Datasets:
The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: ValueError
Message: Feature type 'Type' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Video', 'Pdf', 'Nifti', 'Json']
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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 612, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 396, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 317, in _from_yaml_dict
yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2138, in _from_yaml_list
return cls.from_dict(from_yaml_inner(yaml_data))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1983, in from_dict
obj = generate_from_dict(dic)
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1564, in generate_from_dict
return {key: generate_from_dict(value) for key, value in obj.items()}
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1570, in generate_from_dict
raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
ValueError: Feature type 'Type' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Video', 'Pdf', 'Nifti', 'Json']Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
- Quick Summary
- Dataset Files
- 1. memoir_ghostwriting_coaching_questions.jsonl (9 examples)
- 2. memoir_ghostwriting_comprehensive.jsonl (9 examples)
- 3. memoir_ghostwriting_dataset.jsonl (27 examples)
- 4. memoir_ghostwriting_dataset_part2.jsonl (26 examples)
- 5. memoir_ghostwriting_thesis_framework.jsonl (6 examples)
- 6. memoir_personal_narrative_coaching.jsonl (6 examples)
- 7. memoir_bestsellers_analysis.jsonl (6 examples)
- 8. composing_your_life_self_exploration.jsonl (5 examples)
- 1. memoir_ghostwriting_coaching_questions.jsonl (9 examples)
- Dataset Characteristics
- Source Materials
- Writing Techniques Covered
- Coaching Approaches Covered
- How to Use These Datasets
- Integration with Fine-tuning
- Quality Assurance
- Future Expansion Ideas
- Contact & Attribution
- License
Memoir & Personal Narrative Finetuning Datasets
Complete collection of JSONL datasets for training LLMs on memoir/personal narrative coaching and writing instruction
Quick Summary
Total JSONL entries: 184 across 17 active filess
All files are ready for use with:
- OpenAI fine-tuning API
- Llama / HuggingFace fine-tuning
- Any JSONL-compatible training pipeline
Dataset Files
1. memoir_ghostwriting_coaching_questions.jsonl (9 examples)
Focus: Discovery coaching through questions
Teaching method: Socratic questioning to help users uncover their narratives
Topics:
- Discovering narrative themes
- Capturing complexity and contradiction
- Identifying turning points
- Memory accuracy and honesty
- Ethical boundaries with real people
- Showing vs. telling
- Memoir structure and organization
- Identifying core stories
- Writing about pain and difficult emotions
Best for: Training models to ask generative, probing questions that help users discover their own stories.
2. memoir_ghostwriting_comprehensive.jsonl (9 examples)
Focus: Hybrid approach - writing techniques + coaching questions
Teaching method: Explains a technique, then asks coaching questions for application
Topics:
- Narrative craft techniques and pacing
- Authentic voice development
- Showing vs. telling technique
- Place and setting in memoir
- Showing character change across narrative
- Writing about trauma with proportion
- Embodied memoir writing (body and sensation)
- Dialogue reconstruction in memoir
- Memoir organization strategies
Best for: Training models to teach techniques while also helping users apply them through questions.
3. memoir_ghostwriting_dataset.jsonl (27 examples)
Focus: Core memoir craft instruction
Teaching method: Expert explanation with examples and principles
Topics:
- Dialogue writing from memory conventions
- Ethical considerations with real people
- Material organization and interview techniques
- Multiple timelines in narrative
- Memoir conclusions and endings
- Starting when stuck
- Ghostwriter vs. client roles
- Analytical reading of client drafts
- Audience identification
- Research in memoir
- Voice consistency throughout
- Memoir vs. fiction boundaries
- Pacing and proportion
- Scene descriptions with sensory detail
- Sentence fragments (intentional vs. accidental)
- Run-on sentences in emotional passages
- Dangling modifiers
- Prepositions for time/place
- Metaphor and figurative language
- Book proposals for traditional publishing
Best for: Foundational memoir craft instruction and editorial guidance.
