Upload README.md with huggingface_hub

README.md

@@ -1,21 +1,215 @@
 ---
-dataset_info:
-  features:
-  - name: messages
-    list:
-    - name: role
-      dtype: string
-    - name: content
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 35324918
-    num_examples: 7779
-  download_size: 9116587
-  dataset_size: 35324918
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- en
+license: apache-2.0
+task_categories:
+- text-generation
+tags:
+- alfworld
+- dbbench
+- agentbench
+- agent
+- multi-turn
+- sft
+- deep-thinking
+size_categories:
+- 1K<n<10K
 ---
+
+# Deepthinking ALFWorld & DBBench Spider v2
+
+AgentBench 評価の 2 タスク（ALFWorld / DBBench）を統合した **マルチタスク SFT 訓練データセット**。
+フォーマット検査・フィルタリング済みの **7,779 件**を、サイズ比率に基づく等間隔インターリーブで結合。
+
+---
+
+## Dataset Summary
+
+| Metric | Value |
+|--------|-------|
+| **Total rows** | **7,779** |
+| ALFWorld | 4,884 (62.8%) |
+| DBBench | 2,895 (37.2%) |
+| Avg messages per item | 18.3 |
+| Columns | `messages` |
+| Interleave method | 比率ベース等間隔マージ |
+
+---
+
+## Source Datasets
+
+| Source | Rows | Description |
+|--------|------|-------------|
+| [mark-22/Deepthinking-sft_alfworld_final1](https://huggingface.co/datasets/mark-22/Deepthinking-sft_alfworld_final1) | 4,884 | ALFWorld タスク。GPT-OSS-120B で最初の THOUGHT に状況分析・常識推論・ステップ分解を挿入したデータ拡張版 |
+| [mark-22/dbbench_spider_v4_mergeddata_final1](https://huggingface.co/datasets/mark-22/dbbench_spider_v4_mergeddata_final1) | 2,897 → 2,895 | DBBench タスク。Spider 生成データ (1,697) + u-10bei クレンジング済みデータ (1,200) の統合。フォーマット検査で 2 件除外 |
+
+---
+
+## Merge Pipeline
+
+```
+mark-22/Deepthinking-sft_alfworld_final1 (4,884)
+  ↓ フォーマット検査: THOUGHT + ACTION パターン必須
+  ↓ 除外: 0 件
+  ↓ シャッフル (seed=42)
+  ↓
+  ├─────────────────────────────────────────────┐
+  │  等間隔インターリーブ (サイズ比率ベース)      │
+  ├─────────────────────────────────────────────┘
+  ↓
+mark-22/dbbench_spider_v4_mergeddata_final1 (2,897)
+  ↓ フォーマット検査: Action: Operation/Answer 必須
+  ↓ 除外: 2 件（フォーマット違反）
+  ↓ シャッフル (seed=42)
+  ↓
+  → 7,779 件（ALF:DB ≈ 63:37）
+```
+
+### Formatting Filters
+
+#### ALFWorld
+- 全 assistant メッセージに `THOUGHT:` と `ACTION:` の両方が含まれること
+- `THOUGHT:` が `ACTION:` より前に出現すること
+
+#### DBBench
+- `"Ok."` 等の承認応答はスキップ
+- それ以外の assistant メッセージに `Action: Operation` または `Action: Answer` が含まれること
+- 少なくとも 1 回は Action が実行されていること
+
+### Interleave Strategy
+
+単純な連結ではなく、**比率ベースの等間隔マージ**を採用:
+
+- 各データセットを独立シャッフル後、正規化位置 `(i + 0.5) / N` を付与
+- 全アイテムを正規化位置でソートし、ALFWorld と DBBench が均等に混ざるよう配置
+- 訓練時にタスクが偏らず、安定した学習を実現
+
+```
+結果のインターリーブパターン（先頭10件）:
+  [0] ALF  [1] DB  [2] ALF  [3] ALF  [4] DB
+  [5] ALF  [6] DB  [7] ALF  [8] ALF  [9] DB
+```
+
+---
+
+## Conversation Structures
+
+### ALFWorld items
+
+```
+[system]    Interact with a household to solve a task...
