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\": \"cmmlu_clinical_knowledge__17df098b__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1433.9398656491855, \"nll_base\": 7.268181085586548, \"eval_ref\": \"cmmlu_clinical_knowledge__17df098b__s000__tb65536__v001\", \"oracle_del... | {
"index": "cmmlu_clinical_knowledge__17df098b__s000__tb65536__v001",
"uid": "cmmlu_clinical_knowledge__17df098b__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\": \"cmmlu_clinical_knowledge__17df098b__s001__tb262144__v003\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1324.965566235302, \"nll_base\": 7.189141750335693, \"eval_ref\": \"cmmlu_clinical_knowledge__17df098b__s001__tb262144__v003\", \"oracle_d... | {
"index": "cmmlu_clinical_knowledge__17df098b__s001__tb262144__v003",
"uid": "cmmlu_clinical_knowledge__17df098b__s001__tb262144__v003",
"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\": \"cmmlu_college_medical_statistics__46c631ef__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 638.2414314326013, \"nll_base\": 6.458716630935669, \"eval_ref\": \"cmmlu_college_medical_statistics__46c631ef__s000__tb65536__v001\... | {
"index": "cmmlu_college_medical_statistics__46c631ef__s000__tb65536__v001",
"uid": "cmmlu_college_medical_statistics__46c631ef__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\": \"cmmlu_legal_and_moral_basis__2a333bd6__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 791.1576084052584, \"nll_base\": 6.673497200012207, \"eval_ref\": \"cmmlu_legal_and_moral_basis__2a333bd6__s000__tb131072__v002\", \"or... | {
"index": "cmmlu_legal_and_moral_basis__2a333bd6__s000__tb131072__v002",
"uid": "cmmlu_legal_and_moral_basis__2a333bd6__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\": \"cmmlu_legal_and_moral_basis__2a333bd6__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 791.1576084052584, \"nll_base\": 6.673497200012207, \"eval_ref\": \"cmmlu_legal_and_moral_basis__2a333bd6__s000__tb65536__v001\", \"oracl... | {
"index": "cmmlu_legal_and_moral_basis__2a333bd6__s000__tb65536__v001",
"uid": "cmmlu_legal_and_moral_basis__2a333bd6__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\": \"cmmlu_logical__c84f4c26__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 642.101707242344, \"nll_base\": 6.464746713638306, \"eval_ref\": \"cmmlu_logical__c84f4c26__s000__tb65536__v000\", \"oracle_delta\": 0.0675411224365234... | {
"index": "cmmlu_logical__c84f4c26__s000__tb65536__v000",
"uid": "cmmlu_logical__c84f4c26__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\": \"cmmlu_public_relations__bc30cbda__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 731.3242833555861, \"nll_base\": 6.5948569774627686, \"eval_ref\": \"cmmlu_public_relations__bc30cbda__s000__tb131072__v000\", \"oracle_delt... | {
"index": "cmmlu_public_relations__bc30cbda__s000__tb131072__v000",
"uid": "cmmlu_public_relations__bc30cbda__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\": \"cnn_dailymail_abisee__3977ac28__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 11.992174679837076, \"nll_base\": 2.484254327058207, \"eval_ref\": \"cnn_dailymail_abisee__3977ac28__s000__tb131072__v001\", \"oracle_delta\":... | {
"index": "cnn_dailymail_abisee__3977ac28__s000__tb131072__v001",
"uid": "cnn_dailymail_abisee__3977ac28__s000__tb131072__v001",
"axis": "qa",
"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\": \"cnn_dailymail_abisee__3977ac28__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 12.038234419469344, \"nll_base\": 2.488087786226336, \"eval_ref\": \"cnn_dailymail_abisee__3977ac28__s001__tb65536__v003\", \"oracle_delta\": 0.... | {
"index": "cnn_dailymail_abisee__3977ac28__s001__tb65536__v003",
"uid": "cnn_dailymail_abisee__3977ac28__s001__tb65536__v003",
"axis": "qa",
"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\": \"cnn_dailymail_abisee__3977ac28__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 9.148722904934376, \"nll_base\": 2.2136142963149643, \"eval_ref\": \"cnn_dailymail_abisee__3977ac28__s002__tb65536__v006\", \"oracle_delta\": 0.... | {
"index": "cnn_dailymail_abisee__3977ac28__s002__tb65536__v006",
"uid": "cnn_dailymail_abisee__3977ac28__s002__tb65536__v006",
"axis": "qa",
"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\": \"code2text_go__c46e7124__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 43.153597348859144, \"nll_base\": 3.7647657825100804, \"eval_ref\": \"code2text_go__c46e7124__s000__tb131072__v001\", \"oracle_delta\": 0.044245172316... | {
"index": "code2text_go__c46e7124__s000__tb131072__v001",
"uid": "code2text_go__c46e7124__s000__tb131072__v001",
"axis": "code",
"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\": \"code2text_go__c46e7124__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 56.42759780268286, \"nll_base\": 4.0329583615672835, \"eval_ref\": \"code2text_go__c46e7124__s002__tb131072__v007\", \"oracle_delta\": 0.0721140751222... | {
"index": "code2text_go__c46e7124__s002__tb131072__v007",
"uid": "code2text_go__c46e7124__s002__tb131072__v007",
"axis": "code",
"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\": \"code2text_go__c46e7124__s003__tb131072__v010\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 51.05221283528452, \"nll_base\": 3.932848890101892, \"eval_ref\": \"code2text_go__c46e7124__s003__tb131072__v010\", \"oracle_delta\": 0.04047421562272... | {
