Selected Probes
Each probe is a CSV with prompt, prompt_len, and target columns. All targets are 0/1 integers unless noted. All datasets are balanced (50/50) unless noted.
5 — hist_fig_ismale
Entries: 5,000 | Avg prompt length: 20 chars | Max: 70 chars
Prompts: Historical figure names (e.g. "Margaret of Clisson", "Billy Mays").
Target: 1 = male, 0 = female — 50% / 50%
6 — hist_fig_isamerican
Entries: 5,000 | Avg prompt length: 17 chars | Max: 65 chars
Prompts: Historical figure names (same pool as above).
Target: 1 = American, 0 = non-American — 50% / 50%
22 — headline_isobama
Entries: 1,656 | Avg prompt length: 57 chars | Max: 108 chars
Prompts: News headlines (e.g. "Obama Sticks to a Deadline in Iraq .").
Target: 1 = headline is about Obama, 0 = not about Obama — 50% / 50%
Note: target column was originally True/False; converted to 1/0.
36 — sciq_tf
Entries: 5,000 | Avg prompt length: 94 chars | Max: 427 chars
Prompts: Science question + answer pairs formatted as Q: ...\nA: ....
Target: 1 = answer is correct, 0 = answer is incorrect — 50% / 50%
49 — cm_isshort
Entries: 5,000 | Avg prompt length: 981 chars | Max: 9,851 chars
Prompts: Reddit-style posts and stories (long-form text, variable topics).
Target: 1 = short text, 0 = long text — 50% / 50%
Note: target column was originally True/False; converted to 1/0.
51 — just_is
Entries: 5,000 | Avg prompt length: 103 chars | Max: 327 chars
Prompts: Short descriptions of a person's action or decision, written in first or third person.
Target: 1 = action is justified, 0 = not justified — 50% / 50%
65 — high-school
Entries: 3,200 | Avg prompt length: 108 chars | Max: 786 chars
Prompts: Miscellaneous text excerpts, some of which contain a "high school" bigram near the end.
Target: 1 = ends with "high school" bigram, 0 = does not — 50% / 50%
92 — glue_sst2
Entries: 5,000 | Avg prompt length: 53 chars | Max: 256 chars
Prompts: Movie review excerpts (from the SST-2 benchmark).
Target: 1 = positive sentiment, 0 = negative sentiment — 50% / 50%
96 — spam_is
Entries: 1,494 | Avg prompt length: 108 chars | Max: 791 chars
Prompts: SMS/text messages of varying content and length.
Target: 1 = spam, 0 = not spam — 50% / 50%
122 — us_timezone_Los_Angeles
Entries: 3,332 | Avg prompt length: 13 chars | Max: 89 chars
Prompts: US location names (cities, towns, neighborhoods).
Target: 1 = Pacific timezone (Los Angeles), 0 = other timezone — 50% / 50%
129 — arith_mc_A
Entries: 1,494 | Avg prompt length: 53 chars | Max: 67 chars
Prompts: Arithmetic questions with four multiple-choice answers, formatted as:
Calculate 63 - 5 =
A.57 B.59 C.68 D.58
Answer: A
"Answer: A" appended to each prompt to steer the model toward option A.
Target: 1 = correct answer is A, 0 = correct answer is not A — 50% / 50%
139 — news_class_Politics
Entries: 2,500 | Avg prompt length: 237 chars | Max: 745 chars
Prompts: News article headlines + body snippets from various sections.
Target: 1 = politics section, 0 = not politics — 50% / 50%
145 — disease_class_digestive system diseases
Entries: 1,052 | Avg prompt length: 1,236 chars | Max: 2,939 chars
Prompts: Abstracts from medical/science articles about diseases.
Target: 1 = digestive system disease, 0 = other disease category — 50% / 50%
150 — twt_emotion_sadness
Entries: 2,500 | Avg prompt length: 76 chars | Max: 152 chars
Prompts: Tweets of varying emotional tone.
Target: 1 = tweet expresses sadness, 0 = other emotion — 50% / 50%
159 — code_Python
Entries: 3,672 | Avg prompt length: ~3,500 chars (median) | Max: 24,999 chars
Prompts: Code snippets of varying length and language. Filtered to <25k chars (dropped 328 rows that were large auto-generated files, C headers, etc.); original max was 853k chars and outliers skewed slightly non-Python.
Target: 1 = Python code, 0 = other language — 50.5% / 49.5%