id int64 2 57 | source_dataset stringclasses 7
values | question stringlengths 54 605 | expected_answer stringlengths 1 234 | model_output stringlengths 6 769 | score stringclasses 2
values | grader_explanation stringlengths 300 2.13k | model stringclasses 1
value | total_time float64 17.9 175 | error stringclasses 0
values | metadata stringlengths 124 621 |
|---|---|---|---|---|---|---|---|---|---|---|
2 | spell_backward | Spell this word backward (example: sun -> nus): palpation | noitaplap | noitaplap | C | The task is to spell the word "palpation" backward. The word "palpation" consists of the letters p-a-l-p-a-t-i-o-n. Reversing this sequence gives n-o-i-t-a-p-l-a-p, which is "noitaplap". The submitted answer is exactly "noitaplap", and the provided criterion is also "noitaplap". Since the submission matches the expecte... | nvidia/nemotron-3.5-lightning:free | 17.854 | null | {"source_dataset": "spell_backward", "source_index": 1, "word": "palpation", "word_len": 9, "difficulty": {"word_len": [3, 10]}} |
3 | letter_counting | How many times does the letter "r" appear in the text: "years ago its subscription list contained but a few hundred"? | 3 | The letter "r" appears **3** times in the text.
Here's the breakdown:
- `years` → 1 (`...re`rs)
- `subscription` → 1 (`sub`scr*i*ption)
- `hundred` → 1 (`hun`dr*ed*)
No other words in the sentence contain the letter "r".
Final answer: **3** | C | The task asks for the number of times the letter "r" appears in the sentence: "years ago its subscription list contained but a few hundred". To assess the submission, I first need to independently determine the correct count of 'r's in the text.
I examine each word:
- "years": the letters are y-e-a-r-s. There is one '... | nvidia/nemotron-3.5-lightning:free | 46.809 | null | {"source_dataset": "letter_counting", "source_index": 2, "span_length": 10, "target_letter": "r", "span": ["years", "ago", "its", "subscription", "list", "contained", "but", "a", "few", "hundred"], "difficulty": {"words": [5, 15]}} |
4 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in ascending order (using ASCII/Unicode ordering) and return them as a comma-separated list: Once, replies, short, men, fib... | Once, fibers, men, performing, plans, replies, short, unimaginable | Once, fibers, men, performing, plans, replies, short, unimaginable | C | The task requires sorting the given words in ascending order using ASCII/Unicode ordering. The words are: Once, replies, short, men, fibers, unimaginable, performing, plans.
ASCII values for the first characters:
- 'O' (Once) = 79
- 'f' (fibers) = 102
- 'm' (men) = 109
- 'p' (performing, plans) = 112
- 'r' (replies) =... | nvidia/nemotron-3.5-lightning:free | 80.407 | null | {"source_dataset": "word_sorting", "source_index": 3, "original_words": ["Once", "replies", "short", "men", "fibers", "unimaginable", "performing", "plans"], "sorted_words": ["Once", "fibers", "men", "performing", "plans", "replies", "short", "unimaginable"], "transformed_words": ["Once", "replies", "short", "men", "fi... |
6 | letter_counting | How many times does the letter "n" appear in the text: "these eight had only impracticable schemes to propose In fact one of"? | 3 | The letter "n" appears **3 times** in the text.
Here's the breakdown:
- `only` → 1
- `In` → 1
- `one` → 1
No other words in the sentence contain the letter "n". | C | The task is to count how many times the letter "n" appears in the text: "these eight had only impracticable schemes to propose In fact one of".
I will examine each word in the text and tally the occurrences of "n" (case-insensitive).
- **these**: letters t-h-e-s-e → no "n".
- **eight**: letters e-i-g-h-t → no "n... | nvidia/nemotron-3.5-lightning:free | 77.831 | null | {"source_dataset": "letter_counting", "source_index": 5, "span_length": 12, "target_letter": "n", "span": ["these", "eight", "had", "only", "impracticable", "schemes", "to", "propose", "In", "fact", "one", "of"], "difficulty": {"words": [5, 15]}} |
8 | spell_backward | Spell this word backward (example: sun -> nus): gametogony | ynogotemag | ynogotomega | I | The task asks to spell the word "gametogony" backward. The correct backward spelling is obtained by reversing the string of letters: g-a-m-e-t-o-g-o-n-y becomes y-n-o-g-o-t-e-m-a-g, which is "ynogotemag". The submitted answer is "ynogotomega", and the criterion to meet is exactly "ynogotemag". Comparing the two, the su... | nvidia/nemotron-3.5-lightning:free | 32.918 | null | {"source_dataset": "spell_backward", "source_index": 7, "word": "gametogony", "word_len": 10, "difficulty": {"word_len": [3, 10]}} |
10 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in ascending order (using ASCII/Unicode ordering) and return them as a comma-separated list: simplest, transactions, suspen... | next, side, simplest, suspended, transactions, vision | next, side, simplest, suspended, transactions, vision | C | To determine if the submission meets the criterion, I need to verify whether the submitted list is correctly sorted in ascending ASCII/Unicode order and whether it matches the given criterion.