"index": "code2text_go__c46e7124__s003__tb131072__v010",
"uid": "code2text_go__c46e7124__s003__tb131072__v010",
"axis": "code",
"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\": \"code2text_go__c46e7124__s006__tb131072__v019\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 46.95076298207147, \"nll_base\": 3.8490994564715657, \"eval_ref\": \"code2text_go__c46e7124__s006__tb131072__v019\", \"oracle_delta\": 0.0531966013605... | {
"index": "code2text_go__c46e7124__s006__tb131072__v019",
"uid": "code2text_go__c46e7124__s006__tb131072__v019",
"axis": "code",
"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\": \"code2text_go__c46e7124__s008__tb131072__v025\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 46.31971055112354, \"nll_base\": 3.8355675843489188, \"eval_ref\": \"code2text_go__c46e7124__s008__tb131072__v025\", \"oracle_delta\": 0.0988678765767... | {
"index": "code2text_go__c46e7124__s008__tb131072__v025",
"uid": "code2text_go__c46e7124__s008__tb131072__v025",
"axis": "code",
"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\": \"code2text_go__c46e7124__s008__tb262144__v026\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 46.31971055112354, \"nll_base\": 3.8355675843489188, \"eval_ref\": \"code2text_go__c46e7124__s008__tb262144__v026\", \"oracle_delta\": 0.1459164424080... | {
"index": "code2text_go__c46e7124__s008__tb262144__v026",
"uid": "code2text_go__c46e7124__s008__tb262144__v026",
"axis": "code",
"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\": \"code2text_go__c46e7124__s008__tb65536__v024\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 46.31971055112354, \"nll_base\": 3.8355675843489188, \"eval_ref\": \"code2text_go__c46e7124__s008__tb65536__v024\", \"oracle_delta\": 0.0493777192597684... | {
"index": "code2text_go__c46e7124__s008__tb65536__v024",
"uid": "code2text_go__c46e7124__s008__tb65536__v024",
"axis": "code",
"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\": \"code2text_go__c46e7124__s009__tb131072__v028\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 45.64972543762926, \"nll_base\": 3.820997592513126, \"eval_ref\": \"code2text_go__c46e7124__s009__tb131072__v028\", \"oracle_delta\": 0.05354291826534... | {
"index": "code2text_go__c46e7124__s009__tb131072__v028",
"uid": "code2text_go__c46e7124__s009__tb131072__v028",
"axis": "code",
"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\": \"code2text_go__c46e7124__s009__tb65536__v027\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 45.64972543762926, \"nll_base\": 3.820997592513126, \"eval_ref\": \"code2text_go__c46e7124__s009__tb65536__v027\", \"oracle_delta\": 0.02840116682653448... | {
"index": "code2text_go__c46e7124__s009__tb65536__v027",
"uid": "code2text_go__c46e7124__s009__tb65536__v027",
"axis": "code",
"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\": \"code2text_go__c46e7124__s010__tb131072__v031\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 42.697934552639936, \"nll_base\": 3.754150547932104, \"eval_ref\": \"code2text_go__c46e7124__s010__tb131072__v031\", \"oracle_delta\": 0.0305866359435... | {
"index": "code2text_go__c46e7124__s010__tb131072__v031",
"uid": "code2text_go__c46e7124__s010__tb131072__v031",
"axis": "code",
"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\": \"code2text_go__c46e7124__s011__tb131072__v034\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 34.773272846215164, \"nll_base\": 3.5488490700402147, \"eval_ref\": \"code2text_go__c46e7124__s011__tb131072__v034\", \"oracle_delta\": 0.057972107751... | {
"index": "code2text_go__c46e7124__s011__tb131072__v034",
"uid": "code2text_go__c46e7124__s011__tb131072__v034",
"axis": "code",
"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\": \"code2text_go__c46e7124__s011__tb262144__v035\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 34.773272846215164, \"nll_base\": 3.5488490700402147, \"eval_ref\": \"code2text_go__c46e7124__s011__tb262144__v035\", \"oracle_delta\": 0.127060550147... | {
"index": "code2text_go__c46e7124__s011__tb262144__v035",
"uid": "code2text_go__c46e7124__s011__tb262144__v035",
"axis": "code",
"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\": \"code2text_go__c46e7124__s013__tb131072__v040\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 35.62771679003924, \"nll_base\": 3.573123896454141, \"eval_ref\": \"code2text_go__c46e7124__s013__tb131072__v040\", \"oracle_delta\": 0.07048766900880... | {
"index": "code2text_go__c46e7124__s013__tb131072__v040",
"uid": "code2text_go__c46e7124__s013__tb131072__v040",
"axis": "code",
"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\": \"code2text_go__c46e7124__s013__tb262144__v041\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 35.62771679003924, \"nll_base\": 3.573123896454141, \"eval_ref\": \"code2text_go__c46e7124__s013__tb262144__v041\", \"oracle_delta\": 0.13650219802147... | {
"index": "code2text_go__c46e7124__s013__tb262144__v041",
"uid": "code2text_go__c46e7124__s013__tb262144__v041",
"axis": "code",
"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\": \"code2text_go__c46e7124__s013__tb65536__v039\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 35.62771679003924, \"nll_base\": 3.573123896454141, \"eval_ref\": \"code2text_go__c46e7124__s013__tb65536__v039\", \"oracle_delta\": 0.02738985705301866... | {
