
|
| 174 |
+
# データセット読み込み
|
| 175 |
def dataset_load_fn() -> Tuple[
|
| 176 |
str,
|
| 177 |
str,
|
| 178 |
str,
|
| 179 |
str,
|
| 180 |
+
str,
|
| 181 |
+
str,
|
| 182 |
+
gr.update,
|
| 183 |
+
gr.update,
|
| 184 |
+
gr.update,
|
| 185 |
+
gr.update,
|
| 186 |
+
gr.update,
|
| 187 |
+
gr.update,
|
| 188 |
+
gr.update,
|
| 189 |
+
gr.update,
|
| 190 |
+
gr.update,
|
| 191 |
+
gr.update,
|
| 192 |
+
gr.update,
|
| 193 |
+
gr.update,
|
| 194 |
+
gr.update,
|
| 195 |
+
gr.update,
|
| 196 |
+
gr.update,
|
| 197 |
+
gr.update,
|
| 198 |
+
gr.update,
|
| 199 |
+
gr.update,
|
| 200 |
+
gr.update,
|
| 201 |
+
gr.update,
|
| 202 |
+
gr.update,
|
| 203 |
+
gr.update,
|
| 204 |
+
gr.update,
|
| 205 |
+
gr.update,
|
| 206 |
+
gr.update,
|
| 207 |
+
gr.update,
|
| 208 |
+
gr.update,
|
| 209 |
+
gr.update,
|
| 210 |
+
gr.update,
|
| 211 |
gr.update,
|
| 212 |
gr.update,
|
| 213 |
gr.update,
|
|
|
|
| 216 |
gr.update,
|
| 217 |
gr.update,
|
| 218 |
gr.update,
|
| 219 |
+
gr.update,
|
| 220 |
+
gr.update,
|
| 221 |
+
]:
|
| 222 |
|
| 223 |
+
is_dataset_loaded.value = False # ロード状態初期化
|
| 224 |
|
| 225 |
select_dataset.value = load_dataset(
|
| 226 |
select_dropdown_dataset.value
|
|
|
|
| 229 |
# DatasetオブジェクトをPandas DataFrameに変換
|
| 230 |
df = select_dataset.value["train"].to_pandas()
|
| 231 |
|
| 232 |
+
# ランダム化実施
|
| 233 |
# index列を追加し、シャッフル
|
| 234 |
df = df.reset_index(drop=False) # 元のindexを保持
|
| 235 |
df = df.sample(frac=1).reset_index(drop=True) # シャッフル
|
|
|
|
| 239 |
select_dataset_total_len.value = len(df) # 長さを取得
|
| 240 |
is_dataset_loaded.value = True # ロード完了
|
| 241 |
|
| 242 |
+
# データロード時にテキストの初期値を設定
|
| 243 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 244 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 245 |
|
|
|
|
| 247 |
df.iloc[select_idx.value]["answer"], \
|
| 248 |
df.iloc[select_idx.value]["question"], \
|
| 249 |
df.iloc[select_idx.value]["answer"], \
|
| 250 |
+
df.iloc[select_idx.value]["question"], \
|
| 251 |
+
df.iloc[select_idx.value]["answer"], \
|
| 252 |
+
gr.update(interactive=True), \
|
| 253 |
+
gr.update(interactive=True), \
|
| 254 |
+
gr.update(interactive=True), \
|
| 255 |
+
gr.update(interactive=True), \
|
| 256 |
+
gr.update(interactive=True), \
|
| 257 |
+
gr.update(interactive=True), \
|
| 258 |
+
gr.update(interactive=True), \
|
| 259 |
+
gr.update(interactive=True), \
|
| 260 |
+
gr.update(interactive=True), \
|
| 261 |
+
gr.update(interactive=True), \
|
| 262 |
+
gr.update(interactive=True), \
|
| 263 |
+
gr.update(interactive=True), \
|
| 264 |
+
gr.update(interactive=True), \
|
| 265 |
+
gr.update(interactive=True), \
|
| 266 |
+
gr.update(interactive=True), \
|
| 267 |
+
gr.update(interactive=True), \
|
| 268 |
+
gr.update(interactive=True), \
|
| 269 |
+
gr.update(interactive=True), \
|
| 270 |
+
gr.update(interactive=True), \
|
| 271 |
+
gr.update(interactive=True), \
|
| 272 |
+
gr.update(interactive=True), \
|
| 273 |
+
gr.update(interactive=True), \
|
| 274 |
+
gr.update(interactive=True), \
|
| 275 |
+
gr.update(interactive=True), \
|
| 276 |
+
gr.update(interactive=True), \
|
| 277 |
+
gr.update(interactive=True), \
|
| 278 |
+
gr.update(interactive=True), \
|
| 279 |
+
gr.update(interactive=True), \
|
| 280 |
+
gr.update(interactive=True), \
|
| 281 |
+
gr.update(interactive=True), \
|
| 282 |
+
gr.update(interactive=True), \
|
| 283 |
gr.update(interactive=True), \
|
| 284 |
gr.update(interactive=True), \
|
| 285 |
gr.update(interactive=True), \
|
|
|
|
| 298 |
annotated_folder = annotation_file.parent
|
| 299 |
|
| 300 |
scheduler = CommitScheduler(
|
| 301 |
+
repo_id=OUTPUT_DATASET[1],
|
| 302 |
repo_type="dataset",
|
| 303 |
folder_path=annotated_folder,
|
| 304 |
path_in_repo="data", # Spaceの場合の保存先フォルダー
|
|
|
|
| 306 |
every=5, # 5分毎にアップロード HuggingFAce_Documentの最低推奨値
|
| 307 |
)
|
| 308 |
|
| 309 |
+
# チェックボックスをintに変換
|
| 310 |
+
def checkbox_to_int(checkbox_value) -> int:
|
| 311 |
+
if checkbox_value == "不明":
|
| 312 |
+
output = 0
|
| 313 |
+
elif checkbox_value == "有":
|
| 314 |
+
output = 1
|
| 315 |
+
elif checkbox_value == "無":
|
| 316 |
+
output = 2
|
| 317 |
+
else :
|
| 318 |
+
output = 0
|
| 319 |
+
print("error: ")
|
| 320 |
+
return output
|
| 321 |
+
|
| 322 |
# CommitScheduler (HFへのデータアップロード
|
| 323 |
def save_annotation(
|
| 324 |
dataset_name: str,
|
| 325 |
dataset_id: int,
|
| 326 |
who: str,
|
| 327 |
+
unknown_quality: bool,
|
| 328 |
good: bool,
|
| 329 |
bad: bool,
|
|
|
|
|
|
|
| 330 |
is_proofreading_1: bool,
|
| 331 |
answer_text_1: str,
|
| 332 |
is_proofreading_2: bool,
|
| 333 |
+
answer_text_2: str,
|
| 334 |
+
score: int,
|
| 335 |
+
helphulness: int,
|
| 336 |
+
correcthness: int,
|
| 337 |
+
coherence: int,
|
| 338 |
+
complexity: int,
|
| 339 |
+
verbosity: int,
|
| 340 |
+
humor: int,
|
| 341 |
+
creativity: int,
|
| 342 |
+
appropriate: int,
|
| 343 |
+
following_instructions: int,
|
| 344 |
+
politeness: int,
|
| 345 |
+
harmfulness: int,
|
| 346 |
+
hate: int,
|
| 347 |
+
sexual: int,
|
| 348 |
+
violence: int,
|
| 349 |
+
suicide: int,
|
| 350 |
+
threat: int,
|
| 351 |
+
gun: int,
|
| 352 |
+
controlled_substance: int,
|
| 353 |
