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\": \"mlqa_hi_de__66bf52d2__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.330827233073213, \"nll_base\": 1.20322069148193, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s000__tb131072__v002\", \"oracle_delta\": 0.08596114998602822, ... | {
"index": "mlqa_hi_de__66bf52d2__s000__tb131072__v002",
"uid": "mlqa_hi_de__66bf52d2__s000__tb131072__v002",
"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\": \"mlqa_hi_de__66bf52d2__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.330827233073213, \"nll_base\": 1.20322069148193, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s000__tb262144__v000\", \"oracle_delta\": 0.17914305003318276, ... | {
"index": "mlqa_hi_de__66bf52d2__s000__tb262144__v000",
"uid": "mlqa_hi_de__66bf52d2__s000__tb262144__v000",
"axis": "qa",
"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\": \"mlqa_hi_de__66bf52d2__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3.330827233073213, \"nll_base\": 1.20322069148193, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s000__tb65536__v001\", \"oracle_delta\": 0.04285031814688889, \"r... | {
"index": "mlqa_hi_de__66bf52d2__s000__tb65536__v001",
"uid": "mlqa_hi_de__66bf52d2__s000__tb65536__v001",
"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\": \"mlqa_hi_de__66bf52d2__s001__tb131072__v005\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5.231603154192526, \"nll_base\": 1.6547177615443167, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s001__tb131072__v005\", \"oracle_delta\": 0.07719295434603346... | {
"index": "mlqa_hi_de__66bf52d2__s001__tb131072__v005",
"uid": "mlqa_hi_de__66bf52d2__s001__tb131072__v005",
"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\": \"mlqa_hi_de__66bf52d2__s001__tb262144__v003\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 5.231603154192526, \"nll_base\": 1.6547177615443167, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s001__tb262144__v003\", \"oracle_delta\": 0.1544476045807257,... | {
"index": "mlqa_hi_de__66bf52d2__s001__tb262144__v003",
"uid": "mlqa_hi_de__66bf52d2__s001__tb262144__v003",
"axis": "qa",
"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\": \"mlqa_hi_de__66bf52d2__s001__tb65536__v004\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.231603154192526, \"nll_base\": 1.6547177615443167, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s001__tb65536__v004\", \"oracle_delta\": 0.04279951991183184, \... | {
"index": "mlqa_hi_de__66bf52d2__s001__tb65536__v004",
"uid": "mlqa_hi_de__66bf52d2__s001__tb65536__v004",
"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\": \"mlqa_hi_de__66bf52d2__s002__tb262144__v006\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.9133375127188867, \"nll_base\": 1.3643905937173573, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s002__tb262144__v006\", \"oracle_delta\": 0.1752987067347449... | {
"index": "mlqa_hi_de__66bf52d2__s002__tb262144__v006",
"uid": "mlqa_hi_de__66bf52d2__s002__tb262144__v006",
"axis": "qa",
"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\": \"mlqa_hi_de__66bf52d2__s002__tb65536__v007\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3.9133375127188867, \"nll_base\": 1.3643905937173573, \"eval_ref\": \"mlqa_hi_de__66bf52d2__s002__tb65536__v007\", \"oracle_delta\": 0.04191695614445501, ... | {
"index": "mlqa_hi_de__66bf52d2__s002__tb65536__v007",
"uid": "mlqa_hi_de__66bf52d2__s002__tb65536__v007",
"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\": \"mlqa_hi_en__ea628517__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.006282789871504, \"nll_base\": 1.1007043620462151, \"eval_ref\": \"mlqa_hi_en__ea628517__s000__tb131072__v000\", \"oracle_delta\": 0.05377913847274063... | {
"index": "mlqa_hi_en__ea628517__s000__tb131072__v000",
"uid": "mlqa_hi_en__ea628517__s000__tb131072__v000",
"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\": \"mlqa_hi_en__ea628517__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.006282789871504, \"nll_base\": 1.1007043620462151, \"eval_ref\": \"mlqa_hi_en__ea628517__s000__tb262144__v001\", \"oracle_delta\": 0.09576516588488015... | {
"index": "mlqa_hi_en__ea628517__s000__tb262144__v001",
"uid": "mlqa_hi_en__ea628517__s000__tb262144__v001",
"axis": "qa",
"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\": \"mlqa_hi_en__ea628517__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3.006282789871504, \"nll_base\": 1.1007043620462151, \"eval_ref\": \"mlqa_hi_en__ea628517__s000__tb65536__v002\", \"oracle_delta\": 0.025950878705104152, ... | {
"index": "mlqa_hi_en__ea628517__s000__tb65536__v002",
"uid": "mlqa_hi_en__ea628517__s000__tb65536__v002",
"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\": \"mlqa_hi_en__ea628517__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.8475182063387448, \"nll_base\": 1.3474283187115779, \"eval_ref\": \"mlqa_hi_en__ea628517__s001__tb131072__v003\", \"oracle_delta\": 0.0726653552446208... | {
"index": "mlqa_hi_en__ea628517__s001__tb131072__v003",