"index": "code2text_go__c46e7124__s013__tb65536__v039",
"uid": "code2text_go__c46e7124__s013__tb65536__v039",
"axis": "code",
"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\": \"code2text_go__c46e7124__s014__tb65536__v042\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 51.88317488592003, \"nll_base\": 3.948994554297466, \"eval_ref\": \"code2text_go__c46e7124__s014__tb65536__v042\", \"oracle_delta\": 0.0260973770210855,... | {
"index": "code2text_go__c46e7124__s014__tb65536__v042",
"uid": "code2text_go__c46e7124__s014__tb65536__v042",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 58.57845065722048, \"nll_base\": 4.070366892726514, \"eval_ref\": \"code2text_java__96cdbc82__s001__tb131072__v003\", \"oracle_delta\": 0.1271727011... | {
"index": "code2text_java__96cdbc82__s001__tb131072__v003",
"uid": "code2text_java__96cdbc82__s001__tb131072__v003",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 58.57845065722048, \"nll_base\": 4.070366892726514, \"eval_ref\": \"code2text_java__96cdbc82__s001__tb65536__v005\", \"oracle_delta\": 0.0645936186553... | {
"index": "code2text_java__96cdbc82__s001__tb65536__v005",
"uid": "code2text_java__96cdbc82__s001__tb65536__v005",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s002__tb131072__v006\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 71.87062422028164, \"nll_base\": 4.274867616850754, \"eval_ref\": \"code2text_java__96cdbc82__s002__tb131072__v006\", \"oracle_delta\": 0.1601146829... | {
"index": "code2text_java__96cdbc82__s002__tb131072__v006",
"uid": "code2text_java__96cdbc82__s002__tb131072__v006",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s002__tb262144__v007\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 71.87062422028164, \"nll_base\": 4.274867616850754, \"eval_ref\": \"code2text_java__96cdbc82__s002__tb262144__v007\", \"oracle_delta\": 0.2810066486... | {
"index": "code2text_java__96cdbc82__s002__tb262144__v007",
"uid": "code2text_java__96cdbc82__s002__tb262144__v007",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s002__tb65536__v008\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 71.87062422028164, \"nll_base\": 4.274867616850754, \"eval_ref\": \"code2text_java__96cdbc82__s002__tb65536__v008\", \"oracle_delta\": 0.0731982527108... | {
"index": "code2text_java__96cdbc82__s002__tb65536__v008",
"uid": "code2text_java__96cdbc82__s002__tb65536__v008",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s003__tb131072__v009\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 66.99544558951627, \"nll_base\": 4.204624640804598, \"eval_ref\": \"code2text_java__96cdbc82__s003__tb131072__v009\", \"oracle_delta\": 0.1004669540... | {
"index": "code2text_java__96cdbc82__s003__tb131072__v009",
"uid": "code2text_java__96cdbc82__s003__tb131072__v009",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s003__tb262144__v010\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 66.99544558951627, \"nll_base\": 4.204624640804598, \"eval_ref\": \"code2text_java__96cdbc82__s003__tb262144__v010\", \"oracle_delta\": 0.2817040454... | {
"index": "code2text_java__96cdbc82__s003__tb262144__v010",
"uid": "code2text_java__96cdbc82__s003__tb262144__v010",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s003__tb65536__v011\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 66.99544558951627, \"nll_base\": 4.204624640804598, \"eval_ref\": \"code2text_java__96cdbc82__s003__tb65536__v011\", \"oracle_delta\": 0.0323327777029... | {
"index": "code2text_java__96cdbc82__s003__tb65536__v011",
"uid": "code2text_java__96cdbc82__s003__tb65536__v011",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s004__tb131072__v012\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 61.20382212964876, \"nll_base\": 4.114209640667003, \"eval_ref\": \"code2text_java__96cdbc82__s004__tb131072__v012\", \"oracle_delta\": 0.1041867492... | {
"index": "code2text_java__96cdbc82__s004__tb131072__v012",
"uid": "code2text_java__96cdbc82__s004__tb131072__v012",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s004__tb65536__v014\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 61.20382212964876, \"nll_base\": 4.114209640667003, \"eval_ref\": \"code2text_java__96cdbc82__s004__tb65536__v014\", \"oracle_delta\": 0.0354948966733... | {
"index": "code2text_java__96cdbc82__s004__tb65536__v014",
"uid": "code2text_java__96cdbc82__s004__tb65536__v014",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s006__tb131072__v018\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 56.91845237380992, \"nll_base\": 4.041619583354644, \"eval_ref\": \"code2text_java__96cdbc82__s006__tb131072__v018\", \"oracle_delta\": 0.1462412333... | {
"index": "code2text_java__96cdbc82__s006__tb131072__v018",
"uid": "code2text_java__96cdbc82__s006__tb131072__v018",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s006__tb262144__v019\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 56.91845237380992, \"nll_base\": 4.041619583354644, \"eval_ref\": \"code2text_java__96cdbc82__s006__tb262144__v019\", \"oracle_delta\": 0.2262388438... | {
"index": "code2text_java__96cdbc82__s006__tb262144__v019",