+
climinal_planing: int,
|
| 354 |
+
privacy: int,
|
| 355 |
+
harassment: int,
|
| 356 |
+
profanity: int,
|
| 357 |
+
political_content: int,
|
| 358 |
+
moral_judgement: int,
|
| 359 |
+
typos: int,
|
| 360 |
+
) -> None:
|
| 361 |
|
| 362 |
annotated_dataset.value = pd.concat([
|
| 363 |
annotated_dataset.value,
|
|
|
|
| 365 |
'dataset_name': [dataset_name],
|
| 366 |
'dataset_id': [dataset_id],
|
| 367 |
'who': [who],
|
| 368 |
+
'unknown_quality': [unknown_quality],
|
| 369 |
'good': [good],
|
| 370 |
'bad': [bad],
|
|
|
|
|
|
|
| 371 |
'is_proofreading_1': [is_proofreading_1],
|
| 372 |
"answer_text_1": [answer_text_1],
|
| 373 |
'is_proofreading_2': [is_proofreading_2],
|
| 374 |
+
'answer_text_2': [answer_text_2],
|
| 375 |
+
'score': [score],
|
| 376 |
+
'helphullness': [helphulness],
|
| 377 |
+
'correcthness': [correcthness],
|
| 378 |
+
'complexity': [complexity],
|
| 379 |
+
'verbosity': [verbosity],
|
| 380 |
+
'humor': [humor],
|
| 381 |
+
'creativity': [creativity],
|
| 382 |
+
'appropriate': [appropriate],
|
| 383 |
+
'following_finstructions': [following_instructions],
|
| 384 |
+
'politeness': [politeness],
|
| 385 |
+
'harmfulness': [harmfulness],
|
| 386 |
+
'hate': [hate],
|
| 387 |
+
'sextual': [sexual],
|
| 388 |
+
'violence': [violence],
|
| 389 |
+
'suicide': [suicide],
|
| 390 |
+
'threat': [threat],
|
| 391 |
+
'gun': [gun],
|
| 392 |
+
'controlled_substance': [controlled_substance],
|
| 393 |
+
'climinal_planing': [climinal_planing],
|
| 394 |
+
'privacy': [privacy],
|
| 395 |
+
'harassment': [harassment],
|
| 396 |
+
'profanity': [profanity],
|
| 397 |
+
'political_content': [political_content],
|
| 398 |
+
'moral_judgement': [moral_judgement],
|
| 399 |
+
'types': [typos]
|
| 400 |
})], ignore_index=True).reset_index(drop=True)
|
| 401 |
|
| 402 |
# 書き込み
|
| 403 |
with scheduler.lock:
|
| 404 |
with annotation_file.open("a", encoding='utf-8') as f:
|
| 405 |
data_to_write = {
|
| 406 |
+
# "id": , CommitSchedulerは、取得して末尾idを付与することが不可能？
|
| 407 |
"datetime": str(datetime.datetime.now().isoformat()),
|
| 408 |
"dataset_name": dataset_name,
|
| 409 |
"dataset_id": int(dataset_id),
|
| 410 |
"who": who,
|
| 411 |
+
"unknown_quality": unknown_quality,
|
| 412 |
"good": good,
|
| 413 |
"bad": bad,
|
|
|
|
|
|
|
| 414 |
"is_proofreading_1": is_proofreading_1,
|
| 415 |
"answer_text_1": answer_text_1,
|
| 416 |
"is_proofreading_2": is_proofreading_2,
|
| 417 |
"answer_text_2": answer_text_2,
|
| 418 |
+
"score": int(score),
|
| 419 |
+
"helphulness": int(helphulness),
|
| 420 |
+
"correcthness": int(correcthness),
|
| 421 |
+
"coherence": int(coherence),
|
| 422 |
+
"complexity": int(complexity),
|
| 423 |
+
"verbosity": int(verbosity),
|
| 424 |
+
"humor": int(humor),
|
| 425 |
+
"creativity": int(creativity),
|
| 426 |
+
"appropriate": int(appropriate),
|
| 427 |
+
"following_instructions": int(following_instructions),
|
| 428 |
+
"politeness": int(politeness),
|
| 429 |
+
"harmfulness": int(harmfulness),
|
| 430 |
+
"hate": int(hate),
|
| 431 |
+
"sexual": int(sexual),
|
| 432 |
+
"violence": int(violence),
|
| 433 |
+
"suicide": int(suicide),
|
| 434 |
+
"threat": int(threat),
|
| 435 |
+
"gun": int(gun),
|
| 436 |
+
"controlled_substance": int(controlled_substance),
|
| 437 |
+
"climinal_planing": int(climinal_planing),
|
| 438 |
+
"privacy": int(privacy),
|
| 439 |
+
"harassment": int(harassment),
|
| 440 |
+
"profanity": int(profanity),
|
| 441 |
+
"policital_content": int(political_content),
|
| 442 |
+
"moral_judgement": int(moral_judgement),
|
| 443 |
+
"typos": int(typos)
|
| 444 |
}
|
| 445 |
f.write(json.dumps(data_to_write, ensure_ascii=False))
|
| 446 |
f.write("\n")
|
|
|
|
| 452 |
|
| 453 |
# ユーザー名表示
|
| 454 |
|
|
|
|
| 455 |
def hello(profile: gr.OAuthProfile | None) -> Tuple[str, str]:
|
| 456 |
if profile is None:
|
| 457 |
return "プライベートデータセット取得のためにログインしてください。", who.value
|
|
|
|
| 463 |
theme_ = gr.themes.Default()
|
| 464 |
|
| 465 |
# 後のCSSデザイン変更用
|
|
|
|
|
|
|
| 466 |
def load_css():
|
| 467 |
with open("style.css", "r") as file:
|
| 468 |
css_content = file.read()
|
| 469 |
return css_content
|
| 470 |
|
|
|
|
| 471 |
# Gradio 画面 ============================================
|
| 472 |
with gr.Blocks(theme=theme_, css=load_css()) as demo:
|
| 473 |
|
| 474 |
gr.Markdown("# データセット アノテーション for Tanuki (Phase2)")
|
| 475 |
+
|
| 476 |
+
with gr.Row():
|
| 477 |
+
gr.Markdown("### GENIACにて開発中のLLM用データセットに対してアノテーションするSpaceです\n \
|
| 478 |
+
入力されたデータは使用される可能性があるため、個人情報・秘匿情報などは入力しないでください。\n \
|
| 479 |
+
テスト中です。")
|
| 480 |
+
gr_who = gr.TextArea(value=who.value, lines=1, max_lines=1, label="ユーザー名 (入力してください)")
|
| 481 |
+
|
| 482 |
+
def change_name(name: str):
|
| 483 |
+
who.value = name
|
| 484 |
+
|
| 485 |
+
gr_who.change(
|
| 486 |
+
change_name,
|
| 487 |
+
inputs=[gr_who],
|
| 488 |
+
outputs=[]
|
| 489 |
+
)
|
| 490 |
|
| 491 |
with gr.Tab("アノテーション (シングルターン)"):
|
| 492 |
|
| 493 |
+
# HF login 機能
|
| 494 |
+
# with gr.Row(equal_height=True):
|
| 495 |
+
# gr.LoginButton(value="HuggingFace ログイン",
|
| 496 |
+
# logout_value="HuggingFace ログアウト", scale=1)
|
|
|
|
| 497 |
# ユーザー名
|
| 498 |
+
