| # Selected Probes |
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| 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. |
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| --- |
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| ## 5 — `hist_fig_ismale` |
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| **Entries:** 5,000 | **Avg prompt length:** 20 chars | **Max:** 70 chars |
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| **Prompts:** Historical figure names (e.g. "Margaret of Clisson", "Billy Mays"). |
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| **Target:** 1 = male, 0 = female — 50% / 50% |
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| --- |
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| ## 6 — `hist_fig_isamerican` |
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| **Entries:** 5,000 | **Avg prompt length:** 17 chars | **Max:** 65 chars |
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| **Prompts:** Historical figure names (same pool as above). |
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| **Target:** 1 = American, 0 = non-American — 50% / 50% |
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| --- |
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| ## 22 — `headline_isobama` |
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| **Entries:** 1,656 | **Avg prompt length:** 57 chars | **Max:** 108 chars |
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| **Prompts:** News headlines (e.g. "Obama Sticks to a Deadline in Iraq ."). |
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| **Target:** 1 = headline is about Obama, 0 = not about Obama — 50% / 50% |
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| *Note: target column was originally True/False; converted to 1/0.* |
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| --- |
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| ## 36 — `sciq_tf` |
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| **Entries:** 5,000 | **Avg prompt length:** 94 chars | **Max:** 427 chars |
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| **Prompts:** Science question + answer pairs formatted as `Q: ...\nA: ...`. |
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| **Target:** 1 = answer is correct, 0 = answer is incorrect — 50% / 50% |
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| --- |
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| ## 49 — `cm_isshort` |
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| **Entries:** 5,000 | **Avg prompt length:** 981 chars | **Max:** 9,851 chars |
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| **Prompts:** Reddit-style posts and stories (long-form text, variable topics). |
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| **Target:** 1 = short text, 0 = long text — 50% / 50% |
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| *Note: target column was originally True/False; converted to 1/0.* |
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| --- |
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| ## 51 — `just_is` |
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| **Entries:** 5,000 | **Avg prompt length:** 103 chars | **Max:** 327 chars |
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| **Prompts:** Short descriptions of a person's action or decision, written in first or third person. |
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| **Target:** 1 = action is justified, 0 = not justified — 50% / 50% |
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| --- |
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| ## 65 — `high-school` |
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| **Entries:** 3,200 | **Avg prompt length:** 108 chars | **Max:** 786 chars |
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| **Prompts:** Miscellaneous text excerpts, some of which contain a "high school" bigram near the end. |
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| **Target:** 1 = ends with "high school" bigram, 0 = does not — 50% / 50% |
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| --- |
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| ## 92 — `glue_sst2` |
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| **Entries:** 5,000 | **Avg prompt length:** 53 chars | **Max:** 256 chars |
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| **Prompts:** Movie review excerpts (from the SST-2 benchmark). |
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| **Target:** 1 = positive sentiment, 0 = negative sentiment — 50% / 50% |
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| --- |
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| ## 96 — `spam_is` |
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| **Entries:** 1,494 | **Avg prompt length:** 108 chars | **Max:** 791 chars |
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| **Prompts:** SMS/text messages of varying content and length. |
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| **Target:** 1 = spam, 0 = not spam — 50% / 50% |
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| --- |
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| ## 122 — `us_timezone_Los_Angeles` |
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| **Entries:** 3,332 | **Avg prompt length:** 13 chars | **Max:** 89 chars |
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| **Prompts:** US location names (cities, towns, neighborhoods). |
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| **Target:** 1 = Pacific timezone (Los Angeles), 0 = other timezone — 50% / 50% |
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| --- |
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| ## 129 — `arith_mc_A` |
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| **Entries:** 1,494 | **Avg prompt length:** 53 chars | **Max:** 67 chars |
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| **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. |
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| **Target:** 1 = correct answer is A, 0 = correct answer is not A — 50% / 50% |
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| --- |
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| ## 139 — `news_class_Politics` |
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| **Entries:** 2,500 | **Avg prompt length:** 237 chars | **Max:** 745 chars |
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| **Prompts:** News article headlines + body snippets from various sections. |
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| **Target:** 1 = politics section, 0 = not politics — 50% / 50% |
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| --- |
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| ## 145 — `disease_class_digestive system diseases` |
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| **Entries:** 1,052 | **Avg prompt length:** 1,236 chars | **Max:** 2,939 chars |
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| **Prompts:** Abstracts from medical/science articles about diseases. |
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| **Target:** 1 = digestive system disease, 0 = other disease category — 50% / 50% |
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| --- |
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| ## 150 — `twt_emotion_sadness` |
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| **Entries:** 2,500 | **Avg prompt length:** 76 chars | **Max:** 152 chars |
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| **Prompts:** Tweets of varying emotional tone. |
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| **Target:** 1 = tweet expresses sadness, 0 = other emotion — 50% / 50% |
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| --- |
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| ## 159 — `code_Python` |
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| **Entries:** 3,672 | **Avg prompt length:** ~3,500 chars (median) | **Max:** 24,999 chars |
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| **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. |
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| **Target:** 1 = Python code, 0 = other language — 50.5% / 49.5% |
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