**Step 1: Identify the words to sort**
The task provides the words: `simplest, transactions, suspended, vision, next, side`.... | nvidia/nemotron-3.5-lightning:free | 58.714 | null | {"source_dataset": "word_sorting", "source_index": 9, "original_words": ["simplest", "transactions", "suspended", "vision", "next", "side"], "sorted_words": ["next", "side", "simplest", "suspended", "transactions", "vision"], "transformed_words": ["simplest", "transactions", "suspended", "vision", "next", "side"], "dir... |
12 | sentence_reordering | Restore the correct order of words in the following sentence: alone, Left Mr. | Left alone, Mr. | Mr. Left alone. | I | The task requires restoring the correct order of the words given in "alone, Left Mr." to match the provided criterion "Left alone, Mr." The words involved are "Left", "alone," and "Mr.", with the criterion specifying that "Left" should come first, followed by "alone," (with a comma), and then "Mr." at the end.
The sub... | nvidia/nemotron-3.5-lightning:free | 35.908 | null | {"source_dataset": "sentence_reordering", "source_index": 11, "word_count": 3, "difficulty": {"words_in_sentence": [3, 20]}} |
14 | spell_backward | Spell this word backward (example: sun -> nus): thrawcrook | koorcwarht | koorcwarht | C | The task requires spelling the word "thrawcrook" backward. Reversing the letters of "thrawcrook" (t-h-r-a-w-c-r-o-o-k) gives k-o-o-r-c-w-a-r-h-t. The submitted answer is "koorcwarht", which corresponds exactly to this reversed sequence (k-o-o-r-c-w-a-r-h-t). The criterion is also specified as "koorcwarht". Since the su... | nvidia/nemotron-3.5-lightning:free | 35.856 | null | {"source_dataset": "spell_backward", "source_index": 13, "word": "thrawcrook", "word_len": 10, "difficulty": {"word_len": [3, 10]}} |
15 | caesar_cipher | Decrypt this Caesar cipher text: HBXIW PH WT HTKTGTS RDBBJCXRPIXDC LXIW EPGXH. Provide only the decrypted text as your final answer. | SMITH AS HE SEVERED COMMUNICATION WITH PARIS | SMITH AS HE SEVERED COMMUNICATION WITH PARIS | C | The task requires decrypting a Caesar cipher and comparing the result to the given criterion. The cipher text is "HBXIW PH WT HTKTGTS RDBBJCXRPIXDC LXIW EPGXH", and the criterion (and submission) is "SMITH AS HE SEVERED COMMUNICATION WITH PARIS". To determine if the submission meets the criterion, I first verified whet... | nvidia/nemotron-3.5-lightning:free | 145.538 | null | {"source_dataset": "caesar_cipher", "source_index": 14, "rotation": 15, "cipher_text": "HBXIW PH WT HTKTGTS RDBBJCXRPIXDC LXIW EPGXH", "clear_text": "SMITH AS HE SEVERED COMMUNICATION WITH PARIS", "num_words": 7, "difficulty": {"words": [3, 20], "rotation": [1, 25]}} |
16 | spell_backward | Spell this word backward (example: sun -> nus): roquist | tsiuqor | tsiuqor | C | The task asks to reverse the word "roquist". Reversing it letter by letter gives "tsiuqor". The submitted answer is also "tsiuqor". The criterion listed is "tsiuqor", which corresponds to the expected correct reversed word. Since the submission exactly matches the criterion, it is correct.
