Datasets:

beyoru
/

ox-alpha-coding-reasoning-preview

id stringlengths 29 29	domain stringclasses 13 values	messages listlengths 1 1	reasoning stringlengths 504 110k	answer stringlengths 8 31.7k	messages_think listlengths 2 2	reasoning_chars int64 504 110k	completion_tokens int64 234 31.7k
seed_ba95c8acb88bc91a358d11c5	algorithmic_reasoning	[ { "role": "user", "content": "A boy Petya loves chess very much. He even came up with a chess piece of his own, a semiknight. The semiknight can move in any of these four directions: 2 squares forward and 2 squares to the right, 2 squares forward and 2 squares to the left, 2 squares backward and 2 to the ri...	The semiknight moves change both coordinates by ±2. So parity of row and column is invariant. Two semiknights can meet only if they have the same parity of (row, col). If parities match, can they always meet? The move graph on squares with same parity: moves are (±2,±2), which within the 4x4 grid of same-parity cells.....	Key insight: Every semiknight move changes both coordinates by exactly ±2. Therefore: - The parity of the row never changes. - The parity of the column never changes. So two semiknights can meet only if their starting squares have the same row parity and same column parity. Conversely, if the parities match: ...	[ { "role": "user", "content": "A boy Petya loves chess very much. He even came up with a chess piece of his own, a semiknight. The semiknight can move in any of these four directions: 2 squares forward and 2 squares to the right, 2 squares forward and 2 squares to the left, 2 squares backward and 2 to the ri...	877	3,701
seed_0961c1ab1e1aa1f704a03d68	general_implementation	[ { "role": "user", "content": "Compute the sum of each separate element in an array.\n\nExample:\n```\nInput: [1,2,3,4]\nOutput: 10\n```\n\n# Erroneous Code #\n```\ndef sum_array_elements(arr):\n result = 0\n for i in range(len(arr)):\n result += arr[i]\n if i == 2:\n break\n ...	The erroneous code breaks at i == 2, so for [1,2,3,4] it returns 1+2+3=6. The user says expected output is 6? Wait, the example says output 10, but "Expected Output: The expected output for the given test is 6." Hmm — the erroneous code returns 6 for [1,2,3,4]. Actually the correct sum should be 10; the bug causes 6. B...	# Identifying the Bug The problem with the code is this block: ```python if i == 2: break ``` This causes the loop to stop early after processing only the first three elements (`i = 0, 1, 2`). So for `[1, 2, 3, 4]`, it computes `1 + 2 + 3 = 6` instead of summing all elements. # Corrected Code Simply remove...	[ { "role": "user", "content": "Compute the sum of each separate element in an array.\n\nExample:\n```\nInput: [1,2,3,4]\nOutput: 10\n```\n\n# Erroneous Code #\n```\ndef sum_array_elements(arr):\n result = 0\n for i in range(len(arr)):\n result += arr[i]\n if i == 2:\n break\n ...	591	525
seed_ac37ccf0e226037799f2472a	algorithmic_reasoning	[ { "role": "user", "content": "Mishka got a six-faced dice. It has integer numbers from 2 to 7 written on its faces (all numbers on faces are different, so this is an almost usual dice).\n\nMishka wants to get exactly x points by rolling his dice. The number of points is just a sum of numbers written at the ...	Answer is floor(x/2) for x>=2? Check: x=2→1, 13→6... but example says 3. Hmm. Actually answer is ceil? 13→7? No. Example: 13→3, 37→8, 100→27. Known Codeforces problem 703C? Actually this is CF problem "Mishka and Interesting sum"? It's problem 703A? Let me think: answer is floor(x/2)? 13//2=6, no. ceil(13/2)=7, no. Kn...	## Solution With `k` rolls, the achievable sum `x` ranges from `2k` (all rolls show 2) to `7k` (all rolls show 7). Since any value in between is achievable, we just need `k` such that: 2k ≤ x ≤ 7k A simple choice is `k = ⌊x / 2⌋`: - `2k ≤ x` holds by definition of floor. - `7k ≥ 7·(x-1)/2 ≥ x` for all `x ≥ 2` (e...	[ { "role": "user", "content": "Mishka got a six-faced dice. It has integer numbers from 2 to 7 written on its faces (all numbers on faces are different, so this is an almost usual dice).\n\nMishka wants to get exactly x points by rolling his dice. The number of points is just a sum of numbers written at the ...	1,125	779
seed_5519513e952dc0f098804fc6	c_cpp_systems	[ { "role": "user", "content": "You are tasked with implementing a function to simulate event injection and handling in a graphics rendering system. The system consists of a session for rendering, a renderer, and a set of input events. The goal is to ensure that the system correctly handles injected events an...	The user wants an implementation of InjectFreshEvent and event handling simulation. Provide C++ code with a Session, Renderer, event queue, compositor ID handling. Events injected before renderer exists are dropped; after renderer attached and present, events... Actually in the snippet: inject before renderer → empty; ...	# Event Injection & Handling Simulation Below is a self-contained implementation that reproduces the behavior shown in the snippet: events injected with a fake (unregistered) compositor ID are silently discarded, so `received_input_events` remains empty even after the renderer is created and content is presented. ...	[ { "role": "user", "content": "You are tasked with implementing a function to simulate event injection and handling in a graphics rendering system. The system consists of a session for rendering, a renderer, and a set of input events. The goal is to ensure that the system correctly handles injected events an...	579	1,432
