id stringlengths 53 53 | conversations listlengths 2 2 | tools stringclasses 1
value | task_id stringlengths 32 32 | harness stringclasses 1
value | model stringclasses 1
value | source stringclasses 1
value | completed bool 1
class | domain stringclasses 1
value | source_model stringclasses 1
value | input_tokens int64 9 980 | output_tokens int64 183 7.83k |
|---|---|---|---|---|---|---|---|---|---|---|---|
kimi-k2.5-reasoning__52936d921dea9274404d74f201c36b3d | [
{
"from": "human",
"value": "Write a python function that takes an encrypted message as input and writes it to a text file named \"mensaje_cifrado_grupo1.txt\". The function should open the file in write mode, save the message content, and then close the file properly. The function should not return any val... | [] | 52936d921dea9274404d74f201c36b3d | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 60 | 837 |
kimi-k2.5-reasoning__de6bfa209ce2f9ffab70e8eff1983bcd | [
{
"from": "human",
"value": "What quantum control strategies enable attosecond pulse shaping to steer electron wavepacket dispersion in solids, and how can time‑resolved photoelectron spectroscopy quantify the resulting sub‑femtosecond phase evolution?"
},
{
"from": "gpt",
"value": "<think>\nThe... | [] | de6bfa209ce2f9ffab70e8eff1983bcd | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 43 | 4,246 |
kimi-k2.5-reasoning__40362166c05236a251ef6ff0ed9d4dc1 | [
{
"from": "human",
"value": "Answer the following question: Q: Beaches and deserts collect large deposits of what? Read this paragraph and choose the correct option from the provided answers: Sediments are deposited in many different types of environments. Beaches and deserts collect large deposits of sa... | [] | 40362166c05236a251ef6ff0ed9d4dc1 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 129 | 183 |
kimi-k2.5-reasoning__12b05c66120c904976aa54b9f8c8f955 | [
{
"from": "human",
"value": "What's the difference between the divine and preference?"
},
{
"from": "gpt",
"value": "<think>\nThe user is asking about the difference between \"the divine\" and \"preference.\" This is a philosophical/theological question that requires careful unpacking of both co... | [] | 12b05c66120c904976aa54b9f8c8f955 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 9 | 719 |
kimi-k2.5-reasoning__3721103da07039a0e4b986743386a5d4 | [
{
"from": "human",
"value": "What microscopic mechanisms reconcile the emergence of correlated insulating phases with unconventional superconductivity in magic-angle twisted bilayer graphene, and how do strain-induced pseudo-magnetic fields modify the moiré band topology and pairing symmetry?"
},
{
... | [] | 3721103da07039a0e4b986743386a5d4 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 43 | 3,281 |
kimi-k2.5-reasoning__ca366e4eb62141ec0e797122b11b29e3 | [
{
"from": "human",
"value": "Create a python Django model for a custom user that extends the default AbstractUser, including fields for profile photo, country, creation date, and last updated timestamp. The model should define a custom upload path for user files and set up proper username and email as requi... | [] | ca366e4eb62141ec0e797122b11b29e3 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 69 | 2,451 |
kimi-k2.5-reasoning__8cd3026ed08c200b449c9c894cb12a68 | [
{
"from": "human",
"value": "Write a python3 script that upgrades all installed pip packages to their latest versions using the pip2 command. The script should first retrieve all installed distributions and then execute an upgrade command for each package individually."
},
{
"from": "gpt",
"valu... | [] | 8cd3026ed08c200b449c9c894cb12a68 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 40 | 2,978 |
kimi-k2.5-reasoning__9bcb17e8445682f36aa18a760dc6c3b1 | [
{
"from": "human",
"value": "Create a Python Django admin configuration file that registers the Task and TaskTracker models from the tracker_api app with the Django admin interface."
},
{
"from": "gpt",
"value": "<think>\nThe user wants a Django admin configuration file that registers two models... | [] | 9bcb17e8445682f36aa18a760dc6c3b1 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 26 | 1,222 |
kimi-k2.5-reasoning__640652474f3d096815a3cf3ff6f09a70 | [
{
"from": "human",
"value": "Below you are given code written in cpp that contains the function 'stuff', which manipulates a string, as well as an input to the function. Your job is to predict the output of 'stuff' given the provided input.\\n\\nHere is the code:\\n```cpp\\n#include <string>\\n#include <alg... | [] | 640652474f3d096815a3cf3ff6f09a70 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 980 | 5,241 |
kimi-k2.5-reasoning__db250c81c8285117817edeac2019bc2d | [
{
"from": "human",
"value": "Calculate $\\sqrt{\\sqrt[3]{0.000064}}$. Express your answer as a decimal to the nearest tenth."
},
{
"from": "gpt",
"value": "<think>\nWe need to calculate sqrt( cube_root(0.000064) ). Then express answer as decimal to nearest tenth.\n\nLet's parse: 0.000064. Note t... | [] | db250c81c8285117817edeac2019bc2d | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 25 | 1,267 |
kimi-k2.5-reasoning__96aa294e37f87530eb3cc94ffb1be58d | [
{
"from": "human",
"value": "Data: name = Cocum, eatType = pub, priceRange = more than £30, customer rating = 5 out of 5, familyFriendly = yes. Can you generate a sentence about this data?"
},
{
"from": "gpt",
"value": "<think>\nThe user wants me to generate a sentence based on the provided data... | [] | 96aa294e37f87530eb3cc94ffb1be58d | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 44 | 583 |
kimi-k2.5-reasoning__8916e17e0cdd11a804fbab2f8e49682a | [
{
"from": "human",
"value": "Which hybrid gradient‑based meta‑optimizer can simultaneously minimize circuit depth and parameter variance in VQE‑augmented QAOA for Max‑Cut on sparse graphs, while respecting hardware connectivity constraints and noise‑induced decoherence rates?"
},
{
"from": "gpt",
... | [] | 8916e17e0cdd11a804fbab2f8e49682a | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 48 | 3,506 |
kimi-k2.5-reasoning__7419a91b548204e3cafd3f7278798061 | [
{
"from": "human",
"value": "How does one construct a provably reversible programming language semantics that enforces Landauer's bound at the instruction level, and can abstract interpretation be employed to automatically verify energy‑preserving transformations?"
},
{
"from": "gpt",
"value": "... | [] | 7419a91b548204e3cafd3f7278798061 | noop | moonshotai/kimi-k2.6 | kimi-k2.5-reasoning | true | General-Distillation | KIMI-K2.5 | 37 | 5,327 |
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