GRADE: C | nvidia/nemotron-3.5-lightning:free | 28.334 | null | {"source_dataset": "spell_backward", "source_index": 15, "word": "roquist", "word_len": 7, "difficulty": {"word_len": [3, 10]}} |
17 | sentence_reordering | Restore the correct order of words in the following sentence: what your outcome practical "And be will the discovery? of | "And what will be the practical outcome of your discovery? | And what will be the practical outcome of your discovery? | C | The task requires restoring the correct word order from the jumbled sentence: "what your outcome practical And be will the discovery? of". The given criterion is "And what will be the practical outcome of your discovery?". The submission provided is exactly "And what will be the practical outcome of your discovery?". C... | nvidia/nemotron-3.5-lightning:free | 21.671 | null | {"source_dataset": "sentence_reordering", "source_index": 16, "word_count": 10, "difficulty": {"words_in_sentence": [3, 20]}} |
18 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in descending order (using ASCII/Unicode ordering) and return them as a comma-separated list: confirmation, dissecting, lea... | taxed, never, near, leave, least, hundred, dissecting, confirmation, PROJECT, Donations | taxed, never, near, leave, least, hundred, dissecting, confirmation, PROJECT, Donations | C | The task requires sorting the given words in descending ASCII/Unicode order. The criterion provides the expected sorted list: `taxed, never, near, leave, least, hundred, dissecting, confirmation, PROJECT, Donations`. The submitted answer is `taxed, never, near, leave, least, hundred, dissecting, confirmation, PROJECT, ... | nvidia/nemotron-3.5-lightning:free | 86.576 | null | {"source_dataset": "word_sorting", "source_index": 17, "original_words": ["confirmation", "dissecting", "least", "hundred", "leave", "Donations", "taxed", "near", "never", "PROJECT"], "sorted_words": ["taxed", "never", "near", "leave", "least", "hundred", "dissecting", "confirmation", "PROJECT", "Donations"], "transfor... |
19 | letter_counting | How many times does the letter "k" appear in the text: "electronic works provided that You pay a royalty fee of 20 of"? | 1 | The letter "k" appears **1 time** in the text. It's the lowercase "k" in the word "works".
Text breakdown: `... w o **k** s ...` | C | The task asks for the number of times the letter "k" appears in the given text: "electronic works provided that You pay a royalty fee of 20 of". To evaluate the submission, we must count all occurrences of the letter "k" (case-sensitive or insensitive, but in this text only lowercase 'k' occurs).
Breaking down the te... | nvidia/nemotron-3.5-lightning:free | 24.488 | null | {"source_dataset": "letter_counting", "source_index": 18, "span_length": 12, "target_letter": "k", "span": ["electronic", "works", "provided", "that", "You", "pay", "a", "royalty", "fee", "of", "20", "of"], "difficulty": {"words": [5, 15]}} |
22 | letter_jumble | Your task is to unsramble words in a sentence.
For each word in a sentence, the letter may have been randomly shuffled. Your task is to unscramble the words.
The order of the words in the sentence is preserved. Moreover, the style of the sentence is preserved (i.e. punctuation, capitalization, new lines, etc.).
Your... | copy it give it away | copy it give it away | C | To assess whether the submission meets the criterion, we first examine the task of unscrambling the given words. The scrambled input is "cypo ti giev ti away". Each word must be unscrambled while preserving word order and style (punctuation, capitalization, etc.), yielding a sentence.
We analyze the scrambled word by... | nvidia/nemotron-3.5-lightning:free | 32.262 | null | {"source_dataset": "letter_jumble", "source_index": 21, "num_words": 5, "corruption_level": 0.1928746567, "scrambled_words": ["cypo", "ti", "giev", "ti", "away"], "original_words": ["copy", "it", "give", "it", "away"], "difficulty": {"word_len": [1, 64], "words": [3, 20], "corruption_level": [0.1, 0.9]}} |
24 | letter_counting | How many times does the letter "f" appear in the text: "the Mission of Project Gutenberg Project Gutenberg is synonymous with the free"? | 2 | The letter "f" appears **2 times** in the text.
Here's the breakdown:
- `of` → 1st "f"
- `free` → 2nd "f"
There are no uppercase "F"s or additional lowercase "f"s in the provided text. | C | Step-by-step reasoning:
1. The task is to count the occurrences of the letter "f" (case-insensitive, but the text contains only lowercase 'f's) in the given text: "the Mission of Project Gutenberg Project Gutenberg is synonymous with the free".