"uid": "code2text_java__96cdbc82__s006__tb262144__v019",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s006__tb65536__v020\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 56.91845237380992, \"nll_base\": 4.041619583354644, \"eval_ref\": \"code2text_java__96cdbc82__s006__tb65536__v020\", \"oracle_delta\": 0.0457969453252... | {
"index": "code2text_java__96cdbc82__s006__tb65536__v020",
"uid": "code2text_java__96cdbc82__s006__tb65536__v020",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s007__tb131072__v021\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 86.17575284472969, \"nll_base\": 4.456388848596038, \"eval_ref\": \"code2text_java__96cdbc82__s007__tb131072__v021\", \"oracle_delta\": 0.1191180241... | {
"index": "code2text_java__96cdbc82__s007__tb131072__v021",
"uid": "code2text_java__96cdbc82__s007__tb131072__v021",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s007__tb262144__v022\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 86.17575284472969, \"nll_base\": 4.456388848596038, \"eval_ref\": \"code2text_java__96cdbc82__s007__tb262144__v022\", \"oracle_delta\": 0.2532120070... | {
"index": "code2text_java__96cdbc82__s007__tb262144__v022",
"uid": "code2text_java__96cdbc82__s007__tb262144__v022",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s007__tb65536__v023\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 86.17575284472969, \"nll_base\": 4.456388848596038, \"eval_ref\": \"code2text_java__96cdbc82__s007__tb65536__v023\", \"oracle_delta\": 0.0467402885149... | {
"index": "code2text_java__96cdbc82__s007__tb65536__v023",
"uid": "code2text_java__96cdbc82__s007__tb65536__v023",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s009__tb131072__v027\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 58.476289369935586, \"nll_base\": 4.068621362161915, \"eval_ref\": \"code2text_java__96cdbc82__s009__tb131072__v027\", \"oracle_delta\": 0.111458404... | {
"index": "code2text_java__96cdbc82__s009__tb131072__v027",
"uid": "code2text_java__96cdbc82__s009__tb131072__v027",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s009__tb262144__v028\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 58.476289369935586, \"nll_base\": 4.068621362161915, \"eval_ref\": \"code2text_java__96cdbc82__s009__tb262144__v028\", \"oracle_delta\": 0.247621651... | {
"index": "code2text_java__96cdbc82__s009__tb262144__v028",
"uid": "code2text_java__96cdbc82__s009__tb262144__v028",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s009__tb65536__v029\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 58.476289369935586, \"nll_base\": 4.068621362161915, \"eval_ref\": \"code2text_java__96cdbc82__s009__tb65536__v029\", \"oracle_delta\": 0.049688803986... | {
"index": "code2text_java__96cdbc82__s009__tb65536__v029",
"uid": "code2text_java__96cdbc82__s009__tb65536__v029",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s010__tb131072__v030\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 51.36442841910059, \"nll_base\": 3.938945878778036, \"eval_ref\": \"code2text_java__96cdbc82__s010__tb131072__v030\", \"oracle_delta\": 0.2182148405... | {
"index": "code2text_java__96cdbc82__s010__tb131072__v030",
"uid": "code2text_java__96cdbc82__s010__tb131072__v030",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s010__tb262144__v031\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 51.36442841910059, \"nll_base\": 3.938945878778036, \"eval_ref\": \"code2text_java__96cdbc82__s010__tb262144__v031\", \"oracle_delta\": 0.3434412182... | {
"index": "code2text_java__96cdbc82__s010__tb262144__v031",
"uid": "code2text_java__96cdbc82__s010__tb262144__v031",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s010__tb65536__v032\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 51.36442841910059, \"nll_base\": 3.938945878778036, \"eval_ref\": \"code2text_java__96cdbc82__s010__tb65536__v032\", \"oracle_delta\": 0.0990879718271... | {
"index": "code2text_java__96cdbc82__s010__tb65536__v032",
"uid": "code2text_java__96cdbc82__s010__tb65536__v032",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s012__tb131072__v036\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 70.49466406884821, \"nll_base\": 4.255537019987128, \"eval_ref\": \"code2text_java__96cdbc82__s012__tb131072__v036\", \"oracle_delta\": 0.1245062716... | {
"index": "code2text_java__96cdbc82__s012__tb131072__v036",
"uid": "code2text_java__96cdbc82__s012__tb131072__v036",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s012__tb262144__v037\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 70.49466406884821, \"nll_base\": 4.255537019987128, \"eval_ref\": \"code2text_java__96cdbc82__s012__tb262144__v037\", \"oracle_delta\": 0.3190204262... | {
"index": "code2text_java__96cdbc82__s012__tb262144__v037",
"uid": "code2text_java__96cdbc82__s012__tb262144__v037",
"axis": "code",
"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\": \"code2text_java__96cdbc82__s012__tb65536__v038\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 70.49466406884821, \"nll_base\": 4.255537019987128, \"eval_ref\": \"code2text_java__96cdbc82__s012__tb65536__v038\", \"oracle_delta\": 0.0657601432887... | {
"index": "code2text_java__96cdbc82__s012__tb65536__v038",
"uid": "code2text_java__96cdbc82__s012__tb65536__v038",
"axis": "code",