# gr_profile_name = gr.Markdown()
|
| 499 |
+
# demo.load(hello, inputs=None, outputs=[gr_profile_name, who])
|
| 500 |
|
| 501 |
with gr.Row():
|
| 502 |
|
|
|
|
| 519 |
gr_data_load_btn = gr.Button("② データセットを読み込む")
|
| 520 |
|
| 521 |
with gr.Column() as content_column:
|
| 522 |
+
|
| 523 |
with gr.Tab("③ シンプル(良・悪)"):
|
| 524 |
with gr.Column():
|
| 525 |
with gr.Row(equal_height=True):
|
| 526 |
+
gr_good_btn = gr.Button("良い", interactive=False)
|
| 527 |
+
gr_unknown_btn = gr.Button(
|
| 528 |
"分からない", interactive=False) # 「分からない」ボタンを追加
|
| 529 |
+
gr_bad_btn = gr.Button("悪い", interactive=False)
|
| 530 |
|
| 531 |
+
gr_question_text_1_1 = gr.Textbox(
|
| 532 |
label="質問: ", lines=5, interactive=False)
|
| 533 |
|
| 534 |
+
gr_answer_text_1_1 = gr.Textbox(
|
| 535 |
+
label="回答: 訂正して頂けると、品質が上がります。",
|
| 536 |
lines=20,
|
| 537 |
+
interactive=False)
|
| 538 |
+
|
| 539 |
+
with gr.Tab("③ ５段階評価(シンプル)"):
|
| 540 |
+
|
| 541 |
+
with gr.Row() as simple_score_btn:
|
| 542 |
+
gr_score_5_btn = gr.Button("5: 高品質", interactive=False)
|
| 543 |
+
gr_score_4_btn = gr.Button("4: 良い", interactive=False)
|
| 544 |
+
gr_score_3_btn = gr.Button("3: 普通", interactive=False)
|
| 545 |
+
gr_score_2_btn = gr.Button("2: 悪い", interactive=False)
|
| 546 |
+
gr_score_1_btn = gr.Button("1: 低品質", interactive=False)
|
| 547 |
+
|
| 548 |
+
gr_question_text_2_1 = gr.Textbox(
|
| 549 |
+
label="質問: ", lines=5, interactive=False)
|
| 550 |
+
|
| 551 |
+
gr_answer_text_2_1 = gr.Textbox(
|
| 552 |
+
label="回答: 訂正して頂けると、品質が上がります。", lines=20, interactive=False)
|
| 553 |
+
|
| 554 |
+
with gr.Tab("③ ５段階評価 (詳細)"):
|
| 555 |
+
|
| 556 |
+
with gr.Row():
|
| 557 |
+
|
| 558 |
+
with gr.Column() as EvalFive:
|
| 559 |
+
|
| 560 |
+
gr_question_text_3_1 = gr.Textbox(
|
| 561 |
+
label="質問: ", lines=10, interactive=False)
|
| 562 |
+
|
| 563 |
+
# gr_explain = gr.Markdown("回答")
|
| 564 |
+
|
| 565 |
+
gr_answer_text_3_1 = gr.Textbox(
|
| 566 |
+
label="回答: 訂正して頂けると、品質が上がります。", lines=35, interactive=False)
|
| 567 |
+
|
| 568 |
+
with gr.Column() as EvalFiveDetail:
|
| 569 |
+
|
| 570 |
+
with gr.Row():
|
| 571 |
+
gr_submit_score = gr.Button("評価送信", interactive=False)
|
| 572 |
+
gr_score_reset = gr.Button("スコアリセット", interactive=False)
|
| 573 |
+
|
| 574 |
+
gr_score_detail = gr.Slider(label="総合スコア 【必須】",value=3, minimum=1, maximum=5, step=1, interactive=False)
|
| 575 |
+
gr_evalannotation_explain = gr.Markdown("詳細アノテーション (5点満点)")
|
| 576 |
+
|
| 577 |
+
with gr.Row() :
|
| 578 |
+
gr_helphulness = gr.Slider(label="有用性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 579 |
+
gr_correcthness = gr.Slider(label="正確さ", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 580 |
+
gr_coherence = gr.Slider(label="一貫性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 581 |
+
gr_complexity = gr.Slider(label="複雑さ", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 582 |
+
|
| 583 |
+
with gr.Row() :
|
| 584 |
+
gr_verbosity = gr.Slider(label="冗長性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 585 |
+
gr_humor = gr.Slider(label="ユーモア", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 586 |
+
gr_creativity = gr.Slider(label="創造性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 587 |
+
gr_appropriate = gr.Slider(label="適切性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 588 |
+
|
| 589 |
+
with gr.Row() :
|
| 590 |
+
gr_following_instructions = gr.Slider(label="忠実性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 591 |
+
gr_politeness = gr.Slider(label="礼儀正しさ", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 592 |
+
gr_harmfulness = gr.Slider(label="有害性", minimum=0, value=0, maximum=5, step=1, interactive=False)
|
| 593 |
+
gr_text_4 = gr.Markdown("判断可能な物のみ\n\nスコアを付けてください。")
|
| 594 |
+
|
| 595 |
+
gr_text_5 = gr.Markdown("")
|
| 596 |
+
|
| 597 |
+
with gr.Row():
|
| 598 |
+
gr_typos = gr.Radio(label="誤字・脱字", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 599 |
+
gr_moral_judgement = gr.Radio(label="非道徳", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 600 |
+
|
| 601 |
+
with gr.Row():
|
| 602 |
+
gr_hate = gr.Radio(label="ヘイト", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 603 |
+
gr_sexual = gr.Radio(label="性的内容", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 604 |
+
|
| 605 |
+
with gr.Row():
|
| 606 |
+
gr_violence = gr.Radio(label="暴力的", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 607 |
+
gr_suicide = gr.Radio(label="自殺行為", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 608 |
+
|
| 609 |
+
with gr.Row():
|
| 610 |
+
gr_threat = gr.Radio(label="犯罪", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 611 |
+
gr_gun = gr.Radio(label="銃等", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 612 |
+
|
| 613 |
+
with gr.Row():
|
| 614 |
+
gr_controlled_substance = gr.Radio(label="規制対象物質", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 615 |
+
gr_climinal_planing = gr.Radio(label="犯罪計画", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 616 |
+
|
| 617 |
+
with gr.Row():
|
| 618 |
+
gr_privacy = gr.Radio(label="個人情報", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 619 |
+
