id stringlengths 32 32 | conversations listlengths 2 2 | input stringlengths 1 15.5k | output stringlengths 58 22.9k | domain stringclasses 11
values | meta dict |
|---|---|---|---|---|---|
30bbd018fc660c2c1467917a437c4fb5 | [
{
"from": "human",
"value": "Considering hardware‑software co‑design for FPGA‑accelerated trace compilation, how can a JIT system dynamically schedule Selberg sieve kernels while performing graph‑coloring register allocation to minimize latency under a fixed on‑chip memory budget?"
},
{
"from": "gpt... | Considering hardware‑software co‑design for FPGA‑accelerated trace compilation, how can a JIT system dynamically schedule Selberg sieve kernels while performing graph‑coloring register allocation to minimize latency under a fixed on‑chip memory budget? | <think>
1. **Deconstruct the Prompt:**
* **Core Subject:** Hardware-software co-design for FPGA-accelerated trace compilation.
* **Specific Algorithm/Task:** Dynamically scheduling Selberg sieve kernels.
* **Specific Compiler Optimization:** Graph-coloring register allocation.
* **Objective:** ... | main | {
"input_tokens": 47,
"output_tokens": 3307,
"teacher_model": "GLM-5.1"
} |
cee9575e1e2bfebac108e8e16498c34a | [
{
"from": "human",
"value": "Mike is trying rock climbing but he is awful at it. There are n holds on the wall, i-th hold is at height ai off the ground. Besides, let the sequence ai increase, that is, ai < ai + 1 for all i from 1 to n - 1; we will call such sequence a track. Mike thinks that the track a1, ... | Mike is trying rock climbing but he is awful at it. There are n holds on the wall, i-th hold is at height ai off the ground. Besides, let the sequence ai increase, that is, ai < ai + 1 for all i from 1 to n - 1; we will call such sequence a track. Mike thinks that the track a1, ..., an has difficulty <image>. In other ... | <think>
We need to solve: Given increasing sequence a1...an, n>=3. We must remove exactly one hold, but cannot remove the first or last hold (they must stay). So we remove some index i from 2 to n-1. After removal, the new sequence has n-1 elements. The difficulty is the maximum difference between consecutive elements ... | main | {
"input_tokens": 551,
"output_tokens": 2344,
"teacher_model": "GLM-5.1"
} |
ecc60ee4f380988f423842d2ce90ccce | [
{
"from": "human",
"value": "Is 6867 a prime number? Prove your answer."
},
{
"from": "gpt",
"value": "<think>I need to determine whether 6867 is prime. Let me check for divisibility by small primes.\n\n**Test divisibility by 2:** 6867 is odd. Not divisible by 2.\n\n**Test divisibility by 3:** S... | Is 6867 a prime number? Prove your answer. | <think>I need to determine whether 6867 is prime. Let me check for divisibility by small primes.
**Test divisibility by 2:** 6867 is odd. Not divisible by 2.
**Test divisibility by 3:** Sum of digits: 6 + 8 + 6 + 7 = 27. Since 27 is divisible by 3, 6867 is divisible by 3.
6867 ÷ 3 = 2289
Let me verify: 3 × 2289 = 6... | general | {
"input_tokens": 14,
"output_tokens": 537,
"teacher_model": "Hunter-Alpha"
} |
f7d7dff161fb559be0d83718d0962e71 | [
{
"from": "human",
"value": "How can hard enforcement of boundary and conservation constraints be integrated into physics-informed neural networks using Lagrange multiplier or penalty formulations without degrading training stability, and what are the theoretical guarantees on solution fidelity?"
},
{
... | How can hard enforcement of boundary and conservation constraints be integrated into physics-informed neural networks using Lagrange multiplier or penalty formulations without degrading training stability, and what are the theoretical guarantees on solution fidelity? | <think>
1. **Deconstruct the Prompt:**
* **Core Topic:** Integrating hard enforcement of boundary conditions (BCs) and conservation constraints (CCs) into Physics-Informed Neural Networks (PINNs).
* **Methodologies specified:** Lagrange multipliers and penalty formulations.
* **Key Challenge:** Avoid... | main | {
"input_tokens": 40,
"output_tokens": 3690,
"teacher_model": "GLM-5.1"
} |
d5a37cb2e45e6b00d69f4597580d1f08 | [
{
"from": "human",
"value": "How can one design an ibverbs-based RDMA communication layer that simultaneously minimizes latency, ensures zero-copy transfers across heterogeneous InfiniBand and RoCE NICs, and dynamically adapts queue pair resources under varying congestion and memory registration constraints... | How can one design an ibverbs-based RDMA communication layer that simultaneously minimizes latency, ensures zero-copy transfers across heterogeneous InfiniBand and RoCE NICs, and dynamically adapts queue pair resources under varying congestion and memory registration constraints? | <think>
1. **Deconstruct the Prompt:**
* **Core Task:** Design an RDMA communication layer based on `ibverbs`.
* **Goal 1:** Minimize latency.
* **Goal 2:** Ensure zero-copy transfers.
* **Goal 3:** Support heterogeneous InfiniBand and RoCE NICs.