4. memoir_ghostwriting_dataset_part2.jsonl (26 examples)
Focus: Advanced memoir techniques
Teaching method: Detailed explanation of specific challenges and solutions
Topics:
- Personal narrative structure basics
- Finding authentic voice
- Handling fragmented/fuzzy memory
- Prewriting and brainstorming techniques
- Autoethnographic essay structure
- Dialogue techniques for memoir
- Avoiding sentimentality
- Place as character in narrative
- Creative nonfiction techniques
- Embodied/physical memoir
- Transitions between scenes/time
- Point of view in memoir
- Ethical navigation of real people in narrative
- Debunking common writing myths
- Revision strategies (big picture to mechanics)
- Readiness indicators for drafting
Best for: Advanced technique instruction and addressing specific writing challenges.
5. memoir_ghostwriting_thesis_framework.jsonl (6 examples)
Focus: Analytical framework for narrative theses
Teaching method: Step-by-step guidance through 4-step thesis development process
Source: Adapted from MIT's Popular Narrative: Masterminds course
The Framework:
- Verbalization: Finding the thematic word (move from plot to theme)
- Definition: Defining the theme specifically for YOUR story
- Implication: Understanding how the theme enters and develops the narrative
- Location: Identifying key moments where theme emerges most clearly
- Application: Using thesis to guide writing decisions
- Evolution: Understanding thesis changes through the writing process
Best for: Training models to help users develop clear thematic understanding and structure their narratives around meaning.
6. memoir_personal_narrative_coaching.jsonl (6 examples)
Focus: Personal narrative specific coaching + techniques
Teaching method: Questions + guidance specific to personal narrative form
Source: From Writing a Personal Narrative textbooks
Topics:
- Identifying narrative effect (the point of your story)
- Narrative development through meaningful detail
- Descriptive language balance
- Personal narrative organization
- Narrative distance and perspective choices
- Narrative purpose without didacticism
Best for: Training models to help beginners understand what makes a personal narrative work.
7. memoir_bestsellers_analysis.jsonl (6 examples)
Focus: Literature analysis of published memoirs + application to student writing
Teaching method: Close reading of canonical memoirs with guidance on applying techniques
Source: MIT OpenCourseWare - Bestsellers: The Memoir (21L.310), taught by Dr. Wyn Kelley
Texts analyzed:
- Tobias Wolff's This Boy's Life - scope, selectivity, unreliable narrator
- Barack Obama's Dreams from My Father - memory reconstruction and honesty
- Ayaan Hirsi Ali's Infidel - writing about trauma with proportion
- Alison Bechdel's Fun Home - graphic memoir and visual narrative techniques
- Course themes - connecting personal and social themes in memoir
Topics:
- Autobiography vs. memoir distinction
- Memory and reconstruction in memoir
- Writing about trauma and difficult experiences
- Visual narrative and pacing techniques
- Connecting personal stories to larger human themes
- Translating textual analysis into writing technique
- Applying published memoir techniques to student memoir assignment
Best for: Training models to help writers understand published memoir craft and apply those techniques to their own writing. Bridges literary analysis and creative writing instruction.
8. composing_your_life_self_exploration.jsonl (5 examples)
Focus: Self-exploration through multiple media (writing, photography, visual art)
Teaching method: Guided exercises and coaching questions for identity exploration
Source: MIT OpenCourseWare - Composing Your Life: Exploration of Self through Visual Arts and Writing (ES.240), taught by Graham Gordon Ramsay and Dr. Holly Sweet
Topics:
- Identifying self-exploration themes (personal history, self-portrayal, identity, values)
- Integrating visual and written elements for layered meaning
- Exploring race, gender, and identity (specificity, contradiction, sensitivity)
- Weekly exercise practice (journal writing, memorabilia collection, photography)
- Creating mixed-media self-projects (design, form selection, presentation)
- Objects and photographs as narrative anchors
- The gap between private and public self
Key Course Themes:
- Personal and family history
- How we portray ourselves to the world
- Concepts of race and gender
- How others see us
- Analysis of the world around us
- How history impacts identity
- The values by which we lead our lives
Best for: Training models to guide self-exploration projects, help with mixed-media composition, coach on integrating visual and written elements, and support sensitive identity exploration.