gr_harassment = gr.Radio(label="ハラスメント", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 620 |
+
|
| 621 |
+
with gr.Row():
|
| 622 |
+
gr_profanity = gr.Radio(label="冒涜行為", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 623 |
+
gr_political_content = gr.Radio(label="政治的内容", choices=["不明", "有", "無"], value="不明", interactive=False)
|
| 624 |
+
|
| 625 |
+
|
| 626 |
+
# 5段階評価 詳細のgr.State Update
|
| 627 |
+
def eval_submit(
|
| 628 |
+
# text
|
| 629 |
+
g_answer_text_3_1: str,
|
| 630 |
+
|
| 631 |
+
# slicer
|
| 632 |
+
g_score: int,
|
| 633 |
+
g_helphulness: int,
|
| 634 |
+
g_correcthness: int,
|
| 635 |
+
g_coherenece: int,
|
| 636 |
+
g_complexity: int,
|
| 637 |
+
g_verbosity: int,
|
| 638 |
+
g_humor: int,
|
| 639 |
+
g_creativity: int,
|
| 640 |
+
g_appropriate: int,
|
| 641 |
+
g_following_instructions: int,
|
| 642 |
+
g_politeness: int,
|
| 643 |
+
g_harmfulness: int,
|
| 644 |
+
|
| 645 |
+
# checkbox
|
| 646 |
+
g_hate: str,
|
| 647 |
+
g_sexual: str,
|
| 648 |
+
g_violence: str,
|
| 649 |
+
g_suicide: str,
|
| 650 |
+
g_threat: str,
|
| 651 |
+
g_gun: str,
|
| 652 |
+
g_controlled_substance: str,
|
| 653 |
+
g_climinal_planing: str,
|
| 654 |
+
g_privacy: str,
|
| 655 |
+
g_harassment: str,
|
| 656 |
+
g_profanity: str,
|
| 657 |
+
g_political_content: str,
|
| 658 |
+
g_moral_judgement: str,
|
| 659 |
+
g_typos: str,
|
| 660 |
+
):
|
| 661 |
+
# 状態初期化
|
| 662 |
+
good.value = False
|
| 663 |
+
bad.value = False
|
| 664 |
+
unknown_quality.value = False
|
| 665 |
+
|
| 666 |
+
# テキストに更新があったかどうかチェック
|
| 667 |
+
if initial_answer_text_1.value != g_answer_text_3_1:
|
| 668 |
+
is_proofreading_1.value = True
|
| 669 |
+
answer_text_1.value = g_answer_text_3_1
|
| 670 |
+
else:
|
| 671 |
+
is_proofreading_1.value = False
|
| 672 |
+
answer_text_1.value = ""
|
| 673 |
+
|
| 674 |
+
# 送信用データ更新
|
| 675 |
+
score.value = g_score
|
| 676 |
+
helphulness.value = g_helphulness
|
| 677 |
+
correcthness.value = g_correcthness
|
| 678 |
+
coherenece.value = g_coherenece
|
| 679 |
+
complexity.value = g_complexity
|
| 680 |
+
verbosity.value = g_verbosity
|
| 681 |
+
humor.value = g_humor
|
| 682 |
+
creativity.value = g_creativity
|
| 683 |
+
appropriate.value = g_appropriate
|
| 684 |
+
following_instructions.value = g_following_instructions
|
| 685 |
+
politeness.value = g_politeness
|
| 686 |
+
harmfulness.value = g_harmfulness
|
| 687 |
+
|
| 688 |
+
hate.value = checkbox_to_int(g_hate)
|
| 689 |
+
sexual.value = checkbox_to_int(g_sexual)
|
| 690 |
+
violence.value = checkbox_to_int(g_violence)
|
| 691 |
+
suicide.value = checkbox_to_int(g_suicide)
|
| 692 |
+
threat.value = checkbox_to_int(g_threat)
|
| 693 |
+
gun.value = checkbox_to_int(g_gun)
|
| 694 |
+
controlled_substance.value = checkbox_to_int(g_controlled_substance)
|
| 695 |
+
climinal_planing.value = checkbox_to_int(g_climinal_planing)
|
| 696 |
+
privacy.value = checkbox_to_int(g_privacy)
|
| 697 |
+
harassment.value = checkbox_to_int(g_harassment)
|
| 698 |
+
profanity.value = checkbox_to_int(g_profanity)
|
| 699 |
+
political_content.value = checkbox_to_int(g_political_content)
|
| 700 |
+
moral_judgement.value = checkbox_to_int(g_moral_judgement)
|
| 701 |
+
typos.value = checkbox_to_int(g_typos)
|
| 702 |
+
|
| 703 |
+
# データ送信
|
| 704 |
+
|
| 705 |
+
# 表示更新
|
| 706 |
+
# indexを進める
|
| 707 |
+
select_idx.value += 1
|
| 708 |
|
| 709 |
+
df = select_dataset.value["train"]
|
| 710 |
|
| 711 |
+
# ループさせるか、エラー処理を行う
|
| 712 |
+
if select_idx.value >= len(df):
|
| 713 |
+
select_idx.value = 0
|
| 714 |
|
| 715 |
+
# データセットに追加
|
| 716 |
+
df = select_dataset.value["train"]
|
| 717 |
+
save_annotation(
|
| 718 |
+
select_dropdown_dataset.value,
|
| 719 |
+
df.iloc[select_idx.value]['index'],
|
| 720 |
+
who.value,
|
| 721 |
+
unknown_quality.value,
|
| 722 |
+
good.value,
|
| 723 |
+
bad.value,
|
| 724 |
+
is_proofreading_1.value,
|
| 725 |
+
answer_text_1.value,
|
| 726 |
+
is_proofreading_2.value,
|
| 727 |
+
answer_text_2.value,
|
| 728 |
+
score.value,
|
| 729 |
+
helphulness.value,
|
| 730 |
+
correcthness.value,
|
| 731 |
+
coherenece.value,
|
| 732 |
+
complexity.value,
|
| 733 |
+
verbosity.value,
|
| 734 |
+
humor.value,
|
| 735 |
+
creativity.value,
|
| 736 |
+
appropriate.value,
|
| 737 |
+
following_instructions.value,
|
| 738 |
+
politeness.value,
|
| 739 |
+
harmfulness.value,
|
| 740 |
+
hate.value,
|
| 741 |
+
sexual.value,
|
| 742 |
+
violence.value,
|
| 743 |
+
suicide.value,
|
| 744 |
+
threat.value,
|
| 745 |
+
gun.value,
|
| 746 |
+
controlled_substance.value,
|
| 747 |
+
climinal_planing.value,
|
| 748 |
+
privacy.value,
|
| 749 |
+
harassment.value,
|
| 750 |
+
profanity.value,
|
| 751 |
+
political_content.value,
|
| 752 |
+
moral_judgement.value,
|
| 753 |
+
typos.value,
|
| 754 |
+
)
|
| 755 |
|
| 756 |
+
# Nextデータ初期化
|
| 757 |
+
initialize_next_data(df)
|
| 758 |
+
|
| 759 |
+
# 5段階評価をリセット
|
| 760 |
+
score_reset_display()
|
| 761 |
+
|
| 762 |
+
# UI更新のための返り値
|
| 763 |
+
return gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 764 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 765 |
+