2. Examine each word and its letters for the character 'f' or 'F':
- "t... | nvidia/nemotron-3.5-lightning:free | 49.813 | null | {"source_dataset": "letter_counting", "source_index": 23, "span_length": 12, "target_letter": "f", "span": ["the", "Mission", "of", "Project", "Gutenberg", "Project", "Gutenberg", "is", "synonymous", "with", "the", "free"], "difficulty": {"words": [5, 15]}} |
25 | spell_backward | Spell this word backward (example: sun -> nus): caroba | aborac | aborac | C | The task is to spell the word "caroba" backward. Reversing "caroba" letter by letter gives: c-a-r-o-b-a → a-b-o-r-a-c, which is "aborac". The submitted answer is exactly "aborac". The criterion provided is also "aborac". Since the submission matches the criterion perfectly, the answer is correct.
GRADE: C | nvidia/nemotron-3.5-lightning:free | 21.699 | null | {"source_dataset": "spell_backward", "source_index": 24, "word": "caroba", "word_len": 6, "difficulty": {"word_len": [3, 10]}} |
26 | spell_backward | Spell this word backward (example: sun -> nus): archaistic | citsiahcra | citsiahcra | C | The task requires spelling the word "archaistic" backward. Reversing the letters of "archaistic" (a-r-c-h-a-i-s-t-i-c) gives "c-i-t-s-i-a-h-c-r-a", which is "citsiahcra". The submitted answer is "citsiahcra", and the provided criterion is also "citsiahcra". Since the submission exactly matches both the correct reversed... | nvidia/nemotron-3.5-lightning:free | 27.327 | null | {"source_dataset": "spell_backward", "source_index": 25, "word": "archaistic", "word_len": 10, "difficulty": {"word_len": [3, 10]}} |
27 | group_anagrams | An anagram is a word formed by rearranging the letters of a different word, using all the original letters exactly once.
Your job is to group the anagrams together. You can return the answer in any order.
The output is a list of lists of strings, where each outer list contains a group of anagrams, e.g. [["eat", "tea"... | [["ark", "kra"], ["ascebc", "ebcasc"], ["birks", "brisk"], ["calipers", "spiracle"], ["corrida", "ricardo"], ["cremona", "romance"], ["prosode", "spoored"], ["shutes", "tushes", "tusseh"], ["spignel", "spingel"], ["stract", "tracts"]] | Here are the words grouped into their anagram sets. Each inner list contains words that are anagrams of one another (using all letters exactly once). Groups are listed in any order, and within each group the words can appear in any order.
```json
[
["spignel", "spingel"],
["kra", "ark"],
["romance", "cremona"],
... | I | The task is to group anagrams from the given word list. The submission provides a list of 9 anagram groups, with a note that "corrida" and "ricardo" are omitted because the submission claims they do not form anagram pairs with any other word in the list. The criterion, however, is a list of 10 anagram groups that expli... | nvidia/nemotron-3.5-lightning:free | 114.108 | null | {"source_dataset": "group_anagrams", "source_index": 26, "words": ["spignel", "spingel", "kra", "ark", "romance", "cremona", "ascebc", "ebcasc", "spoored", "prosode", "corrida", "ricardo", "brisk", "birks", "stract", "tracts", "tusseh", "tushes", "shutes", "calipers", "spiracle"], "solution": [["ark", "kra"], ["ascebc"... |
30 | letter_counting | How many times does the letter "5" appear in the text: "City UT 84116 801 596 1887 Email contact links and up to date contact"? | 1 | The character "5" appears **1 time** in the text. It's found in the sequence `596` (the third number block). No other digits or words in the string contain the digit 5.
If you literally meant the letter "a" or another character, let me know! But for the digit `5`, the count is `1`. | C | The task asks how many times the character/letter "5" appears in the given text: `"City UT 84116 801 596 1887 Email contact links and up to date contact"`. The submitted answer states that the digit "5" appears exactly 1 time, located in the sequence `596`, and no other part of the text contains the digit 5.
To verify... | nvidia/nemotron-3.5-lightning:free | 47.534 | null | {"source_dataset": "letter_counting", "source_index": 29, "span_length": 14, "target_letter": "5", "span": ["City", "UT", "84116", "801", "596", "1887", "Email", "contact", "links", "and", "up", "to", "date", "contact"], "difficulty": {"words": [5, 15]}} |
31 | spell_backward | Spell this word backward (example: sun -> nus): midwatch | hctawdim | midwatch -> hctawdim | C | The task requires spelling the word "midwatch" backward. Reversing the letters of "midwatch" (m-i-d-w-a-t-c-h) yields the sequence h-c-t-a-w-d-i-m, which spells "hctawdim". The submission provided exactly this result: "hctawdim". The criterion given is also "hctawdim". Since the submission matches the criterion precise... | nvidia/nemotron-3.5-lightning:free | 35.901 | null | {"source_dataset": "spell_backward", "source_index": 30, "word": "midwatch", "word_len": 8, "difficulty": {"word_len": [3, 10]}} |
35 | letter_counting | How many times does the letter "i" appear in the text: "at no additional cost fee or expense"? | 2 | The letter "i" appears **2 times** in the text. Both occurrences are in the word "additional" (`a-d-d-**i**-t-**i**-o-n-a-l`). | C | The task is to count how many times the letter "i" appears in the exact text: "at no additional cost fee or expense".
