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Datasets:
Torilando1998
/
astrodai-sample-dossiers

Tasks:
Text Generation
Question Answering
Languages:
English
Size:
n<1K
Tags:
astrology
vedic-astrology
ai-prompt
ai-agent
claude
chatgpt
License:
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
                  raise DataFilesNotFoundError("No task.toml or instruction.md files found")
              datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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.

📜 Astrodai AI-Native Vedic Life Dossier (Sample Files)

Listed on mcpservers.org Open in Hugging Face Spaces GitHub Repo Astrodai Dossiers

Official downloadable sample file of an Astrodai Master Life Dossier (.md) formatted for Claude, ChatGPT, Cursor, and Autonomous AI Agents.

💡 What is an Astrodai Life Dossier File?

Standard AI models hallucinate astrological calculations because continuous planetary mechanics cannot be computed in neural network weights.

An Astrodai Life Dossier is a permanent, single-file AI-native asset containing:

  1. Embedded AI System Prompt Protocol (%IX): Instructs your frontier LLM (Claude 3.5 Sonnet, GPT-4o, Cursor) to act as a grounded astrological advisor without hallucinating or making unfounded claims.
  2. Deterministic Mathematical Ground Truth: Calibrated to Swiss Ephemeris algorithms and Windows Jagannatha Hora (JHora 8.0) down to the arcsecond.
  3. All 23 Classical Divisional Vargas (D-1 to D-60): Full mathematical resolution for career (D-10), marriage (D-9), wealth (D-2/D-11), and foundational karma (D-60).
  4. 16 Shadbala Strength Metrics: Exact objective planetary execution ratios.
  5. 120-Year Vimshottari Dasha Chapter Dates: Microsecond Julian Day precision for life chapter start and end dates.

🧪 Try It Yourself in 30 Seconds

  1. Download astrodai-sample-complete-file.md from this repository.
  2. Open Claude (recommended: Claude 3.5 Sonnet) or ChatGPT Plus.
  3. Upload the .md file directly into your chat.
  4. Try asking:
    • "What does my chart indicate about my career path and timing?"
    • "When does my current dasha period end, and what chapter begins next?"
    • "What are my strongest planets according to Shadbala?"

Watch how the AI reads the coded tables and gives an extraordinarily deep, mathematically grounded reading without a single generic horoscope cliché.

🏛️ Order Your Custom 23-Varga Life Dossier File

While this repository provides an anonymized sample file for developer testing, serious founders, executives, and high-conviction decision-makers unlock their own multi-decade strategic architecture:

👉 Order Your Custom Astrodai Life Dossier at astrodai.com/your-file →

Delivered as a permanent, portable, AI-native Markdown file calibrated for lifetime use with any current or future frontier AI model.

🛠️ Ground Truth Tools & MCP Endpoints

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