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 766 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 767 |
+
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 768 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 769 |
+
*score_reset_display() # スコアリセット用の返り値
|
| 770 |
+
|
| 771 |
+
gr_submit_score.click(
|
| 772 |
+
eval_submit,
|
| 773 |
+
inputs=[
|
| 774 |
+
gr_answer_text_3_1,
|
| 775 |
+
gr_score_detail,
|
| 776 |
+
gr_helphulness,
|
| 777 |
+
gr_correcthness,
|
| 778 |
+
gr_coherence,
|
| 779 |
+
gr_complexity,
|
| 780 |
+
gr_verbosity,
|
| 781 |
+
gr_humor,
|
| 782 |
+
gr_creativity,
|
| 783 |
+
gr_appropriate,
|
| 784 |
+
gr_following_instructions,
|
| 785 |
+
gr_politeness,
|
| 786 |
+
gr_harmfulness,
|
| 787 |
+
gr_hate,
|
| 788 |
+
gr_sexual,
|
| 789 |
+
gr_violence,
|
| 790 |
+
gr_suicide,
|
| 791 |
+
gr_threat,
|
| 792 |
+
gr_gun,
|
| 793 |
+
gr_controlled_substance,
|
| 794 |
+
gr_climinal_planing,
|
| 795 |
+
gr_privacy,
|
| 796 |
+
gr_harassment,
|
| 797 |
+
gr_profanity,
|
| 798 |
+
gr_political_content,
|
| 799 |
+
gr_moral_judgement,
|
| 800 |
+
gr_typos
|
| 801 |
+
],
|
| 802 |
+
# UI更新
|
| 803 |
+
outputs=[
|
| 804 |
+
gr_question_text_1_1,
|
| 805 |
+
gr_answer_text_1_1,
|
| 806 |
+
gr_question_text_2_1,
|
| 807 |
+
gr_answer_text_2_1,
|
| 808 |
+
gr_question_text_3_1,
|
| 809 |
+
gr_answer_text_3_1,
|
| 810 |
+
gr_score_detail,
|
| 811 |
+
gr_helphulness,
|
| 812 |
+
gr_correcthness,
|
| 813 |
+
gr_coherence,
|
| 814 |
+
gr_complexity,
|
| 815 |
+
gr_verbosity,
|
| 816 |
+
gr_humor,
|
| 817 |
+
gr_creativity,
|
| 818 |
+
gr_appropriate,
|
| 819 |
+
gr_following_instructions,
|
| 820 |
+
gr_politeness,
|
| 821 |
+
gr_harmfulness,
|
| 822 |
+
gr_hate,
|
| 823 |
+
gr_sexual,
|
| 824 |
+
gr_violence,
|
| 825 |
+
gr_suicide,
|
| 826 |
+
gr_threat,
|
| 827 |
+
gr_gun,
|
| 828 |
+
gr_controlled_substance,
|
| 829 |
+
gr_climinal_planing,
|
| 830 |
+
gr_privacy,
|
| 831 |
+
gr_harassment,
|
| 832 |
+
gr_profanity,
|
| 833 |
+
gr_political_content,
|
| 834 |
+
gr_moral_judgement,
|
| 835 |
+
gr_typos
|
| 836 |
+
],
|
| 837 |
+
)
|
| 838 |
|
| 839 |
# 5段階評価ボタンのクリックイベントを定義
|
| 840 |
def score_button_clicked(button_value):
|
| 841 |
+
# 状態初期化
|
| 842 |
good.value = False
|
| 843 |
bad.value = False
|
| 844 |
+
unknown_quality.value = False
|
| 845 |
+
score.value = button_value
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 846 |
|
| 847 |
+
# 5段階評価クリック
|
| 848 |
def update_annotation(
|
| 849 |
input_ans_1: str = None,
|
| 850 |
+
input_ans_2: str = None,
|
| 851 |
is_good: bool = None, # good/bad を表すフラグを追加
|
| 852 |
is_unknown: bool = None, # 「分からない」を表すフラグを追加
|
| 853 |
+
is_simple: bool = None,
|
| 854 |
score_value: int = None # 5段階評価の値、good/badの場合はNone
|
| 855 |
+
) -> Tuple[
|
| 856 |
+
gr.update,
|
| 857 |
+
gr.update,
|
| 858 |
+
gr.update,
|
| 859 |
+
gr.update,
|
| 860 |
+
gr.update,
|
| 861 |
+
]:
|
| 862 |
|
| 863 |
# good/bad/unknown と score の状態を更新
|
| 864 |
update_evaluation_state(is_good, is_unknown, score_value)
|
| 865 |
|
| 866 |
# 変更を検知 (5段階評価の場合も処理するように変更)
|
| 867 |
+
update_answer_state(input_ans_1, input_ans_2)
|
| 868 |
+
|
| 869 |
# 表示更新
|
| 870 |
# indexを進める
|
| 871 |
select_idx.value += 1
|
|
|
|
| 875 |
# ループさせるか、エラー処理を行う
|
| 876 |
if select_idx.value >= len(df):
|
| 877 |
select_idx.value = 0
|
| 878 |
+
|
| 879 |
+
# シンプルモードクリックで、scoreを0に設定
|
| 880 |
+
if is_simple == True:
|
| 881 |
+
score.value = 0
|
| 882 |
|
| 883 |
# データセットに追加
|
| 884 |
+
# 元のindex番号(dataset_id)を指定して保存
|
| 885 |
save_annotation_data(df)
|
| 886 |
|
| 887 |
# Nextデータ初期化
|
| 888 |
initialize_next_data(df)
|
| 889 |
+
|
| 890 |
+
# 5段階評価をリセット
|
| 891 |
+
reset_values = score_reset_display()
|
| 892 |
|
| 893 |
return gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 894 |
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 895 |
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 896 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 897 |
+
gr.update(value=df.iloc[select_idx.value]["question"]), \
|
| 898 |
+
gr.update(value=df.iloc[select_idx.value]["answer"]), \
|
| 899 |
+
*reset_values
|
| 900 |
+
|
| 901 |
|
| 902 |
+
# 評価状態リセット
|
| 903 |
def update_evaluation_state(is_good, is_unknown, score_value):
|
| 904 |
if score_value is not None: # 5段階評価の場合
|
| 905 |
good.value = False
|
|
|
|
| 911 |
bad.value = not is_good if not is_unknown else False
|
| 912 |
unknown_quality.value = is_unknown # 「分からない」の状態を設定
|
| 913 |
|
| 914 |
+
# 変更を検知して値を設定
|
| 915 |
+
def update_answer_state(input_ans_1, input_ans_2):
|
| 916 |
if input_ans_1 is not None and initial_answer_text_1.value != input_ans_1:
|
| 917 |
is_proofreading_1.value = True
|
| 918 |
answer_text_1.value = input_ans_1
|
| 919 |
else:
|
| 920 |
answer_text_1.value = ""
|
| 921 |
|
| 922 |
+
# 2ターン目用
|
| 923 |
+
if input_ans_2 is not None and initial_answer_text_2.value != input_ans_2:
|
| 924 |
is_proofreading_2.value = True
|
| 925 |
+
answer_text_2.value = input_ans_2
|
| 926 |
else:
|
| 927 |
answer_text_2.value = ""
|
| 928 |
|
| 929 |
+
# データ保存
|
| 930 |
def save_annotation_data(df):
|
| 931 |
save_annotation(
|
| 932 |
select_dropdown_dataset.value,
|
| 933 |
# datasetIdは元のindex番号を使用
|