"uid": "mlqa_hi_en__ea628517__s001__tb131072__v003",
"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\": \"mlqa_hi_en__ea628517__s001__tb262144__v004\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.8475182063387448, \"nll_base\": 1.3474283187115779, \"eval_ref\": \"mlqa_hi_en__ea628517__s001__tb262144__v004\", \"oracle_delta\": 0.1484849273181352... | {
"index": "mlqa_hi_en__ea628517__s001__tb262144__v004",
"uid": "mlqa_hi_en__ea628517__s001__tb262144__v004",
"axis": "qa",
"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\": \"mlqa_hi_en__ea628517__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3.8475182063387448, \"nll_base\": 1.3474283187115779, \"eval_ref\": \"mlqa_hi_en__ea628517__s001__tb65536__v005\", \"oracle_delta\": 0.04451924308401645, ... | {
"index": "mlqa_hi_en__ea628517__s001__tb65536__v005",
"uid": "mlqa_hi_en__ea628517__s001__tb65536__v005",
"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\": \"mlqa_hi_en__ea628517__s002__tb131072__v006\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.302622706797693, \"nll_base\": 1.194716912453895, \"eval_ref\": \"mlqa_hi_en__ea628517__s002__tb131072__v006\", \"oracle_delta\": 0.05289373138071496,... | {
"index": "mlqa_hi_en__ea628517__s002__tb131072__v006",
"uid": "mlqa_hi_en__ea628517__s002__tb131072__v006",
"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\": \"mlqa_hi_en__ea628517__s002__tb262144__v007\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.302622706797693, \"nll_base\": 1.194716912453895, \"eval_ref\": \"mlqa_hi_en__ea628517__s002__tb262144__v007\", \"oracle_delta\": 0.12539233493433843,... | {
"index": "mlqa_hi_en__ea628517__s002__tb262144__v007",
"uid": "mlqa_hi_en__ea628517__s002__tb262144__v007",
"axis": "qa",
"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\": \"mlqa_hi_es__4225507a__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.983422368819945, \"nll_base\": 1.6061168776618109, \"eval_ref\": \"mlqa_hi_es__4225507a__s000__tb131072__v001\", \"oracle_delta\": 0.11703835593329526... | {
"index": "mlqa_hi_es__4225507a__s000__tb131072__v001",
"uid": "mlqa_hi_es__4225507a__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\": \"mlqa_hi_es__4225507a__s000__tb262144__v002\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4.983422368819945, \"nll_base\": 1.6061168776618109, \"eval_ref\": \"mlqa_hi_es__4225507a__s000__tb262144__v002\", \"oracle_delta\": 0.19836680094401027... | {
"index": "mlqa_hi_es__4225507a__s000__tb262144__v002",
"uid": "mlqa_hi_es__4225507a__s000__tb262144__v002",
"axis": "qa",
"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\": \"mlqa_hi_es__4225507a__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.983422368819945, \"nll_base\": 1.6061168776618109, \"eval_ref\": \"mlqa_hi_es__4225507a__s000__tb65536__v000\", \"oracle_delta\": 0.08220169279310419, \... | {
"index": "mlqa_hi_es__4225507a__s000__tb65536__v000",
"uid": "mlqa_hi_es__4225507a__s000__tb65536__v000",
"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\": \"mlqa_hi_es__4225507a__s001__tb131072__v004\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.518154658257887, \"nll_base\": 1.257936607332548, \"eval_ref\": \"mlqa_hi_es__4225507a__s001__tb131072__v004\", \"oracle_delta\": 0.05398178572118373,... | {
"index": "mlqa_hi_es__4225507a__s001__tb131072__v004",
"uid": "mlqa_hi_es__4225507a__s001__tb131072__v004",
"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\": \"mlqa_hi_es__4225507a__s001__tb262144__v005\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.518154658257887, \"nll_base\": 1.257936607332548, \"eval_ref\": \"mlqa_hi_es__4225507a__s001__tb262144__v005\", \"oracle_delta\": 0.12215609367757274,... | {
"index": "mlqa_hi_es__4225507a__s001__tb262144__v005",
"uid": "mlqa_hi_es__4225507a__s001__tb262144__v005",
"axis": "qa",
"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\": \"mlqa_hi_es__4225507a__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3.518154658257887, \"nll_base\": 1.257936607332548, \"eval_ref\": \"mlqa_hi_es__4225507a__s001__tb65536__v003\", \"oracle_delta\": 0.038120227337473, \"ra... | {
"index": "mlqa_hi_es__4225507a__s001__tb65536__v003",
"uid": "mlqa_hi_es__4225507a__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\": \"mlqa_hi_es__4225507a__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.82509608938336, \"nll_base\": 1.573830649490756, \"eval_ref\": \"mlqa_hi_es__4225507a__s002__tb131072__v007\", \"oracle_delta\": 0.08745491067776512, ... | {
"index": "mlqa_hi_es__4225507a__s002__tb131072__v007",
"uid": "mlqa_hi_es__4225507a__s002__tb131072__v007",
"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\": \"mlqa_hi_es__4225507a__s002__tb262144__v008\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4.82509608938336, \"nll_base\": 1.573830649490756, \"eval_ref\": \"mlqa_hi_es__4225507a__s002__tb262144__v008\", \"oracle_delta\": 0.1424914454914512, \... | {
"index": "mlqa_hi_es__4225507a__s002__tb262144__v008",
"uid": "mlqa_hi_es__4225507a__s002__tb262144__v008",
"axis": "qa",
