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chaosbringerc
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sentiment-focused-journaling-dataset

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    AttributeError
Message:      'str' object has no attribute 'items'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1664, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1621, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1068, in get_module
                  {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1069, in <dictcomp>
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                File "<string>", line 20, in __init__
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 170, in __post_init__
                  self.features = Features.from_dict(self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1888, in from_dict
                  obj = generate_from_dict(dic)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in <dictcomp>
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in <dictcomp>
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
              AttributeError: 'str' object has no attribute 'items'

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Sentiment-Focused Journaling Dataset 📝💬

This dataset contains journal-style entries labeled with emotional sentiments to support mental health-focused NLP applications.

✨ Dataset Overview

  • Language: English
  • Format: CSV
  • Samples: Journal entries in natural, introspective tones
  • Labels: Emotions like sadness, joy, anxiety, peace, anger, gratitude, and more
  • Purpose: Fine-tuning models for emotional analysis, journaling tools, wellness tracking

📁 Files

  • train.csv: Main training data
  • validation.csv: (optional)
  • dataset_infos.json: Metadata generated automatically
  • LICENSE: CC BY 4.0 license

🔍 Label Examples

  • joy
  • sadness
  • anxiety
  • gratitude
  • peace
  • anger
  • burnout
  • acceptance
  • confidence

💡 Suggested Use Cases

  • Sentiment/emotion detection API
  • Personal journaling apps
  • Mental health support tools
  • Emotion-aware LLM applications

📜 License

This dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Feel free to remix and build upon it, just credit the original author.

Curated and maintained by chaosbringerc. Contributions welcome! ✨
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Models trained or fine-tuned on chaosbringerc/sentiment-focused-journaling-dataset