data_source stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_professional_medicine__c4c16f2f__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 840.0115179912483, \"nll_base\": 6.733415603637695, \"eval_ref\": \"mmlusr_question_and_answer_professional_medici... | {
"index": "mmlusr_question_and_answer_professional_medicine__c4c16f2f__s000__tb262144__v000",
"uid": "mmlusr_question_and_answer_professional_medicine__c4c16f2f__s000__tb262144__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_professional_psychology__bbc1cebb__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 435.90175998281, \"nll_base\": 6.077416896820068, \"eval_ref\": \"mmlusr_question_and_answer_professional_psycho... | {
"index": "mmlusr_question_and_answer_professional_psychology__bbc1cebb__s000__tb262144__v000",
"uid": "mmlusr_question_and_answer_professional_psychology__bbc1cebb__s000__tb262144__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_professional_psychology__bbc1cebb__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 435.90175998281, \"nll_base\": 6.077416896820068, \"eval_ref\": \"mmlusr_question_and_answer_professional_psycholo... | {
"index": "mmlusr_question_and_answer_professional_psychology__bbc1cebb__s000__tb65536__v001",
"uid": "mmlusr_question_and_answer_professional_psychology__bbc1cebb__s000__tb65536__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_public_relations__0d5f6563__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 889.0750359190179, \"nll_base\": 6.790181636810303, \"eval_ref\": \"mmlusr_question_and_answer_public_relations__0d5f6563... | {
"index": "mmlusr_question_and_answer_public_relations__0d5f6563__s000__tb65536__v000",
"uid": "mmlusr_question_and_answer_public_relations__0d5f6563__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_security_studies__2606c39d__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 698.4468746120743, \"nll_base\": 6.548859119415283, \"eval_ref\": \"mmlusr_question_and_answer_security_studies__2606c3... | {
"index": "mmlusr_question_and_answer_security_studies__2606c39d__s000__tb131072__v001",
"uid": "mmlusr_question_and_answer_security_studies__2606c39d__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_security_studies__2606c39d__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 698.4468746120743, \"nll_base\": 6.548859119415283, \"eval_ref\": \"mmlusr_question_and_answer_security_studies__2606c39d... | {
"index": "mmlusr_question_and_answer_security_studies__2606c39d__s000__tb65536__v000",
"uid": "mmlusr_question_and_answer_security_studies__2606c39d__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_sociology__39c35e58__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 664.5945912167971, \"nll_base\": 6.4991772174835205, \"eval_ref\": \"mmlusr_question_and_answer_sociology__39c35e58__s000__tb1... | {
"index": "mmlusr_question_and_answer_sociology__39c35e58__s000__tb131072__v000",
"uid": "mmlusr_question_and_answer_sociology__39c35e58__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_sociology__39c35e58__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 664.5945912167971, \"nll_base\": 6.4991772174835205, \"eval_ref\": \"mmlusr_question_and_answer_sociology__39c35e58__s000__tb2... | {
"index": "mmlusr_question_and_answer_sociology__39c35e58__s000__tb262144__v001",
"uid": "mmlusr_question_and_answer_sociology__39c35e58__s000__tb262144__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_virology__88a83282__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 732.3217865511282, \"nll_base\": 6.596220016479492, \"eval_ref\": \"mmlusr_question_and_answer_virology__88a83282__s000__tb1310... | {
"index": "mmlusr_question_and_answer_virology__88a83282__s000__tb131072__v001",
"uid": "mmlusr_question_and_answer_virology__88a83282__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_virology__88a83282__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 732.3217865511282, \"nll_base\": 6.596220016479492, \"eval_ref\": \"mmlusr_question_and_answer_virology__88a83282__s000__tb65536_... | {
"index": "mmlusr_question_and_answer_virology__88a83282__s000__tb65536__v000",
"uid": "mmlusr_question_and_answer_virology__88a83282__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_world_religions__7c72f1ed__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1601.9601612749032, \"nll_base\": 7.37898325920105, \"eval_ref\": \"mmlusr_question_and_answer_world_religions__7c72f1ed... | {
"index": "mmlusr_question_and_answer_world_religions__7c72f1ed__s000__tb131072__v000",
"uid": "mmlusr_question_and_answer_world_religions__7c72f1ed__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_and_answer_world_religions__7c72f1ed__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1601.9601612749032, \"nll_base\": 7.37898325920105, \"eval_ref\": \"mmlusr_question_and_answer_world_religions__7c72f1ed... | {
"index": "mmlusr_question_and_answer_world_religions__7c72f1ed__s000__tb262144__v001",