"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\": \"mlqa_hi_es__4225507a__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.82509608938336, \"nll_base\": 1.573830649490756, \"eval_ref\": \"mlqa_hi_es__4225507a__s002__tb65536__v006\", \"oracle_delta\": 0.04667855307693891, \"r... | {
"index": "mlqa_hi_es__4225507a__s002__tb65536__v006",
"uid": "mlqa_hi_es__4225507a__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\": \"mlqa_hi_vi__f42a992d__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5.13790117773737, \"nll_base\": 1.6366446648976964, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s000__tb131072__v000\", \"oracle_delta\": 0.11421876421784005,... | {
"index": "mlqa_hi_vi__f42a992d__s000__tb131072__v000",
"uid": "mlqa_hi_vi__f42a992d__s000__tb131072__v000",
"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\": \"mlqa_hi_vi__f42a992d__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 5.13790117773737, \"nll_base\": 1.6366446648976964, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s000__tb262144__v001\", \"oracle_delta\": 0.20076742822834337,... | {
"index": "mlqa_hi_vi__f42a992d__s000__tb262144__v001",
"uid": "mlqa_hi_vi__f42a992d__s000__tb262144__v001",
"axis": "qa",
"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\": \"mlqa_hi_vi__f42a992d__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.13790117773737, \"nll_base\": 1.6366446648976964, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s000__tb65536__v002\", \"oracle_delta\": 0.07562067980774212, \"... | {
"index": "mlqa_hi_vi__f42a992d__s000__tb65536__v002",
"uid": "mlqa_hi_vi__f42a992d__s000__tb65536__v002",
"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\": \"mlqa_hi_vi__f42a992d__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.5500269695212854, \"nll_base\": 1.2669552005067164, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s001__tb131072__v003\", \"oracle_delta\": 0.0811091442497409... | {
"index": "mlqa_hi_vi__f42a992d__s001__tb131072__v003",
"uid": "mlqa_hi_vi__f42a992d__s001__tb131072__v003",
"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\": \"mlqa_hi_vi__f42a992d__s001__tb262144__v004\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.5500269695212854, \"nll_base\": 1.2669552005067164, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s001__tb262144__v004\", \"oracle_delta\": 0.1486160901128030... | {
"index": "mlqa_hi_vi__f42a992d__s001__tb262144__v004",
"uid": "mlqa_hi_vi__f42a992d__s001__tb262144__v004",
"axis": "qa",
"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\": \"mlqa_hi_vi__f42a992d__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3.5500269695212854, \"nll_base\": 1.2669552005067164, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s001__tb65536__v005\", \"oracle_delta\": 0.046921438100386625,... | {
"index": "mlqa_hi_vi__f42a992d__s001__tb65536__v005",
"uid": "mlqa_hi_vi__f42a992d__s001__tb65536__v005",
"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\": \"mlqa_hi_vi__f42a992d__s002__tb131072__v006\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3.76301575492654, \"nll_base\": 1.3252206984020414, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s002__tb131072__v006\", \"oracle_delta\": 0.07367002396356481,... | {
"index": "mlqa_hi_vi__f42a992d__s002__tb131072__v006",
"uid": "mlqa_hi_vi__f42a992d__s002__tb131072__v006",
"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\": \"mlqa_hi_vi__f42a992d__s002__tb262144__v007\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3.76301575492654, \"nll_base\": 1.3252206984020414, \"eval_ref\": \"mlqa_hi_vi__f42a992d__s002__tb262144__v007\", \"oracle_delta\": 0.14943309057326526,... | {
"index": "mlqa_hi_vi__f42a992d__s002__tb262144__v007",
"uid": "mlqa_hi_vi__f42a992d__s002__tb262144__v007",
"axis": "qa",
"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\": \"mlqa_vi_ar__6d015faa__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6.32426730166026, \"nll_base\": 1.8443941862686821, \"eval_ref\": \"mlqa_vi_ar__6d015faa__s000__tb65536__v000\", \"oracle_delta\": 0.034574160368546325, \... | {
"index": "mlqa_vi_ar__6d015faa__s000__tb65536__v000",
"uid": "mlqa_vi_ar__6d015faa__s000__tb65536__v000",
"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\": \"mlqa_vi_ar__6d015faa__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6.334940639207534, \"nll_base\": 1.8460804434383618, \"eval_ref\": \"mlqa_vi_ar__6d015faa__s002__tb131072__v007\", \"oracle_delta\": 0.06504154205322266... | {
"index": "mlqa_vi_ar__6d015faa__s002__tb131072__v007",
"uid": "mlqa_vi_ar__6d015faa__s002__tb131072__v007",
"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\": \"mlqa_vi_ar__6d015faa__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6.334940639207534, \"nll_base\": 1.8460804434383618, \"eval_ref\": \"mlqa_vi_ar__6d015faa__s002__tb65536__v006\", \"oracle_delta\": 0.032466495738310064, ... | {
"index": "mlqa_vi_ar__6d015faa__s002__tb65536__v006",