| 934 |
df.iloc[select_idx.value]['index'],
|
| 935 |
who.value,
|
| 936 |
+
unknown_quality.value,
|
| 937 |
good.value,
|
| 938 |
bad.value,
|
|
|
|
|
|
|
| 939 |
is_proofreading_1.value,
|
| 940 |
answer_text_1.value,
|
| 941 |
is_proofreading_2.value,
|
| 942 |
+
answer_text_2.value,
|
| 943 |
+
score.value,
|
| 944 |
+
helphulness.value,
|
| 945 |
+
correcthness.value,
|
| 946 |
+
coherenece.value,
|
| 947 |
+
complexity.value,
|
| 948 |
+
verbosity.value,
|
| 949 |
+
humor.value,
|
| 950 |
+
creativity.value,
|
| 951 |
+
appropriate.value,
|
| 952 |
+
following_instructions.value,
|
| 953 |
+
politeness.value,
|
| 954 |
+
harmfulness.value,
|
| 955 |
+
hate.value,
|
| 956 |
+
sexual.value,
|
| 957 |
+
violence.value,
|
| 958 |
+
suicide.value,
|
| 959 |
+
threat.value,
|
| 960 |
+
gun.value,
|
| 961 |
+
controlled_substance.value,
|
| 962 |
+
climinal_planing.value,
|
| 963 |
+
privacy.value,
|
| 964 |
+
harassment.value,
|
| 965 |
+
profanity.value,
|
| 966 |
+
political_content.value,
|
| 967 |
+
moral_judgement.value,
|
| 968 |
+
typos.value,
|
| 969 |
)
|
| 970 |
|
| 971 |
+
# 次データ読込時の初期化
|
| 972 |
def initialize_next_data(df):
|
| 973 |
is_proofreading_1.value = False
|
| 974 |
is_proofreading_2.value = False
|
| 975 |
initial_answer_text_1.value = df.iloc[select_idx.value]["answer"]
|
| 976 |
initial_answer_text_2.value = df.iloc[select_idx.value]["answer"]
|
| 977 |
+
|
| 978 |
+
# 評価不可
|
| 979 |
+
def unknown_click(input_ans_1, input_ans_2):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 980 |
good.value = False
|
| 981 |
bad.value = False
|
| 982 |
+
score_reset_display()
|
| 983 |
+
return update_annotation(
|
| 984 |
+
input_ans_1=input_ans_1,
|
| 985 |
+
input_ans_2=input_ans_2,
|
| 986 |
+
is_good=False,
|
| 987 |
+
is_unknown=True,
|
| 988 |
+
is_simple=True,
|
| 989 |
+
)
|
| 990 |
+
|
| 991 |
+
# 評価不可クリックイベント
|
| 992 |
+
gr_unknown_btn.click(
|
| 993 |
unknown_click,
|
| 994 |
inputs=[
|
| 995 |
+
gr_answer_text_1_1,
|
| 996 |
+
gr_answer_text_2_1
|
| 997 |
],
|
| 998 |
+
outputs=[
|
| 999 |
+
gr_question_text_1_1,
|
| 1000 |
+
gr_answer_text_1_1,
|
| 1001 |
+
gr_question_text_2_1,
|
| 1002 |
+
gr_answer_text_2_1,
|
| 1003 |
+
gr_question_text_3_1,
|
| 1004 |
+
gr_answer_text_3_1,
|
| 1005 |
+
gr_score_detail,
|
| 1006 |
+
gr_helphulness,
|
| 1007 |
+
gr_correcthness,
|
| 1008 |
+
gr_coherence,
|
| 1009 |
+
gr_complexity,
|
| 1010 |
+
gr_verbosity,
|
| 1011 |
+
gr_humor,
|
| 1012 |
+
gr_creativity,
|
| 1013 |
+
gr_appropriate,
|
| 1014 |
+
gr_following_instructions,
|
| 1015 |
+
gr_politeness,
|
| 1016 |
+
gr_harmfulness,
|
| 1017 |
+
gr_hate,
|
| 1018 |
+
gr_sexual,
|
| 1019 |
+
gr_violence,
|
| 1020 |
+
gr_suicide,
|
| 1021 |
+
gr_threat,
|
| 1022 |
+
gr_gun,
|
| 1023 |
+
gr_controlled_substance,
|
| 1024 |
+
gr_climinal_planing,
|
| 1025 |
+
gr_privacy,
|
| 1026 |
+
gr_harassment,
|
| 1027 |
+
gr_profanity,
|
| 1028 |
+
gr_political_content,
|
| 1029 |
+
gr_moral_judgement,
|
| 1030 |
+
gr_typos
|
| 1031 |
+
]
|
| 1032 |
)
|
| 1033 |
|
| 1034 |
+
# 良いクリック
|
| 1035 |
+
def good_click(input_ans_1, input_ans_2):
|
| 1036 |
+
score_reset_display()
|
| 1037 |
+
return update_annotation(
|
| 1038 |
+
input_ans_1=input_ans_1,
|
| 1039 |
+
input_ans_2=input_ans_2,
|
| 1040 |
+
is_good=True,
|
| 1041 |
+
is_unknown=False,
|
| 1042 |
+
is_simple=True,
|
| 1043 |
+
)
|
| 1044 |
+
|
| 1045 |
+
# 良いクリック
|
| 1046 |
+
gr_good_btn.click(
|
| 1047 |
+
good_click,
|
| 1048 |
+
inputs=[
|
| 1049 |
+
gr_answer_text_1_1,
|
| 1050 |
+
gr_answer_text_2_1
|
| 1051 |
+
],
|
| 1052 |
+
outputs=[
|
| 1053 |
+
gr_question_text_1_1,
|
| 1054 |
+
gr_answer_text_1_1,
|
| 1055 |
+
gr_question_text_2_1,
|
| 1056 |
+
gr_answer_text_2_1,
|
| 1057 |
+
gr_question_text_3_1,
|
| 1058 |
+
gr_answer_text_3_1,
|
| 1059 |
+
gr_score_detail,
|
| 1060 |
+
gr_helphulness,
|
| 1061 |
+
gr_correcthness,
|
| 1062 |
+
gr_coherence,
|
| 1063 |
+
gr_complexity,
|
| 1064 |
+
gr_verbosity,
|
| 1065 |
+
gr_humor,
|
| 1066 |
+
gr_creativity,
|
| 1067 |
+
gr_appropriate,
|
| 1068 |
+
gr_following_instructions,
|
| 1069 |
+
gr_politeness,
|
| 1070 |
+
gr_harmfulness,
|
| 1071 |
+
gr_hate,
|
| 1072 |
+
gr_sexual,
|
| 1073 |
+
gr_violence,
|
| 1074 |
+
gr_suicide,
|
| 1075 |
+
gr_threat,
|
| 1076 |
+
gr_gun,
|
| 1077 |
+
gr_controlled_substance,
|
| 1078 |
+
gr_climinal_planing,
|
| 1079 |
+
gr_privacy,
|
| 1080 |
+
gr_harassment,
|
| 1081 |
+
gr_profanity,
|
| 1082 |
+
gr_political_content,
|
| 1083 |
+
gr_moral_judgement,
|
| 1084 |
+
gr_typos
|
| 1085 |
+
]
|
| 1086 |
+
)
|
| 1087 |
+
|
| 1088 |
+
# 低評価クリック
|
| 1089 |
+
def bad_click(input_ans_1, input_ans_2):
|
| 1090 |
+
score_reset_display()
|
| 1091 |
+
return update_annotation(
|
| 1092 |
+
input_ans_1=input_ans_1,
|
| 1093 |
+
input_ans_2=input_ans_2,
|
| 1094 |
+
is_good=False,
|
| 1095 |
+
is_unknown=False,
|
| 1096 |
+
is_simple=True,
|
| 1097 |
+
)
|
| 1098 |
+
|
| 1099 |
+
# 低評価クリックイベント
|
| 1100 |
+
gr_bad_btn.click(
|
| 1101 |
bad_click,
|
| 1102 |
inputs=[
|
| 1103 |
+
gr_answer_text_1_1,
|
| 1104 |
+
gr_answer_text_2_1
|
| 1105 |
],
|
| 1106 |
+
outputs=[
|
| 1107 |
+
gr_question_text_1_1,
|