"uid": "mmlusr_question_and_answer_world_religions__7c72f1ed__s000__tb262144__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_anatomy__16a98853__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 979.2618730035028, \"nll_base\": 6.886799097061157, \"eval_ref\": \"mmlusr_question_only_anatomy__16a98853__s000__tb131072__v000\", \"... | {
"index": "mmlusr_question_only_anatomy__16a98853__s000__tb131072__v000",
"uid": "mmlusr_question_only_anatomy__16a98853__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_astronomy__1f55b766__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1920.4986908070414, \"nll_base\": 7.560340166091919, \"eval_ref\": \"mmlusr_question_only_astronomy__1f55b766__s000__tb262144__v000\... | {
"index": "mmlusr_question_only_astronomy__1f55b766__s000__tb262144__v000",
"uid": "mmlusr_question_only_astronomy__1f55b766__s000__tb262144__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_astronomy__1f55b766__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1920.4986908070414, \"nll_base\": 7.560340166091919, \"eval_ref\": \"mmlusr_question_only_astronomy__1f55b766__s000__tb65536__v001\", ... | {
"index": "mmlusr_question_only_astronomy__1f55b766__s000__tb65536__v001",
"uid": "mmlusr_question_only_astronomy__1f55b766__s000__tb65536__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_business_ethics__3be6b044__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1134.8940814529562, \"nll_base\": 7.034294605255127, \"eval_ref\": \"mmlusr_question_only_business_ethics__3be6b044__s000__tb1... | {
"index": "mmlusr_question_only_business_ethics__3be6b044__s000__tb131072__v001",
"uid": "mmlusr_question_only_business_ethics__3be6b044__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_business_ethics__3be6b044__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1134.8940814529562, \"nll_base\": 7.034294605255127, \"eval_ref\": \"mmlusr_question_only_business_ethics__3be6b044__s000__tb655... | {
"index": "mmlusr_question_only_business_ethics__3be6b044__s000__tb65536__v000",
"uid": "mmlusr_question_only_business_ethics__3be6b044__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_clinical_knowledge__30330417__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1233.5482259500518, \"nll_base\": 7.117650032043457, \"eval_ref\": \"mmlusr_question_only_clinical_knowledge__30330417__s00... | {
"index": "mmlusr_question_only_clinical_knowledge__30330417__s000__tb131072__v001",
"uid": "mmlusr_question_only_clinical_knowledge__30330417__s000__tb131072__v001",
"axis": "domain",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_clinical_knowledge__30330417__s000__tb262144__v002\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1233.5482259500518, \"nll_base\": 7.117650032043457, \"eval_ref\": \"mmlusr_question_only_clinical_knowledge__30330417__s00... | {
"index": "mmlusr_question_only_clinical_knowledge__30330417__s000__tb262144__v002",
"uid": "mmlusr_question_only_clinical_knowledge__30330417__s000__tb262144__v002",
"axis": "domain",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_clinical_knowledge__30330417__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1233.5482259500518, \"nll_base\": 7.117650032043457, \"eval_ref\": \"mmlusr_question_only_clinical_knowledge__30330417__s000_... | {
"index": "mmlusr_question_only_clinical_knowledge__30330417__s000__tb65536__v000",
"uid": "mmlusr_question_only_clinical_knowledge__30330417__s000__tb65536__v000",
"axis": "domain",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_clinical_knowledge__30330417__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 957.1690818109338, \"nll_base\": 6.863980054855347, \"eval_ref\": \"mmlusr_question_only_clinical_knowledge__30330417__s001__... | {
"index": "mmlusr_question_only_clinical_knowledge__30330417__s001__tb65536__v003",
"uid": "mmlusr_question_only_clinical_knowledge__30330417__s001__tb65536__v003",
"axis": "domain",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_college_biology__9502d37f__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 967.8168988888376, \"nll_base\": 6.875042915344238, \"eval_ref\": \"mmlusr_question_only_college_biology__9502d37f__s000__tb13... | {
"index": "mmlusr_question_only_college_biology__9502d37f__s000__tb131072__v001",
"uid": "mmlusr_question_only_college_biology__9502d37f__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_college_biology__9502d37f__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 967.8168988888376, \"nll_base\": 6.875042915344238, \"eval_ref\": \"mmlusr_question_only_college_biology__9502d37f__s000__tb6553... | {
"index": "mmlusr_question_only_college_biology__9502d37f__s000__tb65536__v000",
"uid": "mmlusr_question_only_college_biology__9502d37f__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_college_chemistry__2dd29337__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2029.7081961794227, \"nll_base\": 7.615647315979004, \"eval_ref\": \"mmlusr_question_only_college_chemistry__2dd29337__s000_... | {
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
"role": "system",