"uid": "mlqa_vi_ar__6d015faa__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\": \"mlqa_vi_de__2b8398c0__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 14.206421040032831, \"nll_base\": 2.6536940483197773, \"eval_ref\": \"mlqa_vi_de__2b8398c0__s000__tb131072__v001\", \"oracle_delta\": 0.1282343407199806... | {
"index": "mlqa_vi_de__2b8398c0__s000__tb131072__v001",
"uid": "mlqa_vi_de__2b8398c0__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\": \"mlqa_vi_de__2b8398c0__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 14.206421040032831, \"nll_base\": 2.6536940483197773, \"eval_ref\": \"mlqa_vi_de__2b8398c0__s000__tb65536__v000\", \"oracle_delta\": 0.08145685065282526, ... | {
"index": "mlqa_vi_de__2b8398c0__s000__tb65536__v000",
"uid": "mlqa_vi_de__2b8398c0__s000__tb65536__v000",
"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\": \"mlqa_vi_de__2b8398c0__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6.443010840257996, \"nll_base\": 1.8629959526411983, \"eval_ref\": \"mlqa_vi_de__2b8398c0__s002__tb131072__v007\", \"oracle_delta\": 0.06140948654314782... | {
"index": "mlqa_vi_de__2b8398c0__s002__tb131072__v007",
"uid": "mlqa_vi_de__2b8398c0__s002__tb131072__v007",
"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\": \"mlqa_vi_de__2b8398c0__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6.443010840257996, \"nll_base\": 1.8629959526411983, \"eval_ref\": \"mlqa_vi_de__2b8398c0__s002__tb65536__v006\", \"oracle_delta\": 0.02084378583715596, \... | {
"index": "mlqa_vi_de__2b8398c0__s002__tb65536__v006",
"uid": "mlqa_vi_de__2b8398c0__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\": \"mlqa_vi_es__caa4590d__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6.201710925106611, \"nll_base\": 1.824825209644642, \"eval_ref\": \"mlqa_vi_es__caa4590d__s000__tb131072__v001\", \"oracle_delta\": 0.07137221363391966,... | {
"index": "mlqa_vi_es__caa4590d__s000__tb131072__v001",
"uid": "mlqa_vi_es__caa4590d__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\": \"mlqa_vi_es__caa4590d__s001__tb131072__v004\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5.682381075023573, \"nll_base\": 1.7373703482411045, \"eval_ref\": \"mlqa_vi_es__caa4590d__s001__tb131072__v004\", \"oracle_delta\": 0.06476811604667287... | {
"index": "mlqa_vi_es__caa4590d__s001__tb131072__v004",
"uid": "mlqa_vi_es__caa4590d__s001__tb131072__v004",
"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\": \"mlqa_vi_es__caa4590d__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.682381075023573, \"nll_base\": 1.7373703482411045, \"eval_ref\": \"mlqa_vi_es__caa4590d__s001__tb65536__v003\", \"oracle_delta\": 0.0316188057777842, \"... | {
"index": "mlqa_vi_es__caa4590d__s001__tb65536__v003",
"uid": "mlqa_vi_es__caa4590d__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\": \"mlqa_vi_es__caa4590d__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.835733001809443, \"nll_base\": 1.576032720684435, \"eval_ref\": \"mlqa_vi_es__caa4590d__s002__tb65536__v006\", \"oracle_delta\": 0.020373087370414655, \... | {
"index": "mlqa_vi_es__caa4590d__s002__tb65536__v006",
"uid": "mlqa_vi_es__caa4590d__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\": \"mlqa_vi_hi__1d322d47__s002__tb131072__v006\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 7.075981731764484, \"nll_base\": 1.9567061945763549, \"eval_ref\": \"mlqa_vi_hi__1d322d47__s002__tb131072__v006\", \"oracle_delta\": 0.08051049060032, \... | {
"index": "mlqa_vi_hi__1d322d47__s002__tb131072__v006",
"uid": "mlqa_vi_hi__1d322d47__s002__tb131072__v006",
"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\": \"mlqa_vi_hi__1d322d47__s002__tb65536__v008\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 7.075981731764484, \"nll_base\": 1.9567061945763549, \"eval_ref\": \"mlqa_vi_hi__1d322d47__s002__tb65536__v008\", \"oracle_delta\": 0.044884775199142135, ... | {
"index": "mlqa_vi_hi__1d322d47__s002__tb65536__v008",
"uid": "mlqa_vi_hi__1d322d47__s002__tb65536__v008",
"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\": \"mlqa_vi_vi__a8fd1068__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6.3825245834887365, \"nll_base\": 1.853563721828197, \"eval_ref\": \"mlqa_vi_vi__a8fd1068__s000__tb131072__v000\", \"oracle_delta\": 0.07535507272465436... | {
"index": "mlqa_vi_vi__a8fd1068__s000__tb131072__v000",
"uid": "mlqa_vi_vi__a8fd1068__s000__tb131072__v000",
"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\": \"mlqa_vi_vi__a8fd1068__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6.3825245834887365, \"nll_base\": 1.853563721828197, \"eval_ref\": \"mlqa_vi_vi__a8fd1068__s000__tb65536__v002\", \"oracle_delta\": 0.0262935656006984, \"... | {
"index": "mlqa_vi_vi__a8fd1068__s000__tb65536__v002",
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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",
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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",
