Validate a dataset
curl --request POST \
--url https://api.aireserve.com/v1/training/datasets/{datasetId}/validate \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"trainingFile": "<string>",
"validationFile": "<string>"
}
'import requests
url = "https://api.aireserve.com/v1/training/datasets/{datasetId}/validate"
payload = {
"trainingFile": "<string>",
"validationFile": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({trainingFile: '<string>', validationFile: '<string>'})
};
fetch('https://api.aireserve.com/v1/training/datasets/{datasetId}/validate', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"prefix": "<string>",
"s3Uri": "<string>",
"state": "uploading",
"trainingKey": "<string>",
"trainingBytes": 123,
"validationKey": "<string>",
"validation": {
"examples": 123,
"tokens": 123,
"maxTokensPerExample": 123,
"meanTokensPerExample": 123,
"problems": [
{
"line": 123,
"reason": "<string>"
}
],
"format": "chat-jsonl",
"validatedAt": "<string>"
},
"error": "<string>",
"createdAt": "<string>",
"updatedAt": "<string>"
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}Fine-tuning
Validate a dataset
Pins the training file’s S3 version and validates it: one {"messages":[…]} example per line, user and assistant turns, the last turn by the assistant. Produces the token count the quote prices from. Requires compute manage access.
POST
/
v1
/
training
/
datasets
/
{datasetId}
/
validate
Validate a dataset
curl --request POST \
--url https://api.aireserve.com/v1/training/datasets/{datasetId}/validate \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"trainingFile": "<string>",
"validationFile": "<string>"
}
'import requests
url = "https://api.aireserve.com/v1/training/datasets/{datasetId}/validate"
payload = {
"trainingFile": "<string>",
"validationFile": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({trainingFile: '<string>', validationFile: '<string>'})
};
fetch('https://api.aireserve.com/v1/training/datasets/{datasetId}/validate', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"prefix": "<string>",
"s3Uri": "<string>",
"state": "uploading",
"trainingKey": "<string>",
"trainingBytes": 123,
"validationKey": "<string>",
"validation": {
"examples": 123,
"tokens": 123,
"maxTokensPerExample": 123,
"meanTokensPerExample": 123,
"problems": [
{
"line": 123,
"reason": "<string>"
}
],
"format": "chat-jsonl",
"validatedAt": "<string>"
},
"error": "<string>",
"createdAt": "<string>",
"updatedAt": "<string>"
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"param": null,
"code": "<string>",
"details": {}
}
}Authorizations
bearerAuthapiKeyAuth
Your AI Reserve API key (aireserve_api_…) from the API Keys page in the portal (https://portal.aireserve.com/keys).
Path Parameters
Body
application/json
Response
OK
Pattern:
^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$Where to put files: s3://<bucket>/datasets/<name>/.
Available options:
uploading, validating, ready, invalid Show child attributes
Show child attributes