seed_483c1f2dfb9c5e787d984e04	repository_engineering	[ { "role": "user", "content": "You are reviewing a candidate patch for a real issue in the repository `swesmith/caolan__async.23dbf76a`.\n\nPrimary language: javascript\n\nIssue:\n<issue>\nqueue/priorityQueue: drain callback not called for empty push\nDescription\n\nAfter the recent change to the internal qu...	The patch changes `if (data.length === 0 && q.idle())` to `if (0 && q.idle())`. That disables the drain-on-empty-push entirely — it never calls drain for empty pushes. That's the opposite of the fix. The issue says drain should be called when empty push occurs. The patch would make the test "should call the drain callb...	# Code Review: Candidate Patch for Empty-Push Drain Regression ## Verdict: REJECT — the patch makes the bug worse, not better. --- ## 1. Intended behavior and likely root cause Intended behavior: `queue` and `priorityQueue` must invoke the `drain` callback when a push adds no work and the queue is otherwi...	[ { "role": "user", "content": "You are reviewing a candidate patch for a real issue in the repository `swesmith/caolan__async.23dbf76a`.\n\nPrimary language: javascript\n\nIssue:\n<issue>\nqueue/priorityQueue: drain callback not called for empty push\nDescription\n\nAfter the recent change to the internal qu...	7,892	4,194
seed_1a6af5fa939d86f5f35992b3	repository_engineering	[ { "role": "user", "content": "You are analyzing a real software-engineering issue from the repository `swesmith/fabricjs__fabric.js.6742471c`.\n\nPrimary language: typescript\n\nIssue:\n<issue>\nSVG/Text export: tspan x offset changed (clipPath/text positioning regression)\n\nDescribe the bug\nWhen exportin...	The user wants an analysis of a regression in fabric.js SVG export where tspan x offset changed. This is a known fabric.js issue: the change to StaticCanvas.ts around "filler/rect markup" — likely related to how clipPath SVG export computes offsets. Actually, in fabric.js history there was a change where `toSVG` of obj...	# Analysis: SVG Export Regression in `swesmith/fabricjs__fabric.js.6742471c` ## 0. Framing caveat I do not have access to the repository contents, so everything below is a hypothesis-driven analysis built from (a) the issue report, (b) knowledge of fabric.js architecture around v6/v7, and (c) the test signals you pro...	[ { "role": "user", "content": "You are analyzing a real software-engineering issue from the repository `swesmith/fabricjs__fabric.js.6742471c`.\n\nPrimary language: typescript\n\nIssue:\n<issue>\nSVG/Text export: tspan x offset changed (clipPath/text positioning regression)\n\nDescribe the bug\nWhen exportin...	8,762	4,828
seed_d7994b1ca13865bd81de185a	algorithmic_reasoning	[ { "role": "user", "content": "Use the given data to print out the average of the numbers. However, you are not allowed to use any arithmetic operations to calculate the average. Instead, you must come up with an alternative algorithm to compute the average. The given data is [1, 7, 8, 10]." } ]	Need to compute average without arithmetic operations. Options: use built-in functions like statistics.mean, or sum/len (but those are arithmetic-ish? sum is a function, len is a function — division / is arithmetic). Could use statistics.mean which internally does arithmetic but we don't write it. Or use bit manipulati...	# Computing an Average Without Arithmetic Operations Here are two approaches that avoid writing any arithmetic operators (`+`, `-`, ``, `/`): ## Solution 1: Use Built-in Library Functions ```python import statistics data = [1, 7, 8, 10] print(statistics.mean(data)) ``` Output:* `6.5` The arithmetic happens in...	[ { "role": "user", "content": "Use the given data to print out the average of the numbers. However, you are not allowed to use any arithmetic operations to calculate the average. Instead, you must come up with an alternative algorithm to compute the average. The given data is [1, 7, 8, 10]." }, { "ro...	1,692	1,149
seed_4ffb0141961bb7dfd0911f6f	general_implementation	[{"role":"user","content":"Create a python3 module that wraps C++ classes and functions for processi(...TRUNCATED)	"The user wants a Python module wrapping C++ classes for PAF (Part Affinity Fields) processing — t(...TRUNCATED)	"# PAF Processing Python Module\n\nBelow is a complete Python3 module (`pafprocess.py`) that wraps C(...TRUNCATED)	[{"role":"user","content":"Create a python3 module that wraps C++ classes and functions for processi(...TRUNCATED)	508	4,783
seed_ae669b0faebb89fe50af5892	repository_engineering	[{"role":"user","content":"You are reviewing a candidate patch for a real issue in the repository `s(...TRUNCATED)	"The candidate patch has two changes:\n\n1. `self._index: dict[str, DistPackage] = {p.key.upper(): p(...TRUNCATED)	"# Code Review: Candidate Patch for Case-Sensitive Package Lookup\n\n## 1. Intended behavior and lik(...TRUNCATED)	[{"role":"user","content":"You are reviewing a candidate patch for a real issue in the repository `s(...TRUNCATED)	19,811	6,624
seed_910588b0822e4365c73fe162	algorithmic_reasoning	[{"role":"user","content":"N players will participate in a tennis tournament. We will call them Play(...TRUNCATED)	"This is a classic problem (AtCoder ABC 139 E - League). Simulation: each day, greedily match player(...TRUNCATED)	"Approach\n\nSimulate the tournament day by day. For each player keep a pointer to their next re(...TRUNCATED)	[{"role":"user","content":"N players will participate in a tennis tournament. We will call them Play(...TRUNCATED)	7,372	3,218