Step-by-step count of "i" in the text:
- "at" → no "i"
- "no" → no "i"
- "additional" → spelled a-d-**i**-t-**i**-o-n-a-l → contains 2 "i"s
- "cost" → no "i"
- "fee" → no "i"
- "or" → no "i"
- "expense... | nvidia/nemotron-3.5-lightning:free | 25.261 | null | {"source_dataset": "letter_counting", "source_index": 34, "span_length": 7, "target_letter": "i", "span": ["at", "no", "additional", "cost", "fee", "or", "expense"], "difficulty": {"words": [5, 15]}} |
38 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in descending order (using ASCII/Unicode ordering) and return them as a comma-separated list: map, whom, past, suffice, Ave... | whom, suffice, service, past, map, lacks, captivated, bleus_, Avenue, 150 | whom, suffice, service, past, map, lacks, captivated, blues_, Avenue, 150 | C | The task requires sorting the given words in descending order using ASCII/Unicode code point ordering. Descending order means arranging from the highest Unicode value to the lowest.
First, I examine the first character of each word and its Unicode code point:
- "whom" starts with 'w' (119)
- "suffice" and "service" st... | nvidia/nemotron-3.5-lightning:free | 79.024 | null | {"source_dataset": "word_sorting", "source_index": 37, "original_words": ["map", "whom", "past", "suffice", "Avenue", "captivated", "bleus_", "service", "150", "lacks"], "sorted_words": ["whom", "suffice", "service", "past", "map", "lacks", "captivated", "bleus_", "Avenue", "150"], "transformed_words": ["map", "whom", ... |
39 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in descending order (using ASCII/Unicode ordering) and return them as a comma-separated list: territory, tried, house, conc... | tried, territory, house, conceived, cities | tried,territory,house,conceived,cities | C | **Step-by-step reasoning:**
1. **Identify the task and words:** The task is to sort the words *territory, tried, house, conceived, cities* in descending order using ASCII/Unicode code-point ordering, and output them as a comma-separated list.
2. **Determine correct descending order:**
- All words are lowercase. ... | nvidia/nemotron-3.5-lightning:free | 97.426 | null | {"source_dataset": "word_sorting", "source_index": 38, "original_words": ["territory", "tried", "house", "conceived", "cities"], "sorted_words": ["tried", "territory", "house", "conceived", "cities"], "transformed_words": ["territory", "tried", "house", "conceived", "cities"], "direction": "descending", "num_words": 5,... |
41 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in descending order (using ASCII/Unicode ordering) and return them as a comma-separated list: GIVE, ten, 2792, voce_, later... | voce_, ten, small, later, current, GIVE, 2792 | voce_, ten, small, later, current, GIVE, 2792 | C | To determine if the submission meets the criterion, we must verify that the submitted list is correctly sorted in descending order using ASCII/Unicode ordering.
The task requires sorting the words: GIVE, ten, 2792, voce_, later, current, small in descending order (from highest to lowest ASCII/Unicode value). In ASCII/... | nvidia/nemotron-3.5-lightning:free | 76.504 | null | {"source_dataset": "word_sorting", "source_index": 40, "original_words": ["GIVE", "ten", "2792", "voce_", "later", "current", "small"], "sorted_words": ["voce_", "ten", "small", "later", "current", "GIVE", "2792"], "transformed_words": ["GIVE", "ten", "2792", "voce_", "later", "current", "small"], "direction": "descend... |
42 | letter_jumble | Your task is to unsramble words in a sentence.
For each word in a sentence, the letter may have been randomly shuffled. Your task is to unscramble the words.
The order of the words in the sentence is preserved. Moreover, the style of the sentence is preserved (i.e. punctuation, capitalization, new lines, etc.).
