Directory listing for /
.claude/
.code-review-graph/
.playwright-mcp/
56_QUESTION_TYPES_COMPLETE.md
56_QUESTION_TYPES_EXAMPLES.json
56_question_types_examples.md
56_TYPES_FULL_EXAMPLES.md
a100_ayurveda_cells_all.txt
a100_ayurveda_training_cells.zip
a100_cell_01_install.py
a100_cell_02_config.py
a100_cell_03_dataset.py
a100_cell_04_model.py
a100_cell_05_lora.py
a100_cell_06_args.py
a100_cell_07_trainer.py
a100_cell_08_train.py
a100_cell_09_save.py
a100_cell_10_test.py
a100_cells_corrected.txt
a100_cells_FINAL.txt
a100_cells_FINAL_v3.txt
analysis_report.txt
analysis_result.json
analyze_jsonl.out
analyze_jsonl.py
ayurveda_training_cells.zip
cell_01_config.py
cell_02_imports.py
cell_03_dataset.py
cell_04_model.py
cell_05_lora.py
cell_06_args.py
cell_07_trainer.py
cell_08_train.py
cell_09_save.py
cell_10_merge.py
cell_11_test.py
check_clean_refs.json
cloudflared.exe
count_shlokas.py
create_200k_subset.py
create_full_56_doc.py
csv_to_json_fixed.py
DATASET_README.md
dataset_split_stats.json
dataset_viewer.html
example_clean.json
example_curated.json
example_hi.json
example_natural_conceptual_en_v1.json
example_natural_conceptual_en_v2.json
example_natural_conceptual_en_v3.json
example_natural_conceptual_en_v4.json
example_ready.json
example_ref_en.json
example_sa.json
extract_all_56_types.py
fix_csv_source_verse.py
fix_csv_verse.py
fix_examples_md.py
fix_for_unsloth.py
fix_for_unsloth_v2.py
fix_for_unsloth_v3.py
formatted_report.txt
gemma3.ipynb
gemma3_4b_cells_FINAL.txt
gemma3_4b_cells_FINAL_v2.txt
gemma3_4b_cells_FINAL_v3.txt
gemma3_4b_cells_FINAL_v4.txt
gemma3_4b_cells_FINAL_v5.txt
gemma3_4b_cells_HF_FINAL.txt
gemma4_ayurveda_200k_alpaca.csv
gemma4_ayurveda_200k_subset.jsonl
gemma4_ayurveda_56variations.jsonl
gemma4_ayurveda_complete.jsonl
gemma4_ayurveda_complete_full.jsonl
gemma4_ayurveda_dataset.jsonl
gemma4_ayurveda_enriched_final.jsonl
gemma4_ayurveda_final_combined.jsonl
gemma4_ayurveda_full_enriched.jsonl
gemma4_ayurveda_master.jsonl
gemma4_ayurveda_master_clean.jsonl
gemma4_ayurveda_multilingual_master.jsonl
gemma4_ayurveda_train.jsonl
gemma4_ayurveda_training.csv
gemma4_ayurveda_trilingual_complete.jsonl
gemma4_ayurveda_trilingual_final.jsonl
gemma4_ayurveda_ultra_enriched.jsonl
gemma4_ayurveda_unsloth_500mb.jsonl
gemma4_ayurveda_unsloth_500mb_FINAL.jsonl
gemma4_ayurveda_unsloth_clean.jsonl
gemma4_ayurveda_unsloth_clean_WITH_REFS.jsonl
gemma4_ayurveda_unsloth_ready.jsonl
gemma4_ayurveda_val.jsonl
gemma4_full_dataset_stats.json
generate_56variations_dataset.py
generate_full_enriched_dataset.py
generate_gemma4_dataset.py
inject_refs_clean.py
make_500mb_subset.py
make_500mb_with_refs.py
make_sample.py
make_sample_fast.py
make_sample_nobigfile.py
merge_curated_questions.py
merge_datasets_streaming.py
PYEOF
README_A100_Cells.txt
README_CELLS.txt
sample_10_shlokas.json
sample_200k.py
sample_500mb_check.json
sample_conversations.json
serve_500mb.py
serve_500mb_log.txt
serve_a100_zip.py
serve_a100_zip_log.txt
serve_clean_log.txt
serve_jupyter_log.txt
serve_jupyter_script.py
serve_log.txt
serve_log2.txt
serve_notebook.py
serve_notebook_log.txt
serve_resume.py
serve_resume_clean.py
serve_script.py
serve_script_log.txt
serve_txt.py
serve_txt_log.txt
serve_zip.py
serve_zip_log.txt
shlokas_export_2026-04-30.json
shlokas_export_2026-05-14.csv
shlokas_export_2026-05-14_FIXED.csv
shlokas_export_2026-05-14_FIXED.json
shlokas_export_2026-05-14_SORTED.json
sort_shlokas_json.py
split_dataset.py
strip_metadata_for_unsloth.py
temp_sample.jsonl
Thumbs.db
train_ayurveda_jupyter.py
train_ayurveda_unsloth.ipynb
train_gemma4_ayurveda.py
unsloth_compiled_cache/
viewer_working.png