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
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datacuration | [
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datacuration | [
{
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_medical_genetics__7490dcf4__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 928.1056919038201, \"nll_base\": 6.833145618438721, \"eval_ref\": \"mmlusr_question_only_medical_genetics__7490dcf4__s000__tb65... | {
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"axis": "domain",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "domain",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_miscellaneous__11a91f57__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1748.2483607056838, \"nll_base\": 7.46636962890625, \"eval_ref\": \"mmlusr_question_only_miscellaneous__11a91f57__s000__tb131072... | {
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"axis": "knowledge",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_miscellaneous__11a91f57__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1748.2483607056838, \"nll_base\": 7.46636962890625, \"eval_ref\": \"mmlusr_question_only_miscellaneous__11a91f57__s000__tb262144... | {
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"axis": "knowledge",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_moral_disputes__2646a26a__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 954.8895035004849, \"nll_base\": 6.861595630645752, \"eval_ref\": \"mmlusr_question_only_moral_disputes__2646a26a__s000__tb2621... | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_moral_scenarios__c707f7e1__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2334.275132201741, \"nll_base\": 7.7554566860198975, \"eval_ref\": \"mmlusr_question_only_moral_scenarios__c707f7e1__s000__tb1... | {
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"axis": "knowledge",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_moral_scenarios__c707f7e1__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2334.275132201741, \"nll_base\": 7.7554566860198975, \"eval_ref\": \"mmlusr_question_only_moral_scenarios__c707f7e1__s000__tb2... | {
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"axis": "knowledge",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_nutrition__c98869bb__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1120.305374178168, \"nll_base\": 7.021356582641602, \"eval_ref\": \"mmlusr_question_only_nutrition__c98869bb__s000__tb262144__v000\"... | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_nutrition__c98869bb__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1120.305374178168, \"nll_base\": 7.021356582641602, \"eval_ref\": \"mmlusr_question_only_nutrition__c98869bb__s000__tb65536__v001\", \... | {
"index": "mmlusr_question_only_nutrition__c98869bb__s000__tb65536__v001",
"uid": "mmlusr_question_only_nutrition__c98869bb__s000__tb65536__v001",
"axis": "knowledge",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_philosophy__88a2bac7__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1463.8214448610156, \"nll_base\": 7.288805723190308, \"eval_ref\": \"mmlusr_question_only_philosophy__88a2bac7__s000__tb131072__v00... | {
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"uid": "mmlusr_question_only_philosophy__88a2bac7__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_philosophy__88a2bac7__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1463.8214448610156, \"nll_base\": 7.288805723190308, \"eval_ref\": \"mmlusr_question_only_philosophy__88a2bac7__s000__tb65536__v000\"... | {
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"uid": "mmlusr_question_only_philosophy__88a2bac7__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_prehistory__70a08f2f__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 707.3666892724424, \"nll_base\": 6.561549186706543, \"eval_ref\": \"mmlusr_question_only_prehistory__70a08f2f__s000__tb65536__v000\",... | {
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"uid": "mmlusr_question_only_prehistory__70a08f2f__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_professional_accounting__6b531f4c__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 962.1023483838236, \"nll_base\": 6.869120836257935, \"eval_ref\": \"mmlusr_question_only_professional_accounting__6b53... | {
"index": "mmlusr_question_only_professional_accounting__6b531f4c__s000__tb131072__v001",
"uid": "mmlusr_question_only_professional_accounting__6b531f4c__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_professional_accounting__6b531f4c__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 962.1023483838236, \"nll_base\": 6.869120836257935, \"eval_ref\": \"mmlusr_question_only_professional_accounting__6b531f... | {
"index": "mmlusr_question_only_professional_accounting__6b531f4c__s000__tb65536__v000",
"uid": "mmlusr_question_only_professional_accounting__6b531f4c__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_professional_medicine__dfd580c6__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1357.9769249947472, \"nll_base\": 7.213751316070557, \"eval_ref\": \"mmlusr_question_only_professional_medicine__dfd580c... | {