Dataset Characteristics
Format
JSONL (JSON Lines) - One complete training example per line
Standard structure:
{
"messages": [
{
"role": "system",
"content": "[coaching/instructional system prompt]"
},
{
"role": "user",
"content": "[user question or challenge]"
},
{
"role": "assistant",
"content": "[expert response with techniques and/or coaching questions]"
}
],
"metadata": {
"source_text": "[original source material]",
"topic": "[specific topic]",
"category": "[dataset category]",
"difficulty": "[beginner/intermediate/advanced]",
"coach_elements": "[list of coaching aspects covered]",
"technique_elements": "[list of writing techniques covered]"
}
}
Statistics
| Dataset | Examples | File Size | Focus |
|---|---|---|---|
| Coaching Questions | 9 | 21K | Discovery questions |
| Comprehensive | 9 | 23K | Hybrid coaching + technique |
| Core Dataset | 27 | 72K | Foundational instruction |
| Extended Dataset | 26 | 133K | Advanced techniques |
| Thesis Framework | 6 | 15K | Analytical framework |
| Personal Narrative | 6 | 14K | Beginner-focused |
| Bestsellers Analysis | 6 | 18K | Literary analysis & craft |
| Self-Exploration | 5 | 16K | Mixed-media identity exploration |
| TOTAL | 117 | 312K | All aspects |
Source Materials
Open Educational Resources
MIT OpenCourseWare - Popular Narrative: Masterminds (21L.430)
- Course materials on narrative analysis and thesis building
- Framework for understanding stories thematically
MIT OpenCourseWare - Bestsellers: The Memoir (21L.310)
- Close reading and analysis of canonical memoirs
- Translating literary analysis into memoir writing technique
- Instructor: Dr. Wyn Kelley
- Texts: Tobias Wolff, Barack Obama, Ayaan Hirsi Ali, Edwidge Danticat, Alison Bechdel
MIT OpenCourseWare - Composing Your Life: Exploration of Self (ES.240)
- Interdisciplinary approach to self-exploration through multiple media
- Integration of visual and written elements for identity expression
- Instructors: Graham Gordon Ramsay, Dr. Holly Sweet
- Focus: Photography, mixed-media, personal narrative, identity themes
Open Oregon Educational Resources
- About Writing: A Guide by Robin Jeffrey
- Comprehensive writing instruction
Open SUNY Textbooks
- Teaching Autoethnography: Personal Writing in the Classroom by Melissa Tombro
- Pedagogy-focused approaches to personal writing
LibreTexts OpenStax Resources
- Elements of Creative Writing (2nd Edition)
- Bad Ideas About Writing by Cheryl E. Ball & Drew M. Loewe
- The Anti-Textbook of Writing
- Writing a Personal Narrative
- Writing Fabulous Features
- Yoga Minds Writing Bodies
All sources are open-licensed (CC BY, CC BY-NC-SA, etc.)
