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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/GreenGoat/LoveConflict@9cbab3565939dd2fedfaaa8e976797b83258ad77/extracted_character_profiles.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3339, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2300, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 172, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/GreenGoat/LoveConflict@9cbab3565939dd2fedfaaa8e976797b83258ad77/extracted_character_profiles.json.

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💔 CoupleConflict-RedNote (中文情侣冲突心理标签数据集)

📘 Dataset Description

CoupleConflict-RedNote 是一个基于真实社交媒体平台小红书(RedNote)整理的中文情侣冲突数据集,包含 185 条争吵场景,完整保留每个冲突的背景叙述、对话示例、人物心理状态与冲突标签。

本数据集特别关注恋爱与同居阶段的亲密关系冲突,并在每条记录中标注五大心理维度,支持心理学建模、情绪理解与LLM模拟训练等任务。


🔍 数据特点

  • 📌 共计 185 条真实争吵记录(全部为中文)
  • 📂 每条记录包含:
    • description:冲突背景叙述
    • examples:争吵对话原句示例
    • situations:争吵双方的主观情境
    • party_a / party_b:五维心理标签(详见下文)
  • 🧠 心理标签维度(每方独立):
    • emotion_type:情绪类型(如 愤怒、悲伤、焦虑)
    • attribution_style:归因方式(如 他责型、情境归因型)
    • conflict_topic:争吵主题(如 家务分工、时间与陪伴)
    • relationship_stage:关系阶段(如 同居或婚姻早期)
    • interaction_pattern:互动模式(如 激烈型、敌意型)

💡 应用场景

  • 🧠 心理学研究(冲突归因模型、亲密关系研究)
  • 🤖 中文 LLM 训练(情绪理解、角色扮演、对话模拟)
  • 🧪 多轮对话系统/Agent系统评价基准(如 LQBench)
  • 📊 中文情绪数据集补充与任务设定(emotion classification / stance detection)

📁 数据格式样例

{
  "id": 18,
  "description": "情侣因一方近期总是加班,忽视了对方的陪伴需求……",
  "examples": ["女方质问:‘工作重要还是我重要?’", "男方辩解:‘我这么拼不也是为了我们好吗?’"],
  "situations": {
    "party_a": "女方因加班疏于陪伴感到孤独和愤怒……",
    "party_b": "男方因工作压力大……"
  },
  "party_a": {
    "emotion_type": "愤怒",
    "attribution_style": "他责型",
    "conflict_topic": "时间与陪伴",
    "relationship_stage": "同居或婚姻早期",
    "interaction_pattern": "激烈型"
  },
  "party_b": {
    "emotion_type": "愤怒",
    "attribution_style": "情境归因型",
    "conflict_topic": "时间与陪伴",
    "relationship_stage": "同居或婚姻早期",
    "interaction_pattern": "激烈型"
  }
}
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