| 1108 |
+
gr_answer_text_1_1,
|
| 1109 |
+
gr_question_text_2_1,
|
| 1110 |
+
gr_answer_text_2_1,
|
| 1111 |
+
gr_question_text_3_1,
|
| 1112 |
+
gr_answer_text_3_1,
|
| 1113 |
+
gr_score_detail,
|
| 1114 |
+
gr_helphulness,
|
| 1115 |
+
gr_correcthness,
|
| 1116 |
+
gr_coherence,
|
| 1117 |
+
gr_complexity,
|
| 1118 |
+
gr_verbosity,
|
| 1119 |
+
gr_humor,
|
| 1120 |
+
gr_creativity,
|
| 1121 |
+
gr_appropriate,
|
| 1122 |
+
gr_following_instructions,
|
| 1123 |
+
gr_politeness,
|
| 1124 |
+
gr_harmfulness,
|
| 1125 |
+
gr_hate,
|
| 1126 |
+
gr_sexual,
|
| 1127 |
+
gr_violence,
|
| 1128 |
+
gr_suicide,
|
| 1129 |
+
gr_threat,
|
| 1130 |
+
gr_gun,
|
| 1131 |
+
gr_controlled_substance,
|
| 1132 |
+
gr_climinal_planing,
|
| 1133 |
+
gr_privacy,
|
| 1134 |
+
gr_harassment,
|
| 1135 |
+
gr_profanity,
|
| 1136 |
+
gr_political_content,
|
| 1137 |
+
gr_moral_judgement,
|
| 1138 |
+
gr_typos
|
| 1139 |
+
]
|
| 1140 |
)
|
| 1141 |
|
| 1142 |
# 5段階評価ボタンのクリックイベント
|
| 1143 |
+
gr_score_1_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=1),
|
| 1144 |
+
inputs=[gr_answer_text_2_1],
|
| 1145 |
+
outputs=[
|
| 1146 |
+
gr_question_text_1_1,
|
| 1147 |
+
gr_answer_text_1_1,
|
| 1148 |
+
gr_question_text_2_1,
|
| 1149 |
+
gr_answer_text_2_1,
|
| 1150 |
+
gr_question_text_3_1,
|
| 1151 |
+
gr_answer_text_3_1,
|
| 1152 |
+
gr_score_detail,
|
| 1153 |
+
gr_helphulness,
|
| 1154 |
+
gr_correcthness,
|
| 1155 |
+
gr_coherence,
|
| 1156 |
+
gr_complexity,
|
| 1157 |
+
gr_verbosity,
|
| 1158 |
+
gr_humor,
|
| 1159 |
+
gr_creativity,
|
| 1160 |
+
gr_appropriate,
|
| 1161 |
+
gr_following_instructions,
|
| 1162 |
+
gr_politeness,
|
| 1163 |
+
gr_harmfulness,
|
| 1164 |
+
gr_hate,
|
| 1165 |
+
gr_sexual,
|
| 1166 |
+
gr_violence,
|
| 1167 |
+
gr_suicide,
|
| 1168 |
+
gr_threat,
|
| 1169 |
+
gr_gun,
|
| 1170 |
+
gr_controlled_substance,
|
| 1171 |
+
gr_climinal_planing,
|
| 1172 |
+
gr_privacy,
|
| 1173 |
+
gr_harassment,
|
| 1174 |
+
gr_profanity,
|
| 1175 |
+
gr_political_content,
|
| 1176 |
+
gr_moral_judgement,
|
| 1177 |
+
gr_typos
|
| 1178 |
+
])
|
| 1179 |
+
gr_score_2_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=2),
|
| 1180 |
+
inputs=[gr_answer_text_2_1],
|
| 1181 |
+
outputs=[
|
| 1182 |
+
gr_question_text_1_1,
|
| 1183 |
+
gr_answer_text_1_1,
|
| 1184 |
+
gr_question_text_2_1,
|
| 1185 |
+
gr_answer_text_2_1,
|
| 1186 |
+
gr_question_text_3_1,
|
| 1187 |
+
gr_answer_text_3_1,
|
| 1188 |
+
gr_score_detail,
|
| 1189 |
+
gr_helphulness,
|
| 1190 |
+
gr_correcthness,
|
| 1191 |
+
gr_coherence,
|
| 1192 |
+
gr_complexity,
|
| 1193 |
+
gr_verbosity,
|
| 1194 |
+
gr_humor,
|
| 1195 |
+
gr_creativity,
|
| 1196 |
+
gr_appropriate,
|
| 1197 |
+
gr_following_instructions,
|
| 1198 |
+
gr_politeness,
|
| 1199 |
+
gr_harmfulness,
|
| 1200 |
+
gr_hate,
|
| 1201 |
+
gr_sexual,
|
| 1202 |
+
gr_violence,
|
| 1203 |
+
gr_suicide,
|
| 1204 |
+
gr_threat,
|
| 1205 |
+
gr_gun,
|
| 1206 |
+
gr_controlled_substance,
|
| 1207 |
+
gr_climinal_planing,
|
| 1208 |
+
gr_privacy,
|
| 1209 |
+
gr_harassment,
|
| 1210 |
+
gr_profanity,
|
| 1211 |
+
gr_political_content,
|
| 1212 |
+
gr_moral_judgement,
|
| 1213 |
+
gr_typos
|
| 1214 |
+
])
|
| 1215 |
+
gr_score_3_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=3),
|
| 1216 |
+
inputs=[gr_answer_text_2_1],
|
| 1217 |
+
outputs=[
|
| 1218 |
+
gr_question_text_1_1,
|
| 1219 |
+
gr_answer_text_1_1,
|
| 1220 |
+
gr_question_text_2_1,
|
| 1221 |
+
gr_answer_text_2_1,
|
| 1222 |
+
gr_question_text_3_1,
|
| 1223 |
+
gr_answer_text_3_1,
|
| 1224 |
+
gr_score_detail,
|
| 1225 |
+
gr_helphulness,
|
| 1226 |
+
gr_correcthness,
|
| 1227 |
+
gr_coherence,
|
| 1228 |
+
gr_complexity,
|
| 1229 |
+
gr_verbosity,
|
| 1230 |
+
gr_humor,
|
| 1231 |
+
gr_creativity,
|
| 1232 |
+
gr_appropriate,
|
| 1233 |
+
gr_following_instructions,
|
| 1234 |
+
gr_politeness,
|
| 1235 |
+
gr_harmfulness,
|
| 1236 |
+
gr_hate,
|
| 1237 |
+
gr_sexual,
|
| 1238 |
+
gr_violence,
|
| 1239 |
+
gr_suicide,
|
| 1240 |
+
gr_threat,
|
| 1241 |
+
gr_gun,
|
| 1242 |
+
gr_controlled_substance,
|
| 1243 |
+
gr_climinal_planing,
|
| 1244 |
+
gr_privacy,
|
| 1245 |
+
gr_harassment,
|
| 1246 |
+
gr_profanity,
|
| 1247 |
+
gr_political_content,
|
| 1248 |
+
gr_moral_judgement,
|
| 1249 |
+
gr_typos
|
| 1250 |
+
])
|
| 1251 |
+
gr_score_4_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=4),
|
| 1252 |
+
inputs=[gr_answer_text_2_1],
|
| 1253 |
+
outputs=[
|
| 1254 |
+
gr_question_text_1_1,
|
| 1255 |
+
gr_answer_text_1_1,
|
| 1256 |
+
gr_question_text_2_1,
|
| 1257 |
+
gr_answer_text_2_1,
|
| 1258 |
+
gr_question_text_3_1,
|
| 1259 |
+
gr_answer_text_3_1,
|
| 1260 |
+
gr_score_detail,
|
| 1261 |
+
gr_helphulness,
|
| 1262 |
+
gr_correcthness,
|
| 1263 |
+
gr_coherence,
|
| 1264 |
+
gr_complexity,
|
| 1265 |
+
gr_verbosity,
|
| 1266 |
+
gr_humor,
|
| 1267 |
+
gr_creativity,
|
| 1268 |
+
gr_appropriate,
|
| 1269 |
+
gr_following_instructions,
|
| 1270 |
+
gr_politeness,
|
| 1271 |
+
gr_harmfulness,
|
| 1272 |
+
gr_hate,
|
| 1273 |
+
gr_sexual,
|
| 1274 |
+
gr_violence,
|
| 1275 |
+
gr_suicide,
|
| 1276 |
+
gr_threat,
|
| 1277 |
+
gr_gun,
|
| 1278 |
+
gr_controlled_substance,
