dataset_name stringclasses 1 value | turn_prompt_hash stringclasses 5 values | model_name stringclasses 1 value | generation_settings dict | conversations listlengths 2 4 |
|---|---|---|---|---|
natong19/lmsys-chat-1m-filtered | 1-fc4b001707b8c8bab2df8d459361474b2c544a8beaf3a057e7bf832262288d98 | tngtech/deepseek-r1t2-chimera:free | {
"max_tokens": 8192,
"temperature": 0.7,
"top_k": 64,
"top_p": 0.95
} | [
{
"from": "human",
"value": "how can identity protection services help protect me against identity theft"
},
{
"from": "gpt",
"value": "<think>\nOkay, the user is asking how identity protection services can help against identity theft. Let me start by breaking down what identity theft is. It's w... |
natong19/lmsys-chat-1m-filtered | 1-5b665ff8f9a218f9bfe00e8d50b8fceca4a27b3662f053a70a6084df60a02d2b | tngtech/deepseek-r1t2-chimera:free | {
"max_tokens": 8192,
"temperature": 0.7,
"top_k": 64,
"top_p": 0.95
} | [
{
"from": "human",
"value": "The sum of the perimeters of three equal squares is 36 cm. Find the area and perimeter of\nof the rectangle that can be made of the squares."
},
{
"from": "gpt",
"value": "<think>\nOkay, let me see. The problem says that the sum of the perimeters of three equal squar... |
natong19/lmsys-chat-1m-filtered | 3-e8913c1028840839677bf746f567ca91d2d6f28da9c56a4a315f7e459661ac5b | tngtech/deepseek-r1t2-chimera:free | {
"max_tokens": 8192,
"temperature": 0.7,
"top_k": 64,
"top_p": 0.95
} | [
{
"from": "human",
"value": "The sum of the perimeters of three equal squares is 36 cm. Find the area and perimeter of\nof the rectangle that can be made of the squares."
},
{
"from": "gpt",
"value": "The perimeter of one square is 36 / 3 = 12 cm.\nThe side of one square is 12 / 4 = 3 cm.\nThe a... |
natong19/lmsys-chat-1m-filtered | 1-6c39410abc31d56295ccf3a4e6752273d12a7771a4e1c877b5d744cb8586992f | tngtech/deepseek-r1t2-chimera:free | {
"max_tokens": 8192,
"temperature": 0.7,
"top_k": 64,
"top_p": 0.95
} | [
{
"from": "human",
"value": "I have 1000 documents to download from a website. So as not to overload the servers 1) at what rate should I download? Just pick a good rate for the sake of the question then answer:2) how long will it take to download all the files?"
},
{
"from": "gpt",
"value": "<... |
natong19/lmsys-chat-1m-filtered | 1-b39bd2e88ab6719234d83afbeda8e1c36d6461aca374afba515b14e01019aaa7 | tngtech/deepseek-r1t2-chimera:free | {
"max_tokens": 8192,
"temperature": 0.7,
"top_k": 64,
"top_p": 0.95
} | [
{
"from": "human",
"value": "summarise below transcript \"Student: Chat for help with Field Experience - School of Nursing\nStudent: You are now chatting with . Please wait until you are connected to start the conversation.\nStudent: You are now connected\nStudent: good morning\nStudent: I am waiting for my... |
Model turns in natong19/lmsys-chat-1m-filtered regenerated using tngtech/DeepSeek-TNG-R1T2-Chimera.
You should mask everything except the last turn when training. All previous model turns are the original dataset.
It's setup to be trained like R1:
NousResearch/Minos-v1 was used to avoid refusals. Only checked against <|user|>\n{latest_user_turn}\n<|assistant|>\n{response_without_thinking}, regenerating if not at least 80% confident it's a non-refusal.
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