Your... | this morning was not niggard of blessings | this morning was ton grading of glibness | I | The task is to unscramble the given words while preserving word order and sentence style. The scrambled input is "tish norginm was tno giragdn fo gbeilsnss". Comparing the submission and the criterion:
- **Submission**: "this morning was ton grading of glibness"
- **Criterion**: "this morning was not niggard of blessi... | nvidia/nemotron-3.5-lightning:free | 49.822 | null | {"source_dataset": "letter_jumble", "source_index": 41, "num_words": 7, "corruption_level": 0.6903320562, "scrambled_words": ["tish", "norginm", "was", "tno", "giragdn", "fo", "gbeilsnss"], "original_words": ["this", "morning", "was", "not", "niggard", "of", "blessings"], "difficulty": {"word_len": [1, 64], "words": [3... |
43 | group_anagrams | An anagram is a word formed by rearranging the letters of a different word, using all the original letters exactly once.
Your job is to group the anagrams together. You can return the answer in any order.
The output is a list of lists of strings, where each outer list contains a group of anagrams, e.g. [["eat", "tea"... | [["antimeric", "carminite", "criminate", "metrician"], ["flook", "kloof"], ["incisure", "sciurine"], ["manitos", "stamnoi"], ["norselled", "rondelles"]] | Here are the anagram groups from the given list:
- **criminate, carminite, metrician, antimeric** – all share the same letters: `a c e i i m n r t`
- **flook, kloof** – both are `f k l o o`
- **stamnoi, manitos** – both are `a i m n o s t`
- **incisure, sciurine** – both are `c e i i n r s u`
The word "rondelles" has... | I | The submission groups four of the five anagram pairs from the given word list, but it omits the pair ["norselled", "rondelles"] that the criterion explicitly includes. The criterion expects all words to be grouped into anagrams, and the correct grouping contains five groups. The submission instead claims that "rondelle... | nvidia/nemotron-3.5-lightning:free | 66.848 | null | {"source_dataset": "group_anagrams", "source_index": 42, "words": ["rondelles", "norselled", "criminate", "carminite", "metrician", "antimeric", "flook", "kloof", "stamnoi", "manitos", "incisure", "sciurine"], "solution": [["antimeric", "carminite", "criminate", "metrician"], ["flook", "kloof"], ["incisure", "sciurine"... |
44 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in descending order (using ASCII/Unicode ordering) and return them as a comma-separated list: copies, wrought, able, gutenb... | wrought, maintaining, gutenberg, copies, able | wrought, maintaining, copies, able | I | The task requires sorting the five words `copies, wrought, able, gutenberg, maintaining` in descending order using ASCII/Unicode (lexicographic) ordering. To determine the correct order, we compare the strings by their character code points. Looking at the first character of each word:
- `wrought` starts with 'w' (Unic... | nvidia/nemotron-3.5-lightning:free | 47.799 | null | {"source_dataset": "word_sorting", "source_index": 43, "original_words": ["copies", "wrought", "able", "gutenberg", "maintaining"], "sorted_words": ["wrought", "maintaining", "gutenberg", "copies", "able"], "transformed_words": ["copies", "wrought", "able", "gutenberg", "maintaining"], "direction": "descending", "num_w... |
46 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in ascending order (using ASCII/Unicode ordering) and return them as a comma-separated list: find, based, mere, PLEASE
| PLEASE, based, find, mere | PLEASE,based,find,mere | C | **Step-by-step reasoning:**
1. **Identify the words to sort:** The input words are `find`, `based`, `mere`, `PLEASE`.
2. **Determine ASCII/Unicode ordering rules:** In ASCII/Unicode, uppercase letters (A–Z) have values 65–90, while lowercase letters (a–z) have values 97–122. Therefore, any word starting with an upperc... | nvidia/nemotron-3.5-lightning:free | 51.916 | null | {"source_dataset": "word_sorting", "source_index": 45, "original_words": ["find", "based", "mere", "PLEASE"], "sorted_words": ["PLEASE", "based", "find", "mere"], "transformed_words": ["find", "based", "mere", "PLEASE"], "direction": "ascending", "num_words": 4, "word_length": 6, "difficulty": {"num_words": [3, 10], "w... |
47 | letter_counting | How many times does the letter "t" appear in the text: "the reporters of this straightway You"? | 5 | The letter **"t"** appears **5 times** in the text `"the reporters of this straightway You"`. Here's the breakdown:
- `the` → 1st `t`
- `reporters` → 1 `t` (after the `o`)
- `this` → 1 `t` (at the start)
- `straightway` → 2 `t`s (after `s`, and before `w`)
- `You` → 0
Total: **1 + 1 + 1 + 2 = 5**
Since all instances... | C | **Step-by-step reasoning:**
1. **Identify the text and task:** The text is `"the reporters of this straightway You"`, and the task is to count occurrences of the letter `"t"`.