"index": "mmlusr_question_only_professional_medicine__dfd580c6__s000__tb131072__v000",
"uid": "mmlusr_question_only_professional_medicine__dfd580c6__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_professional_psychology__eab791b2__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 765.8676167736543, \"nll_base\": 6.641009330749512, \"eval_ref\": \"mmlusr_question_only_professional_psychology__eab7... | {
"index": "mmlusr_question_only_professional_psychology__eab791b2__s000__tb131072__v000",
"uid": "mmlusr_question_only_professional_psychology__eab791b2__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_public_relations__887cb989__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1730.0171528791766, \"nll_base\": 7.455886602401733, \"eval_ref\": \"mmlusr_question_only_public_relations__887cb989__s000__t... | {
"index": "mmlusr_question_only_public_relations__887cb989__s000__tb131072__v000",
"uid": "mmlusr_question_only_public_relations__887cb989__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_public_relations__887cb989__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1730.0171528791766, \"nll_base\": 7.455886602401733, \"eval_ref\": \"mmlusr_question_only_public_relations__887cb989__s000__t... | {
"index": "mmlusr_question_only_public_relations__887cb989__s000__tb262144__v001",
"uid": "mmlusr_question_only_public_relations__887cb989__s000__tb262144__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_security_studies__8e4e99c0__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1131.7243441833396, \"nll_base\": 7.0314977169036865, \"eval_ref\": \"mmlusr_question_only_security_studies__8e4e99c0__s000__... | {
"index": "mmlusr_question_only_security_studies__8e4e99c0__s000__tb131072__v000",
"uid": "mmlusr_question_only_security_studies__8e4e99c0__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_security_studies__8e4e99c0__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1131.7243441833396, \"nll_base\": 7.0314977169036865, \"eval_ref\": \"mmlusr_question_only_security_studies__8e4e99c0__s000__... | {
"index": "mmlusr_question_only_security_studies__8e4e99c0__s000__tb262144__v001",
"uid": "mmlusr_question_only_security_studies__8e4e99c0__s000__tb262144__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_virology__4c8fa92b__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1123.1324664513925, \"nll_base\": 7.023876905441284, \"eval_ref\": \"mmlusr_question_only_virology__4c8fa92b__s000__tb131072__v001\",... | {
"index": "mmlusr_question_only_virology__4c8fa92b__s000__tb131072__v001",
"uid": "mmlusr_question_only_virology__4c8fa92b__s000__tb131072__v001",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_virology__4c8fa92b__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1123.1324664513925, \"nll_base\": 7.023876905441284, \"eval_ref\": \"mmlusr_question_only_virology__4c8fa92b__s000__tb65536__v000\", \"... | {
"index": "mmlusr_question_only_virology__4c8fa92b__s000__tb65536__v000",
"uid": "mmlusr_question_only_virology__4c8fa92b__s000__tb65536__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmlusr_question_only_world_religions__75de890c__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1660.158834203031, \"nll_base\": 7.414668560028076, \"eval_ref\": \"mmlusr_question_only_world_religions__75de890c__s000__tb26... | {
"index": "mmlusr_question_only_world_religions__75de890c__s000__tb262144__v000",
"uid": "mmlusr_question_only_world_religions__75de890c__s000__tb262144__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_ar_xy_clinical_knowledge__16bb946c__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 516.9446309383651, \"nll_base\": 6.247935771942139, \"eval_ref\": \"mmmlu_ar_xy_clinical_knowledge__16bb946c__s000__tb65536__v001\", \... | {
"index": "mmmlu_ar_xy_clinical_knowledge__16bb946c__s000__tb65536__v001",
"uid": "mmmlu_ar_xy_clinical_knowledge__16bb946c__s000__tb65536__v001",
"axis": "domain",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_ar_xy_medical_genetics__9ba14068__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 749.7226160444661, \"nll_base\": 6.61970329284668, \"eval_ref\": \"mmmlu_ar_xy_medical_genetics__9ba14068__s000__tb65536__v002\", \"orac... | {
"index": "mmmlu_ar_xy_medical_genetics__9ba14068__s000__tb65536__v002",
"uid": "mmmlu_ar_xy_medical_genetics__9ba14068__s000__tb65536__v002",
"axis": "domain",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_ar_xy_nutrition__f5803a3a__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 452.9223730604147, \"nll_base\": 6.115720748901367, \"eval_ref\": \"mmmlu_ar_xy_nutrition__f5803a3a__s000__tb65536__v000\", \"oracle_delta\": 0... | {
"index": "mmmlu_ar_xy_nutrition__f5803a3a__s000__tb65536__v000",
"uid": "mmmlu_ar_xy_nutrition__f5803a3a__s000__tb65536__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 613.2245687293237, \"nll_base\": 6.418731212615967, \"eval_ref\": \"mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb131072__v002\"... | {