+[user]      You arrive in a room. You can see...
+[assistant] THOUGHT: {AI-generated analysis} + {original thought}
+            ACTION: {action command}
+[user]      Environment response
+...
+```
+
+### DBBench items
+
+```
+[user]      I will ask you a question, then you should help me operate a MySQL database...
+[assistant] Ok.
+[user]      Question text
+[assistant] Thought + Action: Operation ```sql ... ```
+[user]      MySQL raw output
+...
+[assistant] ... Action: Answer  Final Answer: ["..."]
+```
+
+---
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("mark-22/Deepthinking-alfworld_and_dbbench_spider_v2", split="train")
+
+for item in ds:
+    messages = item["messages"]
+    # Detect task type by first message role:
+    #   system -> ALFWorld
+    #   user   -> DBBench
+    task_type = "alfworld" if messages[0]["role"] == "system" else "dbbench"
+```
+
+---
+
+## Merge Code
+
+<details>
+<summary>結合スクリプト全文（クリックで展開）</summary>
+
+```python
+import os, re
+from datasets import load_dataset, Dataset, Features, Value
+from huggingface_hub import login
+
+ds_alf = load_dataset("mark-22/Deepthinking-sft_alfworld_final1", split="train")
+ds_db  = load_dataset("mark-22/dbbench_spider_v4_mergeddata_final1", split="train")
+
+# Unify columns to "messages" only
+ds_alf = ds_alf.select_columns(["messages"])
+ds_db  = ds_db.select_columns(["messages"])
+
+unified_features = Features({
+    "messages": [{"role": Value("string"), "content": Value("string")}]
+})
+
+def fix_message_order(example):
+    return {"messages": [
+        {"role": msg["role"], "content": msg["content"]}
+        for msg in example["messages"]
+    ]}
+
+ds_alf = ds_alf.map(fix_message_order, features=unified_features)
+ds_db  = ds_db.map(fix_message_order, features=unified_features)
+
+# Format validation
+def is_valid_alfworld(example):
+    for msg in example["messages"]:
+        if msg["role"] == "assistant":
+            content = msg["content"]
+            t = re.search(r"THOUGHT\s*:", content, re.IGNORECASE)
+            a = re.search(r"ACTION\s*:", content, re.IGNORECASE)
+            if not t or not a or t.start() > a.start():
+                return False
+    return True
+
+def is_valid_dbbench(example):
+    has_action = False
+    for msg in example["messages"]:
+        if msg["role"] == "assistant":
+            content = msg["content"].strip()
+            if content.lower() in ["ok", "ok.", "understood", "understood.", "yes", "yes."]:
+                continue
+            if not re.search(r"Action:\s*(Operation|Answer)", content, re.IGNORECASE):
+                return False
+            has_action = True
+    return has_action
+
+ds_alf = ds_alf.filter(is_valid_alfworld)
+ds_db  = ds_db.filter(is_valid_dbbench)
+
+# Independent shuffle + ratio-based interleave
+ds_alf = ds_alf.shuffle(seed=42)
+ds_db  = ds_db.shuffle(seed=42)
+
+alf_items = [((i + 0.5) / len(ds_alf), item) for i, item in enumerate(ds_alf)]
+db_items  = [((i + 0.5) / len(ds_db),  item) for i, item in enumerate(ds_db)]
+combined  = sorted(alf_items + db_items, key=lambda x: x[0])
+merged_ds = Dataset.from_list(
+    [item for _, item in combined], features=unified_features
+)
+
+merged_ds.push_to_hub("mark-22/Deepthinking-alfworld_and_dbbench_spider_v2")
+```
+
+</details>
+
+---
+
+## License
+
+Apache 2.0