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"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\": \"mlqa_zh_es__f26bdaf5__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.332180619261861, \"nll_base\": 1.4660710224666706, \"eval_ref\": \"mlqa_zh_es__f26bdaf5__s000__tb65536__v002\", \"oracle_delta\": 0.022314321738166498, ... | {
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"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\": \"mlqa_zh_es__f26bdaf5__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.098231228711695, \"nll_base\": 1.410555472995924, \"eval_ref\": \"mlqa_zh_es__f26bdaf5__s001__tb65536__v005\", \"oracle_delta\": 0.02724736752717405, \"... | {
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"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\": \"mlqa_zh_hi__58ac535a__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.352827058178443, \"nll_base\": 1.6776248434315557, \"eval_ref\": \"mlqa_zh_hi__58ac535a__s000__tb65536__v001\", \"oracle_delta\": 0.021981214440387253, ... | {
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"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\": \"mlqa_zh_hi__58ac535a__s001__tb65536__v004\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.762574848257864, \"nll_base\": 1.5607884564989518, \"eval_ref\": \"mlqa_zh_hi__58ac535a__s001__tb65536__v004\", \"oracle_delta\": 0.023661743419975068, ... | {
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"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\": \"mlqa_zh_hi__58ac535a__s002__tb65536__v007\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.165078089884002, \"nll_base\": 1.4267350245148336, \"eval_ref\": \"mlqa_zh_hi__58ac535a__s002__tb65536__v007\", \"oracle_delta\": 0.024535617506302954, ... | {
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"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\": \"mlqa_zh_vi__1a6549ec__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.514639764352144, \"nll_base\": 1.5073253972743585, \"eval_ref\": \"mlqa_zh_vi__1a6549ec__s000__tb65536__v001\", \"oracle_delta\": 0.028362305183720737, ... | {
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"uid": "mlqa_zh_vi__1a6549ec__s000__tb65536__v001",
"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\": \"mlqa_zh_vi__1a6549ec__s002__tb65536__v007\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 7.235317434996847, \"nll_base\": 1.9789742340341498, \"eval_ref\": \"mlqa_zh_vi__1a6549ec__s002__tb65536__v007\", \"oracle_delta\": 0.029748044846130473, ... | {
"index": "mlqa_zh_vi__1a6549ec__s002__tb65536__v007",
"uid": "mlqa_zh_vi__1a6549ec__s002__tb65536__v007",
"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\": \"mlqa_zh_zh__4c4757eb__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.83049968965259, \"nll_base\": 1.5749499177279538, \"eval_ref\": \"mlqa_zh_zh__4c4757eb__s000__tb65536__v000\", \"oracle_delta\": 0.0365791096845951, \"r... | {
"index": "mlqa_zh_zh__4c4757eb__s000__tb65536__v000",
"uid": "mlqa_zh_zh__4c4757eb__s000__tb65536__v000",
"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\": \"mlqa_zh_zh__4c4757eb__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2.877714169217465, \"nll_base\": 1.0569962877642634, \"eval_ref\": \"mlqa_zh_zh__4c4757eb__s002__tb65536__v006\", \"oracle_delta\": 0.019356438821316546, ... | {
"index": "mlqa_zh_zh__4c4757eb__s002__tb65536__v006",
"uid": "mlqa_zh_zh__4c4757eb__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\": \"mmlu_anatomy__ab901903__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 471.84117578627763, \"nll_base\": 6.156642436981201, \"eval_ref\": \"mmlu_anatomy__ab901903__s000__tb131072__v000\", \"oracle_delta\": 0.6246435642242... | {
"index": "mmlu_anatomy__ab901903__s000__tb131072__v000",
"uid": "mmlu_anatomy__ab901903__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\": \"mmlu_anatomy_continuation__349f2584__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 7.050582797759963, \"nll_base\": 1.953110279756434, \"eval_ref\": \"mmlu_anatomy_continuation__349f2584__s000__tb262144__v000\", \"oracle... | {
"index": "mmlu_anatomy_continuation__349f2584__s000__tb262144__v000",
"uid": "mmlu_anatomy_continuation__349f2584__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\": \"mmlu_anatomy_generative__74851b94__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 918.6932413606218, \"nll_base\": 6.8229522705078125, \"eval_ref\": \"mmlu_anatomy_generative__74851b94__s000__tb262144__v000\", \"oracle_de... | {
"index": "mmlu_anatomy_generative__74851b94__s000__tb262144__v000",
"uid": "mmlu_anatomy_generative__74851b94__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\": \"mmlu_anatomy_generative_spanish__39e05fac__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2598.100071360282, \"nll_base\": 7.862535715103149, \"eval_ref\": \"mmlu_anatomy_generative_spanish__39e05fac__s000__tb131072__v001... | {
"index": "mmlu_anatomy_generative_spanish__39e05fac__s000__tb131072__v001",