"index": "mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb131072__v002",
"uid": "mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb131072__v002",
"axis": "domain",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 613.2245687293237, \"nll_base\": 6.418731212615967, \"eval_ref\": \"mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb65536__v001\", \... | {
"index": "mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb65536__v001",
"uid": "mmmlu_bn_bd_clinical_knowledge__52b42830__s000__tb65536__v001",
"axis": "domain",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_college_physics__a856c191__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1307.0220599578229, \"nll_base\": 7.175506591796875, \"eval_ref\": \"mmmlu_bn_bd_college_physics__a856c191__s000__tb65536__v000\", \"orac... | {
"index": "mmmlu_bn_bd_college_physics__a856c191__s000__tb65536__v000",
"uid": "mmmlu_bn_bd_college_physics__a856c191__s000__tb65536__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_electrical_engineering__3727e6a5__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 620.2288482714811, \"nll_base\": 6.430088520050049, \"eval_ref\": \"mmmlu_bn_bd_electrical_engineering__3727e6a5__s000__tb65536__v... | {
"index": "mmmlu_bn_bd_electrical_engineering__3727e6a5__s000__tb65536__v000",
"uid": "mmmlu_bn_bd_electrical_engineering__3727e6a5__s000__tb65536__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_elementary_mathematics__4f3a3116__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1119.7795745242813, \"nll_base\": 7.020887136459351, \"eval_ref\": \"mmmlu_bn_bd_elementary_mathematics__4f3a3116__s000__tb65536__... | {
"index": "mmmlu_bn_bd_elementary_mathematics__4f3a3116__s000__tb65536__v000",
"uid": "mmmlu_bn_bd_elementary_mathematics__4f3a3116__s000__tb65536__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_formal_logic__34b43964__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 427.72450528128354, \"nll_base\": 6.058479309082031, \"eval_ref\": \"mmmlu_bn_bd_formal_logic__34b43964__s000__tb65536__v000\", \"oracle_del... | {
"index": "mmmlu_bn_bd_formal_logic__34b43964__s000__tb65536__v000",
"uid": "mmmlu_bn_bd_formal_logic__34b43964__s000__tb65536__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_high_school_government_and_politics__fe476c43__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 581.211898699799, \"nll_base\": 6.365115404129028, \"eval_ref\": \"mmmlu_bn_bd_high_school_government_and_politics_... | {
"index": "mmmlu_bn_bd_high_school_government_and_politics__fe476c43__s000__tb131072__v000",
"uid": "mmmlu_bn_bd_high_school_government_and_politics__fe476c43__s000__tb131072__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_human_sexuality__15ab5900__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 813.8000964654364, \"nll_base\": 6.701714754104614, \"eval_ref\": \"mmmlu_bn_bd_human_sexuality__15ab5900__s000__tb131072__v000\", \"or... | {
"index": "mmmlu_bn_bd_human_sexuality__15ab5900__s000__tb131072__v000",
"uid": "mmmlu_bn_bd_human_sexuality__15ab5900__s000__tb131072__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_medical_genetics__9a5f0cd1__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 848.2664687914222, \"nll_base\": 6.743194818496704, \"eval_ref\": \"mmmlu_bn_bd_medical_genetics__9a5f0cd1__s000__tb131072__v000\", \"... | {
"index": "mmmlu_bn_bd_medical_genetics__9a5f0cd1__s000__tb131072__v000",
"uid": "mmmlu_bn_bd_medical_genetics__9a5f0cd1__s000__tb131072__v000",
"axis": "domain",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_medical_genetics__9a5f0cd1__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 791.9324887453324, \"nll_base\": 6.674476146697998, \"eval_ref\": \"mmmlu_bn_bd_medical_genetics__9a5f0cd1__s001__tb131072__v003\", \"... | {
"index": "mmmlu_bn_bd_medical_genetics__9a5f0cd1__s001__tb131072__v003",
"uid": "mmmlu_bn_bd_medical_genetics__9a5f0cd1__s001__tb131072__v003",
"axis": "domain",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_bn_bd_professional_accounting__3a0d8a9c__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 728.7998883947176, \"nll_base\": 6.591399192810059, \"eval_ref\": \"mmmlu_bn_bd_professional_accounting__3a0d8a9c__s000__tb65536_... | {
"index": "mmmlu_bn_bd_professional_accounting__3a0d8a9c__s000__tb65536__v000",
"uid": "mmmlu_bn_bd_professional_accounting__3a0d8a9c__s000__tb65536__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"mmmlu_de_de_abstract_algebra__cd2d98fc__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 898.8110513631686, \"nll_base\": 6.801072835922241, \"eval_ref\": \"mmmlu_de_de_abstract_algebra__cd2d98fc__s000__tb131072__v000\", \"... | {
"index": "mmmlu_de_de_abstract_algebra__cd2d98fc__s000__tb131072__v000",
"uid": "mmmlu_de_de_abstract_algebra__cd2d98fc__s000__tb131072__v000",
"axis": "multilingual",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
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