End of preview. Expand in Data Studio

Ox Alpha Coding Reasoning (preview)

Raw chain-of-thought traces on coding prompts, generated with stealth/ox-alpha through OpenRouter and filtered down to the rows where the model actually thought.

This is a preview slice, not the finished dataset. Generation is still running.

Why this exists

stealth/ox-alpha returns its reasoning unsummarized. That is unusual — most hosted reasoning models either hide the CoT or replace it with a post-hoc summary. Four checks confirmed it is the real trace:

Hidden arithmetic. Asked for 83729 * 45193 * 7 with "reply with ONLY the number", the CoT contained every intermediate (83729*45 = 3,767,805, 997*355 = 353935) and a self-check line, while the answer was just the digits. None of those intermediates appear in the output, so they cannot have been reconstructed by a summarizer.
Execution tracing. Given a Python loop and asked for the final integer only, the CoT held all nine iterations plus a mid-sentence self-correction (... wait return a after loop ends).
Texture. Long traces carry dead ends, hedges, and recall attempts (Actually I recall: in fabric v6/v7, there was a commit ...), plus planning notes for the answer (Write the final solution rigorously with lemmas.).
Streaming. Reasoning arrives token-by-token, averaging 5.8 characters per delta, interleaved ahead of the content in the same stream.

Filtering

The teacher uses an adaptive thinking budget: on easy prompts it emits little or no reasoning at all. Roughly 68% of raw generations were therefore discarded.

stage	rows
generated	700
dropped, reasoning under 500 chars	389
dropped, no reasoning emitted	79
dropped, truncated before finishing	4
dropped, empty answer	2
kept	226

Kept rows also require finish_reason == "stop" and a non-empty answer.

Reasoning length among kept rows: min 504, median 2,869, mean 8,779, max 110,054 characters.

domain	rows
algorithmic_reasoning	81
repository_engineering	67
general_implementation	45
debugging	11
c_cpp_systems	7
sql_databases	3
refactoring_optimization	3
ml_data_engineering	2
backend_api	2
javascript_typescript_frontend	2
java_csharp_apps	1
testing	1
rust_go	1

Domain predicts trace length sharply, which makes it a cheap pre-filter: skipping the low-CoT domains avoids spending generations on prompts the teacher answers without thinking. repository_engineering (regressions in real repositories) is an order of magnitude above everything else. Medians over all 700 raw generations, before filtering:

domain	raw rows	median reasoning chars
repository_engineering	72	7,892
c_cpp_systems	15	442
algorithmic_reasoning	197	378
testing	8	228
refactoring_optimization	18	202
backend_api	11	189
debugging	50	187
code_review_explanation	1	186
rust_go	8	182
sql_databases	11	168
javascript_typescript_frontend	10	151
shell_docker_cicd	2	122
ml_data_engineering	12	121
general_implementation	281	108
java_csharp_apps	4	102

Schema

field	description
`id`	seed id, inherited from the prompt source
`domain`	task domain label from the prompt source
`messages`	the prompt, OpenAI chat format
`reasoning`	raw CoT, exactly as returned
`answer`	final response
`messages_think`	`messages` plus an assistant turn with `<think>…</think>` inlined, ready for SFT
`reasoning_chars`	length of `reasoning`
`completion_tokens`	reported by the API

Generation config

setting	value
teacher	`stealth/ox-alpha` (OpenRouter)
reasoning effort	`high`
max tokens	32,768
temperature	provider default
concurrency	4

Prompt source

Prompts are the input field of trjxter/Kimi-K2.7-CodingTraces-9000x, reused here as seeds. Only the prompts were taken; every reasoning trace and answer in this dataset was generated fresh. Credit for the prompt collection belongs to that dataset's author.

Caveats

The teacher's identity beyond the ox-alpha label is undisclosed. It self-reports as "ox-alpha, developed by an undisclosed organization" and does not claim any other identity, including inside its own reasoning.
usage.completion_tokens_details.reasoning_tokens is reported as 0 by the API even when reasoning text is present, so token-level accounting of the CoT is not available.
No correctness verification has been run on the answers. Traces are unfiltered for factual accuracy — the only filter applied is reasoning length.
Preview size. Treat it as a sample of the generation distribution, not a training corpus.

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