"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\": \"code2text_php__24bf8568__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 102.18045868941624, \"nll_base\": 4.626740452925814, \"eval_ref\": \"code2text_php__24bf8568__s000__tb131072__v001\", \"oracle_delta\": 0.11129510031... | {
"index": "code2text_php__24bf8568__s000__tb131072__v001",
"uid": "code2text_php__24bf8568__s000__tb131072__v001",
"axis": "code",
"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\": \"code2text_php__24bf8568__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 102.18045868941624, \"nll_base\": 4.626740452925814, \"eval_ref\": \"code2text_php__24bf8568__s000__tb65536__v000\", \"oracle_delta\": 0.04475260186127... | {
"index": "code2text_php__24bf8568__s000__tb65536__v000",
"uid": "code2text_php__24bf8568__s000__tb65536__v000",
"axis": "code",
"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\": \"code2text_php__24bf8568__s001__tb131072__v004\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 105.82581352537734, \"nll_base\": 4.66179447383671, \"eval_ref\": \"code2text_php__24bf8568__s001__tb131072__v004\", \"oracle_delta\": 0.118562803163... | {
"index": "code2text_php__24bf8568__s001__tb131072__v004",
"uid": "code2text_php__24bf8568__s001__tb131072__v004",
"axis": "code",
"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\": \"code2text_php__24bf8568__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 105.82581352537734, \"nll_base\": 4.66179447383671, \"eval_ref\": \"code2text_php__24bf8568__s001__tb65536__v003\", \"oracle_delta\": 0.064263312371222... | {
"index": "code2text_php__24bf8568__s001__tb65536__v003",
"uid": "code2text_php__24bf8568__s001__tb65536__v003",
"axis": "code",
"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\": \"code2text_php__24bf8568__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 55.90253854768801, \"nll_base\": 4.023609791432057, \"eval_ref\": \"code2text_php__24bf8568__s002__tb131072__v007\", \"oracle_delta\": 0.112472946579... | {
"index": "code2text_php__24bf8568__s002__tb131072__v007",
"uid": "code2text_php__24bf8568__s002__tb131072__v007",
"axis": "code",
"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\": \"code2text_php__24bf8568__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 55.90253854768801, \"nll_base\": 4.023609791432057, \"eval_ref\": \"code2text_php__24bf8568__s002__tb65536__v006\", \"oracle_delta\": 0.051893629469313... | {
"index": "code2text_php__24bf8568__s002__tb65536__v006",
"uid": "code2text_php__24bf8568__s002__tb65536__v006",
"axis": "code",
"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\": \"code2text_php__24bf8568__s003__tb131072__v010\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 75.33297124607097, \"nll_base\": 4.321917904124541, \"eval_ref\": \"code2text_php__24bf8568__s003__tb131072__v010\", \"oracle_delta\": 0.174174050723... | {
"index": "code2text_php__24bf8568__s003__tb131072__v010",
"uid": "code2text_php__24bf8568__s003__tb131072__v010",
"axis": "code",
"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\": \"code2text_php__24bf8568__s003__tb65536__v009\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 75.33297124607097, \"nll_base\": 4.321917904124541, \"eval_ref\": \"code2text_php__24bf8568__s003__tb65536__v009\", \"oracle_delta\": 0.075699570599724... | {
"index": "code2text_php__24bf8568__s003__tb65536__v009",
"uid": "code2text_php__24bf8568__s003__tb65536__v009",
"axis": "code",
"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\": \"code2text_php__24bf8568__s006__tb131072__v019\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 88.21873802773135, \"nll_base\": 4.479819389742596, \"eval_ref\": \"code2text_php__24bf8568__s006__tb131072__v019\", \"oracle_delta\": 0.141930782433... | {
"index": "code2text_php__24bf8568__s006__tb131072__v019",
"uid": "code2text_php__24bf8568__s006__tb131072__v019",
"axis": "code",
"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\": \"code2text_php__24bf8568__s006__tb65536__v018\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 88.21873802773135, \"nll_base\": 4.479819389742596, \"eval_ref\": \"code2text_php__24bf8568__s006__tb65536__v018\", \"oracle_delta\": 0.070653321657627... | {
"index": "code2text_php__24bf8568__s006__tb65536__v018",
"uid": "code2text_php__24bf8568__s006__tb65536__v018",
"axis": "code",
"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\": \"code2text_php__24bf8568__s007__tb131072__v022\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 86.41421374690266, \"nll_base\": 4.4591521732390875, \"eval_ref\": \"code2text_php__24bf8568__s007__tb131072__v022\", \"oracle_delta\": 0.18378964378... | {
"index": "code2text_php__24bf8568__s007__tb131072__v022",
"uid": "code2text_php__24bf8568__s007__tb131072__v022",
"axis": "code",
"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\": \"code2text_php__24bf8568__s007__tb65536__v021\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 86.41421374690266, \"nll_base\": 4.4591521732390875, \"eval_ref\": \"code2text_php__24bf8568__s007__tb65536__v021\", \"oracle_delta\": 0.06750585162450... | {
"index": "code2text_php__24bf8568__s007__tb65536__v021",
"uid": "code2text_php__24bf8568__s007__tb65536__v021",
"axis": "code",