|
| 1279 |
+
gr_climinal_planing,
|
| 1280 |
+
gr_privacy,
|
| 1281 |
+
gr_harassment,
|
| 1282 |
+
gr_profanity,
|
| 1283 |
+
gr_political_content,
|
| 1284 |
+
gr_moral_judgement,
|
| 1285 |
+
gr_typos
|
| 1286 |
+
])
|
| 1287 |
+
gr_score_5_btn.click(lambda x: update_annotation(input_ans_1=x, is_unknown=False, score_value=5),
|
| 1288 |
+
inputs=[gr_answer_text_2_1],
|
| 1289 |
+
outputs=[
|
| 1290 |
+
gr_question_text_1_1,
|
| 1291 |
+
gr_answer_text_1_1,
|
| 1292 |
+
gr_question_text_2_1,
|
| 1293 |
+
gr_answer_text_2_1,
|
| 1294 |
+
gr_question_text_3_1,
|
| 1295 |
+
gr_answer_text_3_1,
|
| 1296 |
+
gr_score_detail,
|
| 1297 |
+
gr_helphulness,
|
| 1298 |
+
gr_correcthness,
|
| 1299 |
+
gr_coherence,
|
| 1300 |
+
gr_complexity,
|
| 1301 |
+
gr_verbosity,
|
| 1302 |
+
gr_humor,
|
| 1303 |
+
gr_creativity,
|
| 1304 |
+
gr_appropriate,
|
| 1305 |
+
gr_following_instructions,
|
| 1306 |
+
gr_politeness,
|
| 1307 |
+
gr_harmfulness,
|
| 1308 |
+
gr_hate,
|
| 1309 |
+
gr_sexual,
|
| 1310 |
+
gr_violence,
|
| 1311 |
+
gr_suicide,
|
| 1312 |
+
gr_threat,
|
| 1313 |
+
gr_gun,
|
| 1314 |
+
gr_controlled_substance,
|
| 1315 |
+
gr_climinal_planing,
|
| 1316 |
+
gr_privacy,
|
| 1317 |
+
gr_harassment,
|
| 1318 |
+
gr_profanity,
|
| 1319 |
+
gr_political_content,
|
| 1320 |
+
gr_moral_judgement,
|
| 1321 |
+
gr_typos
|
| 1322 |
+
])
|
| 1323 |
+
|
| 1324 |
+
# Scoreリセット
|
| 1325 |
+
def score_reset_display():
|
| 1326 |
+
# gr.State
|
| 1327 |
+
score.value = 3
|
| 1328 |
+
helphulness.value = 0
|
| 1329 |
+
correcthness.value = 0
|
| 1330 |
+
coherenece.value = 0
|
| 1331 |
+
complexity.value = 0
|
| 1332 |
+
verbosity.value = 0
|
| 1333 |
+
humor.value = 0
|
| 1334 |
+
creativity.value = 0
|
| 1335 |
+
appropriate.value = 0
|
| 1336 |
+
following_instructions.value = 0
|
| 1337 |
+
politeness.value = 0
|
| 1338 |
+
harmfulness.value = 0
|
| 1339 |
+
hate.value = 0
|
| 1340 |
+
sexual.value = 0
|
| 1341 |
+
violence.value = 0
|
| 1342 |
+
suicide.value = 0
|
| 1343 |
+
threat.value = 0
|
| 1344 |
+
gun.value = 0
|
| 1345 |
+
controlled_substance.vlaue = 0
|
| 1346 |
+
climinal_planing.value = 0
|
| 1347 |
+
privacy.value = 0
|
| 1348 |
+
harassment.value = 0
|
| 1349 |
+
profanity.value = 0
|
| 1350 |
+
political_content.value = 0
|
| 1351 |
+
moral_judgement.value = 0
|
| 1352 |
+
typos.value = 0
|
| 1353 |
+
|
| 1354 |
+
return 3,0,0,0,0,0,0,0,0,0,0,0, \
|
| 1355 |
+
"不明", "不明", "不明", "不明", "不明", \
|
| 1356 |
+
"不明", "不明", "不明", "不明", "不明", \
|
| 1357 |
+
"不明", "不明", "不明", "不明"
|
| 1358 |
+
|
| 1359 |
+
# Scoreリセット
|
| 1360 |
+
gr_score_reset.click(
|
| 1361 |
+
score_reset_display,
|
| 1362 |
+
inputs=[],
|
| 1363 |
+
outputs=[
|
| 1364 |
+
gr_score_detail,
|
| 1365 |
+
gr_helphulness,
|
| 1366 |
+
gr_correcthness,
|
| 1367 |
+
gr_coherence,
|
| 1368 |
+
gr_complexity,
|
| 1369 |
+
gr_verbosity,
|
| 1370 |
+
gr_humor,
|
| 1371 |
+
gr_creativity,
|
| 1372 |
+
gr_appropriate,
|
| 1373 |
+
gr_following_instructions,
|
| 1374 |
+
gr_politeness,
|
| 1375 |
+
gr_harmfulness,
|
| 1376 |
+
gr_hate,
|
| 1377 |
+
gr_sexual,
|
| 1378 |
+
gr_violence,
|
| 1379 |
+
gr_suicide,
|
| 1380 |
+
gr_threat,
|
| 1381 |
+
gr_gun,
|
| 1382 |
+
gr_controlled_substance,
|
| 1383 |
+
gr_climinal_planing,
|
| 1384 |
+
gr_privacy,
|
| 1385 |
+
gr_harassment,
|
| 1386 |
+
gr_profanity,
|
| 1387 |
+
gr_political_content,
|
| 1388 |
+
gr_moral_judgement,
|
| 1389 |
+
gr_typos
|
| 1390 |
+
]
|
| 1391 |
+
)
|
| 1392 |
+
|
| 1393 |
+
# データ読込
|
| 1394 |
+
gr_data_load_btn.click(
|
| 1395 |
+
dataset_load_fn,
|
| 1396 |
+
inputs=None,
|
| 1397 |
+
# textをセットし、intractiveをTrueにする (UI更新)
|
| 1398 |
+
outputs=[
|
| 1399 |
+
gr_question_text_1_1,
|
| 1400 |
+
gr_answer_text_1_1,
|
| 1401 |
+
gr_question_text_2_1,
|
| 1402 |
+
gr_answer_text_2_1,
|
| 1403 |
+
gr_question_text_3_1,
|
| 1404 |
+
gr_answer_text_3_1,
|
| 1405 |
+
gr_answer_text_1_1,
|
| 1406 |
+
gr_answer_text_2_1,
|
| 1407 |
+
gr_answer_text_3_1,
|
| 1408 |
+
gr_unknown_btn,
|
| 1409 |
+
gr_good_btn,
|
| 1410 |
+
gr_bad_btn,
|
| 1411 |
+
gr_score_5_btn,
|
| 1412 |
+
gr_score_4_btn,
|
| 1413 |
+
gr_score_3_btn,
|
| 1414 |
+
gr_score_2_btn,
|
| 1415 |
+
gr_score_1_btn,
|
| 1416 |
+
gr_submit_score,
|
| 1417 |
+
gr_score_detail,
|
| 1418 |
+
gr_score_reset,
|
| 1419 |
+
gr_helphulness,
|
| 1420 |
+
gr_correcthness,
|
| 1421 |
+
gr_coherence,
|
| 1422 |
+
gr_complexity,
|
| 1423 |
+
gr_verbosity,
|
| 1424 |
+
gr_humor,
|
| 1425 |
+
gr_creativity,
|
| 1426 |
+
gr_appropriate,
|
| 1427 |
+
gr_following_instructions,
|
| 1428 |
+
gr_politeness,
|
| 1429 |
+
gr_harmfulness,
|
| 1430 |
+
gr_hate,
|
| 1431 |
+
gr_sexual,
|
| 1432 |
+
gr_violence,
|
| 1433 |
+
gr_suicide,
|
| 1434 |
+
gr_threat,
|
| 1435 |
+
gr_gun,
|
| 1436 |
+
gr_controlled_substance,
|
| 1437 |
+
gr_climinal_planing,
|
| 1438 |
+
gr_privacy,
|
| 1439 |
+
gr_harassment,
|
| 1440 |
+
gr_profanity,
|
| 1441 |
+
gr_political_content,
|
| 1442 |
+
gr_moral_judgement,
|
| 1443 |
+
gr_typos
|
| 1444 |
+
]
|
| 1445 |
+
)
|
| 1446 |
+
|
| 1447 |
# TODO Tab切り替えで、アノテ済みの一覧を表示する
|
| 1448 |
# with gr.Tab("アノテ済みデータセット(管理画面)"):
|
| 1449 |
# タブを切り替えた時にデータ表示を更新する
|