PhD Data and Research Stats

Overview

Generated3/27/2026, 4:54:23 PM

JSON datasets9

Tabular datasets8

Total rows across tabular datasets2173

summary.total_ai_texts398
per_text.ai(rows)392
label.summary_ai_vs_per_textdelta: -6
model_comparison.total_texts(sum)548
comprehensive.rows542
total.model_sum_vs_comprehensivedelta: -6
model_comparison.total_texts(sum)548
per_text.rows542
total.model_sum_vs_per_textdelta: -6
summary.total_texts548
comprehensive.rows542
total.summary_vs_comprehensivedelta: -6
summary.total_texts548
per_text.rows542
total.summary_vs_per_textdelta: -6
per_text.ai(rows)392
comprehensive.ai(rows)392
label.per_text_ai_vs_comprehensivedelta: 0
per_text.human(rows)150
comprehensive.human(rows)150
label.per_text_human_vs_comprehensivedelta: 0
summary.total_ai_texts398
model_comparison.ai(total_texts)398
label.summary_ai_vs_modeldelta: 0
summary.total_human_texts150
model_comparison.human(total_texts)150
label.summary_human_vs_modeldelta: 0
summary.total_human_texts150
per_text.human(rows)150
label.summary_human_vs_per_textdelta: 0

Mismatch: d3_summary_stats.total_texts=548 but d3_per_text_scatter rows=542.
Mismatch: d3_summary_stats.total_texts=548 but d3_comprehensive_metrics rows=542.
Mismatch: sum(d3_model_comparison.total_texts)=548 but d3_per_text_scatter rows=542.
Mismatch: sum(d3_model_comparison.total_texts)=548 but d3_comprehensive_metrics rows=542.

top-level: object | rows path: data | rows: 7 | fields: 8

Field	Present	Types
citation_total_count	7	float, integer
discourse_marker_count	7	float
doi_count	7	integer
enumeration_cue_count	7	float
label	7	string
list_item_count	7	float, integer
model	7	string
url_count	7	float, integer

top-level: object | rows path: data | rows: 542 | fields: 8

Field	Present	Types
citations	542	object
label	542	string
lexical	542	object
model	542	string
readability	542	object
source	542	string
structure	542	object
stylometric	542	object

top-level: object | rows path: data | rows: 7 | fields: 8

Field	Present	Types
avg_word_length_mean	7	float
flesch_kincaid_grade_mean	7	float
flesch_reading_ease_mean	7	float
label	7	string
long_word_ratio_mean	7	float
model	7	string
type_token_ratio_mean	7	float
type_token_ratio_median	7	float

top-level: object | rows path: data | rows: 7 | fields: 7

Field	Present	Types
avg_chars_per_word	7	float
avg_sentence_length	7	float
avg_word_count	7	float, integer
label	7	string
median_word_count	7	float, integer
model	7	string
total_texts	7	integer

top-level: object | rows path: data | rows: 1050 | fields: 7

Field	Present	Types
count	1050	integer
label	1050	string
model	1050	string
n	1050	integer
ngram	1050	string
per_1k_ngrams	1050	float
relative_freq	1050	float

top-level: object | rows path: data | rows: 542 | fields: 7

Field	Present	Types
avg_word_length	542	float, integer
flesch_reading_ease	542	float
label	542	string
model	542	string
source	542	string
type_token_ratio	542	float
word_count	542	integer

top-level: object | rows path: data | rows: 11 | fields: 6

Field	Present	Types
avg_sentence_length	11	float
avg_word_count	11	float, integer
chars_per_word	11	float
label	11	string
model	11	string
source	11	string

top-level: object | rows path: data | rows: 7 | fields: 7

Field	Present	Types
first_person_per_1k_words	7	float
hedge_per_1k_words	7	float
label	7	string
modal_per_1k_words	7	float
model	7	string
second_person_per_1k_words	7	float
third_person_per_1k_words	7	float

top-level: object | rows path: n/a | rows: 0 | fields: 0

No tabular fields detected for this dataset.