"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\": \"code2text_php__24bf8568__s008__tb131072__v025\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 77.5552571672572, \"nll_base\": 4.350990678005163, \"eval_ref\": \"code2text_php__24bf8568__s008__tb131072__v025\", \"oracle_delta\": 0.1506786965339... | {
"index": "code2text_php__24bf8568__s008__tb131072__v025",
"uid": "code2text_php__24bf8568__s008__tb131072__v025",
"axis": "code",
"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\": \"code2text_php__24bf8568__s008__tb65536__v024\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 77.5552571672572, \"nll_base\": 4.350990678005163, \"eval_ref\": \"code2text_php__24bf8568__s008__tb65536__v024\", \"oracle_delta\": 0.0222243587527657... | {
"index": "code2text_php__24bf8568__s008__tb65536__v024",
"uid": "code2text_php__24bf8568__s008__tb65536__v024",
"axis": "code",
"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\": \"code2text_php__24bf8568__s009__tb131072__v028\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 80.60866289714976, \"nll_base\": 4.3896061238505295, \"eval_ref\": \"code2text_php__24bf8568__s009__tb131072__v028\", \"oracle_delta\": 0.10894684066... | {
"index": "code2text_php__24bf8568__s009__tb131072__v028",
"uid": "code2text_php__24bf8568__s009__tb131072__v028",
"axis": "code",
"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\": \"code2text_php__24bf8568__s009__tb262144__v029\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 80.60866289714976, \"nll_base\": 4.3896061238505295, \"eval_ref\": \"code2text_php__24bf8568__s009__tb262144__v029\", \"oracle_delta\": 0.25201370353... | {
"index": "code2text_php__24bf8568__s009__tb262144__v029",
"uid": "code2text_php__24bf8568__s009__tb262144__v029",
"axis": "code",
"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\": \"code2text_php__24bf8568__s009__tb65536__v027\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 80.60866289714976, \"nll_base\": 4.3896061238505295, \"eval_ref\": \"code2text_php__24bf8568__s009__tb65536__v027\", \"oracle_delta\": 0.04730011519053... | {
"index": "code2text_php__24bf8568__s009__tb65536__v027",
"uid": "code2text_php__24bf8568__s009__tb65536__v027",
"axis": "code",
"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\": \"code2text_php__24bf8568__s010__tb131072__v031\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 107.31828853663966, \"nll_base\": 4.675799078138423, \"eval_ref\": \"code2text_php__24bf8568__s010__tb131072__v031\", \"oracle_delta\": 0.10551300573... | {
"index": "code2text_php__24bf8568__s010__tb131072__v031",
"uid": "code2text_php__24bf8568__s010__tb131072__v031",
"axis": "code",
"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\": \"code2text_php__24bf8568__s010__tb65536__v030\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 107.31828853663966, \"nll_base\": 4.675799078138423, \"eval_ref\": \"code2text_php__24bf8568__s010__tb65536__v030\", \"oracle_delta\": 0.06524825997368... | {
"index": "code2text_php__24bf8568__s010__tb65536__v030",
"uid": "code2text_php__24bf8568__s010__tb65536__v030",
"axis": "code",
"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\": \"code2text_php__24bf8568__s011__tb131072__v034\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 91.67397758525372, \"nll_base\": 4.518238561293658, \"eval_ref\": \"code2text_php__24bf8568__s011__tb131072__v034\", \"oracle_delta\": 0.204816750919... | {
"index": "code2text_php__24bf8568__s011__tb131072__v034",
"uid": "code2text_php__24bf8568__s011__tb131072__v034",
"axis": "code",
"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\": \"code2text_php__24bf8568__s011__tb262144__v035\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 91.67397758525372, \"nll_base\": 4.518238561293658, \"eval_ref\": \"code2text_php__24bf8568__s011__tb262144__v035\", \"oracle_delta\": 0.315687291762... | {
"index": "code2text_php__24bf8568__s011__tb262144__v035",
"uid": "code2text_php__24bf8568__s011__tb262144__v035",
"axis": "code",
"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\": \"code2text_php__24bf8568__s011__tb65536__v033\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 91.67397758525372, \"nll_base\": 4.518238561293658, \"eval_ref\": \"code2text_php__24bf8568__s011__tb65536__v033\", \"oracle_delta\": 0.079556633444393... | {
"index": "code2text_php__24bf8568__s011__tb65536__v033",
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"axis": "code",
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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\": \"code2text_php__24bf8568__s012__tb131072__v037\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 111.63762861073462, \"nll_base\": 4.715258167048169, \"eval_ref\": \"code2text_php__24bf8568__s012__tb131072__v037\", \"oracle_delta\": 0.20443064695... | {
"index": "code2text_php__24bf8568__s012__tb131072__v037",
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"axis": "code",
"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\": \"code2text_php__24bf8568__s012__tb65536__v036\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 111.63762861073462, \"nll_base\": 4.715258167048169, \"eval_ref\": \"code2text_php__24bf8568__s012__tb65536__v036\", \"oracle_delta\": 0.06416874782294... | {
"index": "code2text_php__24bf8568__s012__tb65536__v036",
"uid": "code2text_php__24bf8568__s012__tb65536__v036",
"axis": "code",