2. **Count the letter "t" in the text:**
- `"the"` → contains `t` at the start → **1**
- `"reporters"` → contains `t` after the `o` ... | nvidia/nemotron-3.5-lightning:free | 37.379 | null | {"source_dataset": "letter_counting", "source_index": 46, "span_length": 6, "target_letter": "t", "span": ["the", "reporters", "of", "this", "straightway", "You"], "difficulty": {"words": [5, 15]}} |
48 | spell_backward | Spell this word backward (example: sun -> nus): soldier | reidlos | riedlos | I | The task requires spelling the word "soldier" backward. The example given, "sun → nus," confirms that backward means reversing the letter order.
The word "soldier" consists of the letters s, o, l, d, i, e, r. Reversing this sequence yields r, e, i, d, l, o, s, which spells "reidlos".
The submitted answer is "riedlos,... | nvidia/nemotron-3.5-lightning:free | 35.426 | null | {"source_dataset": "spell_backward", "source_index": 47, "word": "soldier", "word_len": 7, "difficulty": {"word_len": [3, 10]}} |
49 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in ascending order (using ASCII/Unicode ordering) and return them as a comma-separated list: usually, format, Who, waiting,... | Ocean, Simply, Who, capital, format, marked, stone, usually, waiting | Ocean, Simply, Who, capital, format, marked, stone, usually, waiting | C | The task requires sorting the given words in ascending order using ASCII/Unicode ordering. The provided list of words to sort is: usually, format, Who, waiting, stone, capital, Simply, marked, Ocean. The submission offers the sorted list: Ocean, Simply, Who, capital, format, marked, stone, usually, waiting. The criteri... | nvidia/nemotron-3.5-lightning:free | 145.325 | null | {"source_dataset": "word_sorting", "source_index": 48, "original_words": ["usually", "format", "Who", "waiting", "stone", "capital", "Simply", "marked", "Ocean"], "sorted_words": ["Ocean", "Simply", "Who", "capital", "format", "marked", "stone", "usually", "waiting"], "transformed_words": ["usually", "format", "Who", "... |
50 | spell_backward | Spell this word backward (example: sun -> nus): rascalize | ezilacsar | ezilacsar | C | The task is to spell the word "rascalize" backward. The word "rascalize" consists of the letters: r, a, s, c, a, l, i, z, e. Reversing them from last to first gives: e, z, i, l, a, c, s, a, r, which spells "ezilacsar".
The submitted answer is "ezilacsar", which exactly matches the correct reversal. The criterion provi... | nvidia/nemotron-3.5-lightning:free | 39.414 | null | {"source_dataset": "spell_backward", "source_index": 49, "word": "rascalize", "word_len": 9, "difficulty": {"word_len": [3, 10]}} |
51 | letter_counting | How many times does the letter "f" appear in the text: "by U S federal laws and your state s laws The Foundation s"? | 2 | The letter **"f"** appears **2 times** in the text:
- **1** lowercase `f` in the word `federal`
- **1** uppercase `F` in the word `Foundation`
No other instances of "f" appear in the remaining words (`by`, `U`, `S`, `laws`, `and`, `your`, `state`, `s`, `The`, `s`).
**Total: 2** | C | The task asks to count the occurrences of the letter "f" (case-sensitive) in the given text: "by U S federal laws and your state s laws The Foundation s".
Breaking down the text word by word:
- "by" contains no "f".
- "U" contains no "f".
- "S" contains no "f".
- "federal" starts with a lowercase 'f', giving one occ... | nvidia/nemotron-3.5-lightning:free | 31.991 | null | {"source_dataset": "letter_counting", "source_index": 50, "span_length": 13, "target_letter": "f", "span": ["by", "U", "S", "federal", "laws", "and", "your", "state", "s", "laws", "The", "Foundation", "s"], "difficulty": {"words": [5, 15]}} |
54 | group_anagrams | An anagram is a word formed by rearranging the letters of a different word, using all the original letters exactly once.
Your job is to group the anagrams together. You can return the answer in any order.
