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  ---
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- dataset_info:
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- features:
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- - name: example_id
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- dtype: string
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- - name: synthetic_id
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- dtype: string
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- - name: system
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- dtype: string
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- - name: facts
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- struct:
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- - name: birth_input
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- struct:
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- - name: date
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- dtype: timestamp[s]
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- - name: time
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- dtype: string
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- - name: tz_offset_hours
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- dtype: float64
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- - name: place
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- dtype: string
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- - name: lat
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- dtype: float64
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- - name: lon
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- dtype: float64
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- - name: zodiac_type
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- dtype: string
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- - name: ascendant
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: sub_lord
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- dtype: string
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- - name: planets
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- struct:
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- - name: Sun
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Moon
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Mars
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Mercury
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Jupiter
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Venus
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Saturn
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Rahu
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: Ketu
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- struct:
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- - name: longitude
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- dtype: float64
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- - name: rashi
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- dtype: string
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- - name: nakshatra
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- dtype: string
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- - name: pada
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- dtype: int64
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- - name: navamsa_sign
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- dtype: string
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- - name: sub_lord
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- dtype: string
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- - name: vimshottari_dasha
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- list:
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- - name: mahadasha_lord
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- dtype: string
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- - name: start
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- dtype: timestamp[s]
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- - name: end
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- dtype: timestamp[s]
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- - name: years
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- dtype: float64
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- - name: current_dasha
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- struct:
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- - name: mahadasha
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- dtype: string
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- - name: retrieved_rules
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- list:
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- - name: id
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- dtype: string
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- - name: name
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- dtype: string
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- - name: effect
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- dtype: string
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- - name: citation
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- dtype: string
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- - name: question_type
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- dtype: string
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- - name: user_question
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- dtype: string
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- - name: response
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- dtype: string
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- - name: citations
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- list: string
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- - name: source
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 243487015
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- num_examples: 89916
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- - name: validation
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- num_bytes: 13734267
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- num_examples: 5104
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- - name: test
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- num_bytes: 13424054
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- num_examples: 4980
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- download_size: 185423310
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- dataset_size: 270645336
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ tags:
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+ - astrology
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+ - kp-astrology
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+ - krishnamurti-paddhati
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+ - vedic-astrology
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+ - sub-lord
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+ pretty_name: KP System (Krishnamurti Paddhati) SFT Dataset
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+ size_categories:
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+ - 100K<n<1M
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # KP System (Krishnamurti Paddhati) SFT Dataset
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+
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+ Sidereal Vedic chart plus KP's distinguishing sub-lord layer — each planet and the Ascendant get a sub-lord via proportional nakshatra subdivision.
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+
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+ | | |
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+ |---|---|
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+ | Total examples | 100000 |
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+ | Train / Validation / Test | 89916 / 5104 / 4980 |
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+ | Question types | 4 |
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+ | Avg citations per example | 4.097 |
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+ | Zero-citation examples | 0 |
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+
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+ ## Computation
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+
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+ Deterministic astronomy (pyswisseph, Lahiri sidereal) + a proportional-subdivision sub-lord formula.
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+
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+ ## Validation status — read before trusting this at scale
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+
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+ Sub-lord formula independently checked for internal consistency: the 9 proportional spans sum to exactly one nakshatra (13°20') with no gaps or overlaps, and produce exactly the 9 expected lords in the correct sequence across a fine-grained scan (see companion repo tests/test_kp_sublord.py).
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+
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+ ## Schema
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+
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+ | Field | Type | Description |
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+ |---|---|---|
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+ | `example_id` | string | `{synthetic_id}_{question_type}` |
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+ | `synthetic_id` | string | ID of the underlying synthetic input |
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+ | `system` | string | `"kp_system"` |
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+ | `facts` | dict | Full computed output for this system (chart/pillars/numbers depending on system) |
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+ | `retrieved_rules` | list[dict] | Rules/observations matched for this input |
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+ | `question_type` | string | See distribution below |
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+ | `user_question` | string | Synthetic user question |
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+ | `response` | string | Grounded reading — every claim traces to `facts` or `retrieved_rules` |
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+ | `citations` | list[string] | Which rules the response draws on |
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+ | `source` | string | `"rule_matched"` for all rows in this version |
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+
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+ Question type distribution: `general_natal`: 25000, `career`: 25000, `marriage_timing`: 25000, `sub_lord_reading`: 25000
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("YOUR_USERNAME/kp_system-sft")
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+ print(ds)
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+
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+ ex = ds["train"][0]
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+ print(ex["user_question"])
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+ print(ex["response"])
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+ ```
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+
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+ ## What this dataset does NOT claim
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+
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+ Like every dataset in this collection, this teaches a model to narrate a
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+ correctly-computed KP System (Krishnamurti Paddhati) reading using its own traditional rules
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+ faithfully and with citations. It does not, and cannot, contain any
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+ ground truth about whether any prediction comes true — no such data
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+ exists for any divination system. See the companion repo's top-level
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+ README for the shared "what these datasets don't claim" statement that
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+ applies across the whole collection.
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+
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+ ## Known limitations
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+
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+ - Uses Lahiri ayanamsa, not the KP (Krishnamurti) ayanamsa some strict KP practitioners prefer — a documented simplification, not a KP-specific correction.
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+ - Only 1 level of sub-lord is computed (not the further sub-sub-lord some KP practice uses).
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+ - No house-cusp sub-lords (KP's horary/timing technique often works from cusp sub-lords, not just planet sub-lords) — only planet and Ascendant sub-lords in this version.
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+
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+ ## Companion repo
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+
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+ Full generation pipeline (8 systems, shared scripts) — for regenerating
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+ at larger scale or extending the rule set — is the companion GitHub repo
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+ `astrology-datasets` (update this link once pushed).
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+
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+ ## License
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+
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+ Apache 2.0. All computed data is synthetic (no real people). Rule/effect
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+ text is written in-house, paraphrasing widely known traditional
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+ principles, not reproduced from any single copyrighted source.