"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\": \"code2text_php__24bf8568__s013__tb131072__v040\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 80.19615847376214, \"nll_base\": 4.38447561439561, \"eval_ref\": \"code2text_php__24bf8568__s013__tb131072__v040\", \"oracle_delta\": 0.1050521756973... | {
"index": "code2text_php__24bf8568__s013__tb131072__v040",
"uid": "code2text_php__24bf8568__s013__tb131072__v040",
"axis": "code",
"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\": \"code2text_python__723e914a__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 78.34056379340292, \"nll_base\": 4.36106552496189, \"eval_ref\": \"code2text_python__723e914a__s002__tb131072__v007\", \"oracle_delta\": 0.0787097... | {
"index": "code2text_python__723e914a__s002__tb131072__v007",
"uid": "code2text_python__723e914a__s002__tb131072__v007",
"axis": "code",
"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\": \"code2text_python__723e914a__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 78.34056379340292, \"nll_base\": 4.36106552496189, \"eval_ref\": \"code2text_python__723e914a__s002__tb65536__v006\", \"oracle_delta\": 0.0333594345... | {
"index": "code2text_python__723e914a__s002__tb65536__v006",
"uid": "code2text_python__723e914a__s002__tb65536__v006",
"axis": "code",
"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\": \"code2text_python__723e914a__s007__tb65536__v021\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 96.38798369974351, \"nll_base\": 4.568381543429393, \"eval_ref\": \"code2text_python__723e914a__s007__tb65536__v021\", \"oracle_delta\": 0.041194987... | {
"index": "code2text_python__723e914a__s007__tb65536__v021",
"uid": "code2text_python__723e914a__s007__tb65536__v021",
"axis": "code",
"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\": \"code2text_python__723e914a__s008__tb131072__v025\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 72.88790024409566, \"nll_base\": 4.288922647791584, \"eval_ref\": \"code2text_python__723e914a__s008__tb131072__v025\", \"oracle_delta\": 0.058850... | {
"index": "code2text_python__723e914a__s008__tb131072__v025",
"uid": "code2text_python__723e914a__s008__tb131072__v025",
"axis": "code",
"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\": \"code2text_python__723e914a__s012__tb131072__v037\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 74.04125490112963, \"nll_base\": 4.304622436523437, \"eval_ref\": \"code2text_python__723e914a__s012__tb131072__v037\", \"oracle_delta\": 0.084441... | {
"index": "code2text_python__723e914a__s012__tb131072__v037",
"uid": "code2text_python__723e914a__s012__tb131072__v037",
"axis": "code",
"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\": \"code2text_python__723e914a__s012__tb65536__v036\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 74.04125490112963, \"nll_base\": 4.304622436523437, \"eval_ref\": \"code2text_python__723e914a__s012__tb65536__v036\", \"oracle_delta\": 0.035608154... | {
"index": "code2text_python__723e914a__s012__tb65536__v036",
"uid": "code2text_python__723e914a__s012__tb65536__v036",
"axis": "code",
"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\": \"code2text_python__723e914a__s013__tb131072__v040\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 81.02992369527468, \"nll_base\": 4.394818514787317, \"eval_ref\": \"code2text_python__723e914a__s013__tb131072__v040\", \"oracle_delta\": 0.107162... | {
"index": "code2text_python__723e914a__s013__tb131072__v040",
"uid": "code2text_python__723e914a__s013__tb131072__v040",
"axis": "code",
"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\": \"code2text_python__723e914a__s013__tb65536__v039\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 81.02992369527468, \"nll_base\": 4.394818514787317, \"eval_ref\": \"code2text_python__723e914a__s013__tb65536__v039\", \"oracle_delta\": 0.043974383... | {
"index": "code2text_python__723e914a__s013__tb65536__v039",
"uid": "code2text_python__723e914a__s013__tb65536__v039",
"axis": "code",
"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\": \"code2text_python__723e914a__s014__tb65536__v042\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 53.950453687423156, \"nll_base\": 3.9880661010742187, \"eval_ref\": \"code2text_python__723e914a__s014__tb65536__v042\", \"oracle_delta\": 0.0245110... | {
"index": "code2text_python__723e914a__s014__tb65536__v042",
"uid": "code2text_python__723e914a__s014__tb65536__v042",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 81.73631564599613, \"nll_base\": 4.403498403056112, \"eval_ref\": \"code2text_ruby__23ddcce8__s001__tb65536__v005\", \"oracle_delta\": 0.0237868314754... | {
"index": "code2text_ruby__23ddcce8__s001__tb65536__v005",
"uid": "code2text_ruby__23ddcce8__s001__tb65536__v005",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s004__tb131072__v012\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 72.17491215735599, \"nll_base\": 4.279092508469713, \"eval_ref\": \"code2text_ruby__23ddcce8__s004__tb131072__v012\", \"oracle_delta\": 0.0630526429... | {
"index": "code2text_ruby__23ddcce8__s004__tb131072__v012",
"uid": "code2text_ruby__23ddcce8__s004__tb131072__v012",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s004__tb65536__v014\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 72.17491215735599, \"nll_base\": 4.279092508469713, \"eval_ref\": \"code2text_ruby__23ddcce8__s004__tb65536__v014\", \"oracle_delta\": 0.1030293686130... | {