"uid": "mmlu_anatomy_generative_spanish__39e05fac__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\": \"mmlu_anatomy_generative_spanish__39e05fac__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2598.100071360282, \"nll_base\": 7.862535715103149, \"eval_ref\": \"mmlu_anatomy_generative_spanish__39e05fac__s000__tb65536__v000\",... | {
"index": "mmlu_anatomy_generative_spanish__39e05fac__s000__tb65536__v000",
"uid": "mmlu_anatomy_generative_spanish__39e05fac__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\": \"mmlu_astronomy__ab9e5107__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1231.6615430073382, \"nll_base\": 7.116119384765625, \"eval_ref\": \"mmlu_astronomy__ab9e5107__s000__tb262144__v000\", \"oracle_delta\": 1.015311479... | {
"index": "mmlu_astronomy__ab9e5107__s000__tb262144__v000",
"uid": "mmlu_astronomy__ab9e5107__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\": \"mmlu_astronomy__ab9e5107__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1231.6615430073382, \"nll_base\": 7.116119384765625, \"eval_ref\": \"mmlu_astronomy__ab9e5107__s000__tb65536__v001\", \"oracle_delta\": 0.490876197814... | {
"index": "mmlu_astronomy__ab9e5107__s000__tb65536__v001",
"uid": "mmlu_astronomy__ab9e5107__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\": \"mmlu_astronomy_continuation__5407cd02__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.349315899638565, \"nll_base\": 1.4700185682823377, \"eval_ref\": \"mmlu_astronomy_continuation__5407cd02__s000__tb131072__v001\", \"o... | {
"index": "mmlu_astronomy_continuation__5407cd02__s000__tb131072__v001",
"uid": "mmlu_astronomy_continuation__5407cd02__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\": \"mmlu_astronomy_continuation__5407cd02__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.349315899638565, \"nll_base\": 1.4700185682823377, \"eval_ref\": \"mmlu_astronomy_continuation__5407cd02__s000__tb65536__v000\", \"orac... | {
"index": "mmlu_astronomy_continuation__5407cd02__s000__tb65536__v000",
"uid": "mmlu_astronomy_continuation__5407cd02__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\": \"mmlu_astronomy_generative__8bbc610d__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2097.8184885940673, \"nll_base\": 7.648653268814087, \"eval_ref\": \"mmlu_astronomy_generative__8bbc610d__s000__tb65536__v000\", \"oracle_d... | {
"index": "mmlu_astronomy_generative__8bbc610d__s000__tb65536__v000",
"uid": "mmlu_astronomy_generative__8bbc610d__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\": \"mmlu_business_ethics__d0b42c5a__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 976.9785929045814, \"nll_base\": 6.884464740753174, \"eval_ref\": \"mmlu_business_ethics__d0b42c5a__s000__tb131072__v001\", \"oracle_delta\": ... | {
"index": "mmlu_business_ethics__d0b42c5a__s000__tb131072__v001",
"uid": "mmlu_business_ethics__d0b42c5a__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\": \"mmlu_business_ethics__d0b42c5a__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 976.9785929045814, \"nll_base\": 6.884464740753174, \"eval_ref\": \"mmlu_business_ethics__d0b42c5a__s000__tb65536__v000\", \"oracle_delta\": 0.4... | {
"index": "mmlu_business_ethics__d0b42c5a__s000__tb65536__v000",
"uid": "mmlu_business_ethics__d0b42c5a__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\": \"mmlu_business_ethics_continuation__0e486ff1__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 7.288249333290122, \"nll_base\": 1.9862633708557347, \"eval_ref\": \"mmlu_business_ethics_continuation__0e486ff1__s000__tb65536__v0... | {
"index": "mmlu_business_ethics_continuation__0e486ff1__s000__tb65536__v000",
"uid": "mmlu_business_ethics_continuation__0e486ff1__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\": \"mmlu_business_ethics_generative__b57fd2ce__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 973.6139052884131, \"nll_base\": 6.881014823913574, \"eval_ref\": \"mmlu_business_ethics_generative__b57fd2ce__s000__tb131072__v000... | {
"index": "mmlu_business_ethics_generative__b57fd2ce__s000__tb131072__v000",
"uid": "mmlu_business_ethics_generative__b57fd2ce__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\": \"mmlu_business_ethics_generative__b57fd2ce__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 973.6139052884131, \"nll_base\": 6.881014823913574, \"eval_ref\": \"mmlu_business_ethics_generative__b57fd2ce__s000__tb262144__v001... | {
"index": "mmlu_business_ethics_generative__b57fd2ce__s000__tb262144__v001",
"uid": "mmlu_business_ethics_generative__b57fd2ce__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\": \"mmlu_clinical_knowledge__ca9ddebf__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 734.4003651743004, \"nll_base\": 6.599054336547852, \"eval_ref\": \"mmlu_clinical_knowledge__ca9ddebf__s000__tb131072__v000\", \"oracle_del... | {
"index": "mmlu_clinical_knowledge__ca9ddebf__s000__tb131072__v000",
"uid": "mmlu_clinical_knowledge__ca9ddebf__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\": \"mmlu_clinical_knowledge__ca9ddebf__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 734.4003651743004, \"nll_base\": 6.599054336547852, \"eval_ref\": \"mmlu_clinical_knowledge__ca9ddebf__s000__tb262144__v001\", \"oracle_del... | {