* **Goal 4:** Dynamically adapt Queue Pair... | main | {
"input_tokens": 49,
"output_tokens": 3286,
"teacher_model": "GLM-5.1"
} |
a4ba5dbdbdec19026b38e5c32a941bf3 | [
{
"from": "human",
"value": "Given the text: Editor’s note: I am reading through this poem again tonight after publishing several hours ago and feel I should explain where I am coming from. Some days living with a chronic health condition can be extremely difficult and challenging beyond belief (as you know... | Given the text: Editor’s note: I am reading through this poem again tonight after publishing several hours ago and feel I should explain where I am coming from. Some days living with a chronic health condition can be extremely difficult and challenging beyond belief (as you know!). I believe it is important to feel the... | <think>
1. **Analyze the Request:**
* Source text provided: An editor's note from an author about a poem they wrote regarding living with a chronic health condition (diabetes/high blood sugar), emotional release, and a birthday shoutout.
* Task 1: Provide a link to the author's published poems.
* Tas... | main | {
"input_tokens": 321,
"output_tokens": 1116,
"teacher_model": "GLM-5.1"
} |
0ed202d43dec6a91812c78601de986bf | [
{
"from": "human",
"value": "Explain how to integrate DPDK poll‑mode drivers with Linux io_uring submission queues to achieve zero‑copy packet processing, detailing synchronization, memory registration, and latency trade‑offs in a multi‑queue NIC environment?"
},
{
"from": "gpt",
"value": "<thin... | Explain how to integrate DPDK poll‑mode drivers with Linux io_uring submission queues to achieve zero‑copy packet processing, detailing synchronization, memory registration, and latency trade‑offs in a multi‑queue NIC environment? | <think>
1. **Deconstruct the Prompt:**
* **Core Task:** Explain how to integrate DPDK PMDs (Poll-Mode Drivers) with Linux `io_uring` submission queues.
* **Goal:** Achieve zero-copy packet processing.
* **Specific Details Required:** Synchronization, memory registration, latency trade-offs.
* *... | main | {
"input_tokens": 45,
"output_tokens": 3861,
"teacher_model": "GLM-5.1"
} |
11a5c9e62171906671d5fa72125f404d | [
{
"from": "human",
"value": "Refactor the following buggy code to correctly execute the task: Convert the following string to an array of characters in Java. Make sure your code handles all edge cases, including but not limited to null and empty strings. Write JUnit tests to validate your solution. Orig... | Refactor the following buggy code to correctly execute the task: Convert the following string to an array of characters in Java. Make sure your code handles all edge cases, including but not limited to null and empty strings. Write JUnit tests to validate your solution. Original Code: ```java public char[] stringT... | <think>
The user wants to refactor a buggy Java method `stringToArray(String str)` that converts a string to an array of characters.
The bug is that it throws a `NullPointerException` if the input string is null.
I need to handle the null input case, as well as other edge cases like empty strings.
I also need to write ... | main | {
"input_tokens": 94,
"output_tokens": 2453,
"teacher_model": "GLM-5.1"
} |
39c29ca2f711799c71e1686afd6798d3 | [
{
"from": "human",
"value": "What are the most important differences between human agency and algorithmic decision-making?"
},
{
"from": "gpt",
"value": "<think>Hmm, this is a layered philosophical question with practical implications. The user seems interested in comparative analysis rather tha... | What are the most important differences between human agency and algorithmic decision-making? | <think>Hmm, this is a layered philosophical question with practical implications. The user seems interested in comparative analysis rather than just definitions, so I should structure this as a contrastive exploration.
I notice the user didn't specify context - this could be academic curiosity, professional need, or g... | general | {
"input_tokens": 15,
"output_tokens": 799,
"teacher_model": "Hunter-Alpha"
} |
3e0ba9126e3e31818e6bc28916cec7bb | [{"from":"human","value":"Write PostgreSQL queries for an e-commerce database: find the top 20 custo(...TRUNCATED) | "Write PostgreSQL queries for an e-commerce database: find the top 20 customers by total spending in(...TRUNCATED) | "<think>\nThe user wants three PostgreSQL queries for an e-commerce database:\n\n1. Top 20 customers(...TRUNCATED) | General-Distillation | {
"input_tokens": 39,
"output_tokens": 2975,
"teacher_model": "KIMI-K2.5"
} |
End of preview. Expand in Data Studio
| domain | Mean_In | P95_In | Mean_Out | P95_Out | Total_Tokens |
|---|---|---|---|---|---|
| General-Distillation | 92.81 | 378 | 2032.89 | 3777 | 784362123 |
| General-Math | 51.65 | 72 | 3422 | 4007 | 5578684 |
| Math | 58.61 | 85 | 3323.74 | 3991 | 899705 |
| Multilingual-STEM | 64.01 | 89 | 3548.07 | 3974 | 159495080 |
| MultilingualSTEM | 76.5 | 119 | 3097.35 | 3917 | 147082677 |
| PHD-Science | 44.39 | 55 | 3082.65 | 3857 | 532525113 |
| code | 404.92 | 1209 | 2554.44 | 3721 | 3536439 |
| general | 62.62 | 294 | 1427.94 | 3496 | 301834703 |
| main | 96.01 | 390 | 2170.94 | 3776 | 832633275 |
| math | 76.88 | 147 | 3313.32 | 3979 | 2590112 |
| science | 171.11 | 559 | 2483.47 | 3778 | 60853717 |
💰 TOTAL TOKENS: 2,831,391,628
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