The output is a list of lists of strings, where each outer list contains a group of anagrams, e.g. [["eat", "tea"... | [["alchitran", "clathrina"], ["depit", "tepid"], ["farcilite", "laticifer", "telfairic"], ["headmen", "needham"], ["unmantle", "unmental"]] | ["unmantle", "unmental"], ["headmen", "needham"], ["depit", "tepid"], ["farcilite", "telfairic", "laticifer"], ["alchitran", "clathrina"] | C | The task requires grouping the given list of words into sets of anagrams. An anagram is a word formed by rearranging all the letters of another word exactly once. The submitted answer groups the words into five groups, and the criterion also provides a set of five groups that are expected to be correct. We need to dete... | nvidia/nemotron-3.5-lightning:free | 83.833 | null | {"source_dataset": "group_anagrams", "source_index": 53, "words": ["unmantle", "unmental", "headmen", "needham", "depit", "tepid", "farcilite", "telfairic", "laticifer", "alchitran", "clathrina"], "solution": [["alchitran", "clathrina"], ["depit", "tepid"], ["farcilite", "laticifer", "telfairic"], ["headmen", "needham"... |
55 | letter_counting | How many times does the letter "g" appear in the text: "Project Gutenberg electronic works in your possession If you paid a"? | 2 | The text contains **2** occurrences of the letter "g":
- **"G**utenberg"** — the capital `G` at the start and the lowercase `g` at the end
- No other "g" or "G" appears in the rest of the sentence (`electronic works in your possession If you paid a`).
If you only count lowercase `g`, there is 1; if case-insensitive, ... | C | The task asks: "How many times does the letter 'g' appear in the text: 'Project Gutenberg electronic works in your possession If you paid a'?" The submission counts two occurrences: the capital 'G' at the start of "Gutenberg" and the lowercase 'g' at the end of "Gutenberg," noting that if only lowercase 'g' is counted,... | nvidia/nemotron-3.5-lightning:free | 58.681 | null | {"source_dataset": "letter_counting", "source_index": 54, "span_length": 11, "target_letter": "g", "span": ["Project", "Gutenberg", "electronic", "works", "in", "your", "possession", "If", "you", "paid", "a"], "difficulty": {"words": [5, 15]}} |
56 | word_sorting | Your task is to sort words in ascending or descending order using ASCII/Unicode ordering.
Your output should be a comma-separated list of words, e.g. word_1, word_2, word_3
Now, sort these words in ascending order (using ASCII/Unicode ordering) and return them as a comma-separated list: paperwork, dear, compressed, e... | Toward, asphyxiating, compressed, dear, efforts, explained, facing, paperwork, passably | Toward,asphyxiating,compressed,dear,efforts,explained,facing,paperwork,passably | I | The task requires sorting the given words in ascending ASCII/Unicode order. In ASCII/Unicode, uppercase letters have lower code points than lowercase letters, so 'T' (84) comes before any lowercase letter. The words to sort are: paperwork, dear, compressed, efforts, explained, asphyxiating, Toward, facing, passably.
-... | nvidia/nemotron-3.5-lightning:free | 174.91 | null | {"source_dataset": "word_sorting", "source_index": 55, "original_words": ["paperwork", "dear", "compressed", "efforts", "explained", "asphyxiating", "Toward", "facing", "passably"], "sorted_words": ["Toward", "asphyxiating", "compressed", "dear", "efforts", "explained", "facing", "paperwork", "passably"], "transformed_... |
57 | letter_counting | How many times does the letter "v" appear in the text: "Besides my government as you must know will firmly oppose every movement not only"? | 3 | The letter "v" appears **3 times** in the text. They are found in:
- `government` (g-o-**v**-e-r-n-m-e-n-t)
- `every` (e-**v**-e-r-y)
- `movement` (m-o-**v**-e-m-e-n-t)
No uppercase "V"s are present, so the total (case-insensitive) is 3. | C | **Step-by-step reasoning:**
1. **Identify the task and text:** The task is to count how many times the letter "v" appears in the text: `"Besides my government as you must know will firmly oppose every movement not only"`. The criterion states the expected answer is `3`.
2. **Examine the submitted answer:** The submis... | nvidia/nemotron-3.5-lightning:free | 42.729 | null | {"source_dataset": "letter_counting", "source_index": 56, "span_length": 14, "target_letter": "v", "span": ["Besides", "my", "government", "as", "you", "must", "know", "will", "firmly", "oppose", "every", "movement", "not", "only"], "difficulty": {"words": [5, 15]}} |
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