"index": "mmlu_clinical_knowledge__ca9ddebf__s000__tb262144__v001",
"uid": "mmlu_clinical_knowledge__ca9ddebf__s000__tb262144__v001",
"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\": \"mmlu_clinical_knowledge__ca9ddebf__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 734.4003651743004, \"nll_base\": 6.599054336547852, \"eval_ref\": \"mmlu_clinical_knowledge__ca9ddebf__s000__tb65536__v002\", \"oracle_delta\... | {
"index": "mmlu_clinical_knowledge__ca9ddebf__s000__tb65536__v002",
"uid": "mmlu_clinical_knowledge__ca9ddebf__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\": \"mmlu_clinical_knowledge_continuation__f5a65042__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6.54784994450052, \"nll_base\": 1.8791367430124224, \"eval_ref\": \"mmlu_clinical_knowledge_continuation__f5a65042__s000__tb13... | {
"index": "mmlu_clinical_knowledge_continuation__f5a65042__s000__tb131072__v002",
"uid": "mmlu_clinical_knowledge_continuation__f5a65042__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\": \"mmlu_clinical_knowledge_continuation__f5a65042__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 6.54784994450052, \"nll_base\": 1.8791367430124224, \"eval_ref\": \"mmlu_clinical_knowledge_continuation__f5a65042__s000__tb26... | {
"index": "mmlu_clinical_knowledge_continuation__f5a65042__s000__tb262144__v000",
"uid": "mmlu_clinical_knowledge_continuation__f5a65042__s000__tb262144__v000",
"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\": \"mmlu_clinical_knowledge_continuation__f5a65042__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6.54784994450052, \"nll_base\": 1.8791367430124224, \"eval_ref\": \"mmlu_clinical_knowledge_continuation__f5a65042__s000__tb6553... | {
"index": "mmlu_clinical_knowledge_continuation__f5a65042__s000__tb65536__v001",
"uid": "mmlu_clinical_knowledge_continuation__f5a65042__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\": \"mmlu_clinical_knowledge_continuation__f5a65042__s001__tb262144__v003\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 6.41960082223881, \"nll_base\": 1.8593559385474172, \"eval_ref\": \"mmlu_clinical_knowledge_continuation__f5a65042__s001__tb26... | {
"index": "mmlu_clinical_knowledge_continuation__f5a65042__s001__tb262144__v003",
"uid": "mmlu_clinical_knowledge_continuation__f5a65042__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\": \"mmlu_clinical_knowledge_generative__26a7bba0__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 944.1094836930682, \"nll_base\": 6.8502421379089355, \"eval_ref\": \"mmlu_clinical_knowledge_generative__26a7bba0__s000__tb13107... | {
"index": "mmlu_clinical_knowledge_generative__26a7bba0__s000__tb131072__v000",
"uid": "mmlu_clinical_knowledge_generative__26a7bba0__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\": \"mmlu_clinical_knowledge_generative__26a7bba0__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 944.1094836930682, \"nll_base\": 6.8502421379089355, \"eval_ref\": \"mmlu_clinical_knowledge_generative__26a7bba0__s000__tb65536__... | {
"index": "mmlu_clinical_knowledge_generative__26a7bba0__s000__tb65536__v002",
"uid": "mmlu_clinical_knowledge_generative__26a7bba0__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\": \"mmlu_clinical_knowledge_generative__26a7bba0__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 839.8292880995253, \"nll_base\": 6.733198642730713, \"eval_ref\": \"mmlu_clinical_knowledge_generative__26a7bba0__s001__tb131072... | {
"index": "mmlu_clinical_knowledge_generative__26a7bba0__s001__tb131072__v003",
"uid": "mmlu_clinical_knowledge_generative__26a7bba0__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\": \"mmlu_clinical_knowledge_generative_spanish__6f103040__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6162.056027178376, \"nll_base\": 8.726165771484375, \"eval_ref\": \"mmlu_clinical_knowledge_generative_spanish__6f103040... | {
"index": "mmlu_clinical_knowledge_generative_spanish__6f103040__s000__tb131072__v001",
"uid": "mmlu_clinical_knowledge_generative_spanish__6f103040__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\": \"mmlu_clinical_knowledge_generative_spanish__6f103040__s000__tb262144__v002\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 6162.056027178376, \"nll_base\": 8.726165771484375, \"eval_ref\": \"mmlu_clinical_knowledge_generative_spanish__6f103040... | {
"index": "mmlu_clinical_knowledge_generative_spanish__6f103040__s000__tb262144__v002",
"uid": "mmlu_clinical_knowledge_generative_spanish__6f103040__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\": \"mmlu_clinical_knowledge_generative_spanish__6f103040__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6162.056027178376, \"nll_base\": 8.726165771484375, \"eval_ref\": \"mmlu_clinical_knowledge_generative_spanish__6f103040__... | {
"index": "mmlu_clinical_knowledge_generative_spanish__6f103040__s000__tb65536__v000",