"index": "code2text_ruby__23ddcce8__s004__tb65536__v014",
"uid": "code2text_ruby__23ddcce8__s004__tb65536__v014",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s005__tb131072__v015\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 70.60816392517312, \"nll_base\": 4.257145774147728, \"eval_ref\": \"code2text_ruby__23ddcce8__s005__tb131072__v015\", \"oracle_delta\": 0.1358939985... | {
"index": "code2text_ruby__23ddcce8__s005__tb131072__v015",
"uid": "code2text_ruby__23ddcce8__s005__tb131072__v015",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s005__tb65536__v017\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 70.60816392517312, \"nll_base\": 4.257145774147728, \"eval_ref\": \"code2text_ruby__23ddcce8__s005__tb65536__v017\", \"oracle_delta\": 0.0590988991477... | {
"index": "code2text_ruby__23ddcce8__s005__tb65536__v017",
"uid": "code2text_ruby__23ddcce8__s005__tb65536__v017",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s007__tb131072__v021\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 71.77760728840533, \"nll_base\": 4.2735725512046265, \"eval_ref\": \"code2text_ruby__23ddcce8__s007__tb131072__v021\", \"oracle_delta\": 0.061111294... | {
"index": "code2text_ruby__23ddcce8__s007__tb131072__v021",
"uid": "code2text_ruby__23ddcce8__s007__tb131072__v021",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s007__tb65536__v023\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 71.77760728840533, \"nll_base\": 4.2735725512046265, \"eval_ref\": \"code2text_ruby__23ddcce8__s007__tb65536__v023\", \"oracle_delta\": 0.042416063554... | {
"index": "code2text_ruby__23ddcce8__s007__tb65536__v023",
"uid": "code2text_ruby__23ddcce8__s007__tb65536__v023",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s008__tb131072__v024\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 103.5382121055243, \"nll_base\": 4.639940743655402, \"eval_ref\": \"code2text_ruby__23ddcce8__s008__tb131072__v024\", \"oracle_delta\": 0.0728492179... | {
"index": "code2text_ruby__23ddcce8__s008__tb131072__v024",
"uid": "code2text_ruby__23ddcce8__s008__tb131072__v024",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s011__tb65536__v035\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 137.9246312318892, \"nll_base\": 4.926707385469143, \"eval_ref\": \"code2text_ruby__23ddcce8__s011__tb65536__v035\", \"oracle_delta\": 0.0164135373209... | {
"index": "code2text_ruby__23ddcce8__s011__tb65536__v035",
"uid": "code2text_ruby__23ddcce8__s011__tb65536__v035",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s012__tb131072__v036\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 53.188183819448426, \"nll_base\": 3.9738362630208335, \"eval_ref\": \"code2text_ruby__23ddcce8__s012__tb131072__v036\", \"oracle_delta\": 0.04562157... | {
"index": "code2text_ruby__23ddcce8__s012__tb131072__v036",
"uid": "code2text_ruby__23ddcce8__s012__tb131072__v036",
"axis": "code",
"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\": \"code2text_ruby__23ddcce8__s012__tb65536__v038\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 53.188183819448426, \"nll_base\": 3.9738362630208335, \"eval_ref\": \"code2text_ruby__23ddcce8__s012__tb65536__v038\", \"oracle_delta\": 0.02052165552... | {
"index": "code2text_ruby__23ddcce8__s012__tb65536__v038",
"uid": "code2text_ruby__23ddcce8__s012__tb65536__v038",
"axis": "code",
"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\": \"commonsense_qa__89cea512__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3716.7783085352644, \"nll_base\": 8.220612525939941, \"eval_ref\": \"commonsense_qa__89cea512__s000__tb131072__v001\", \"oracle_delta\": 1.164657354... | {
"index": "commonsense_qa__89cea512__s000__tb131072__v001",
"uid": "commonsense_qa__89cea512__s000__tb131072__v001",
"axis": "reasoning",
"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\": \"commonsense_qa__89cea512__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3716.7783085352644, \"nll_base\": 8.220612525939941, \"eval_ref\": \"commonsense_qa__89cea512__s000__tb65536__v000\", \"oracle_delta\": 0.708794355392... | {
"index": "commonsense_qa__89cea512__s000__tb65536__v000",
"uid": "commonsense_qa__89cea512__s000__tb65536__v000",
"axis": "reasoning",
"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\": \"copa__77f19887__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 15.175671044511322, \"nll_base\": 2.7196935563640023, \"eval_ref\": \"copa__77f19887__s000__tb65536__v000\", \"oracle_delta\": 0.15512779137607335, \"random_del... | {
"index": "copa__77f19887__s000__tb65536__v000",
"uid": "copa__77f19887__s000__tb65536__v000",
"axis": "reasoning",
"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\": \"coqa__988946e3__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 69.44275421499464, \"nll_base\": 4.240502732799899, \"eval_ref\": \"coqa__988946e3__s000__tb131072__v002\", \"oracle_delta\": 0.3483569729712701, \"random_del... | {
"index": "coqa__988946e3__s000__tb131072__v002",
"uid": "coqa__988946e3__s000__tb131072__v002",
"axis": "qa",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
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