Writing Techniques Covered
The datasets collectively cover these writing techniques:
Structure & Organization:
- Chronological vs. thematic organization
- Parallel narrative structure
- Multiple timeline handling
- Scene selection and development
- Transitions between time periods
- Narrative turning points
Voice & Perspective:
- Authentic voice development
- Narrative distance and perspective
- Point of view consistency
- Sentence rhythm and vocabulary choice
- Conversational tone
Detail & Description:
- Sensory specificity
- Scene description that serves narrative
- Dialogue reconstruction
- Embodied writing (physical sensation)
- Specific detail over generic description
- Pacing through proportion
Meaning & Structure:
- Narrative effect (the point)
- Thematic organization
- Finding and developing core stories
- Identifying turning points
- Building thesis
Ethical Writing:
- Ethical boundaries with real people
- Truth in memory
- Honesty about what's remembered vs. reconstructed
- Fair representation
Coaching Approaches Covered
The datasets teach these coaching methodologies:
- Discovery Questions - Questions that help users uncover their own stories
- Technique Instruction - Clear explanation of writing techniques with examples
- Application Coaching - Questions that help users apply techniques to their own work
- Myth-Busting - Addressing common false beliefs about writing
- Problem-Solving - Addressing specific writing challenges
- Framework-Based - Teaching systematic approaches (like the 4-step thesis framework)
How to Use These Datasets
For General Memoir Coaching
Combine: Core Dataset + Extended Dataset + Comprehensive Dataset
This trains your model to:
- Understand memoir craft comprehensively
- Address common writing challenges
- Provide both instruction and coaching
For Discovery-Focused Coaching
Combine: Coaching Questions + Thesis Framework
This trains your model to:
- Ask generative questions
- Help users clarify their narratives
- Guide thematic development
For Personal Narrative Teaching
Use: Personal Narrative Coaching + one of the comprehensive sets
This trains your model to:
- Teach personal narrative structure
- Help beginners understand narrative effect
- Guide organizing around meaning
For Literary Analysis + Writing Craft
Combine: Bestsellers Analysis + one of the comprehensive sets
This trains your model to:
- Analyze published memoir technique
- Help writers understand how professional memoirs work
- Apply published examples to students' own writing
- Bridge literary analysis and creative writing
For Mixed-Media Self-Exploration
Use: Self-Exploration + Coaching Questions or Thesis Framework
This trains your model to:
- Guide self-exploration through multiple media (writing, photography, visual art)
- Help integrate visual and written elements for identity expression
- Coach on sensitive identity topics (race, gender, values)
- Structure personal projects that combine different media
For Full Stack Training
Use all 8 datasets combined
This trains your model to:
- Provide comprehensive memoir guidance
- Coach AND instruct
- Address any aspect of memoir/personal narrative writing
- Teach both through analysis of published texts and direct instruction
Integration with Fine-tuning
OpenAI API
openai api fine_tunes.create \
-t datasets/memoir_ghostwriting_comprehensive.jsonl \
-m gpt-3.5-turbo
HuggingFace / Llama
from datasets import load_dataset
# Load JSONL file
dataset = load_dataset('json', data_files='memoir_ghostwriting_comprehensive.jsonl')
# Prepare for training...
Recommended Parameters
- Learning rate: 2e-5 to 5e-5 (adjust based on base model)
- Epochs: 3-5
- Batch size: 4-8 (depending on model size)
- Warm-up steps: 10% of total training steps
- Max sequence length: 2048
Quality Assurance
✓ All entries hand-written (not auto-generated)
✓ Based on peer-reviewed, published sources
✓ Emphasis on specific, actionable guidance
✓ Metadata tags for easy filtering
✓ Multiple difficulty levels (beginner → advanced)
✓ Balance of instruction and coaching
✓ Practical examples throughout
Future Expansion Ideas
- Specific narrative types (medical memoir, immigrant narrative, cultural narrative)
- Student/client work samples with coaching feedback
- Advanced topics (narrative across cultures, trauma-informed writing)
- Recorded coaching sessions (transcribed)
- Integration with specific literary text analysis
- Genre-specific guidance (academic memoir, essay, feature writing)
Contact & Attribution
Dataset compiled: April 2026
Format: JSONL (industry standard)
Total size: ~278KB
Entries: 106 complete training examples
Sources: Open Educational Resources (CC-licensed)
- MIT OpenCourseWare
- Open Oregon Educational Resources
- Open SUNY Textbooks
- LibreTexts OpenStax
License
All source materials are open-licensed. These derived datasets are appropriate for training machine learning models under the same open-license frameworks.
Recommended citation:
Memoir & Personal Narrative Finetuning Datasets (2026)
Compiled from MIT OpenCourseWare and Open Educational Resources
Format: JSONL, 106 examples, ~40,000 words
Ready to use. Start training.
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