"uid": "mmlu_clinical_knowledge_generative_spanish__6f103040__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\": \"mmlu_clinical_knowledge_generative_spanish__6f103040__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3427.768173041577, \"nll_base\": 8.139664649963379, \"eval_ref\": \"mmlu_clinical_knowledge_generative_spanish__6f103040__... | {
"index": "mmlu_clinical_knowledge_generative_spanish__6f103040__s001__tb65536__v003",
"uid": "mmlu_clinical_knowledge_generative_spanish__6f103040__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\": \"mmlu_college_biology__5f8fcd7e__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 793.972765279777, \"nll_base\": 6.677049160003662, \"eval_ref\": \"mmlu_college_biology__5f8fcd7e__s000__tb262144__v000\", \"oracle_delta\": 1... | {
"index": "mmlu_college_biology__5f8fcd7e__s000__tb262144__v000",
"uid": "mmlu_college_biology__5f8fcd7e__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\": \"mmlu_college_biology_generative__e16eb2b8__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 995.6541360389883, \"nll_base\": 6.90339994430542, \"eval_ref\": \"mmlu_college_biology_generative__e16eb2b8__s000__tb262144__v000\... | {
"index": "mmlu_college_biology_generative__e16eb2b8__s000__tb262144__v000",
"uid": "mmlu_college_biology_generative__e16eb2b8__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\": \"mmlu_college_biology_generative__e16eb2b8__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 995.6541360389883, \"nll_base\": 6.90339994430542, \"eval_ref\": \"mmlu_college_biology_generative__e16eb2b8__s000__tb65536__v001\", ... | {
"index": "mmlu_college_biology_generative__e16eb2b8__s000__tb65536__v001",
"uid": "mmlu_college_biology_generative__e16eb2b8__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\": \"mmlu_college_biology_generative_spanish__086a0865__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3321.6177781411175, \"nll_base\": 8.10820722579956, \"eval_ref\": \"mmlu_college_biology_generative_spanish__086a0865__s000... | {
"index": "mmlu_college_biology_generative_spanish__086a0865__s000__tb262144__v000",
"uid": "mmlu_college_biology_generative_spanish__086a0865__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\": \"mmlu_college_chemistry__1df32180__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1423.6030182738994, \"nll_base\": 7.260946273803711, \"eval_ref\": \"mmlu_college_chemistry__1df32180__s000__tb65536__v000\", \"oracle_delta\"... | {
"index": "mmlu_college_chemistry__1df32180__s000__tb65536__v000",
"uid": "mmlu_college_chemistry__1df32180__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\": \"mmlu_college_chemistry_continuation__fa4e3a94__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6.86469706550874, \"nll_base\": 1.9263919108622782, \"eval_ref\": \"mmlu_college_chemistry_continuation__fa4e3a94__s000__tb1310... | {
"index": "mmlu_college_chemistry_continuation__fa4e3a94__s000__tb131072__v000",
"uid": "mmlu_college_chemistry_continuation__fa4e3a94__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\": \"mmlu_college_chemistry_generative__f9dd508b__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 999.5388623324209, \"nll_base\": 6.907294034957886, \"eval_ref\": \"mmlu_college_chemistry_generative__f9dd508b__s000__tb65536__v00... | {
"index": "mmlu_college_chemistry_generative__f9dd508b__s000__tb65536__v001",
"uid": "mmlu_college_chemistry_generative__f9dd508b__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\": \"mmlu_college_chemistry_generative_spanish__e7551dec__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4657.711563736611, \"nll_base\": 8.446279525756836, \"eval_ref\": \"mmlu_college_chemistry_generative_spanish__e7551dec__... | {
"index": "mmlu_college_chemistry_generative_spanish__e7551dec__s000__tb262144__v000",
"uid": "mmlu_college_chemistry_generative_spanish__e7551dec__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\": \"mmlu_college_chemistry_generative_spanish__e7551dec__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4657.711563736611, \"nll_base\": 8.446279525756836, \"eval_ref\": \"mmlu_college_chemistry_generative_spanish__e7551dec__s0... | {
"index": "mmlu_college_chemistry_generative_spanish__e7551dec__s000__tb65536__v001",
"uid": "mmlu_college_chemistry_generative_spanish__e7551dec__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\": \"mmlu_college_computer_science_generative_spanish__0092fcd0__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2765.1224864391947, \"nll_base\": 7.924840211868286, \"eval_ref\": \"mmlu_college_computer_science_generative_span... | {
"index": "mmlu_college_computer_science_generative_spanish__0092fcd0__s000__tb262144__v000",
"uid": "mmlu_college_computer_science_generative_spanish__0092fcd0__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\": \"mmlu_college_mathematics__9c331d75__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 781.392433559679, \"nll_base\": 6.661077499389648, \"eval_ref\": \"mmlu_college_mathematics__9c331d75__s000__tb131072__v000\", \"oracle_de... | {
"index": "mmlu_college_mathematics__9c331d75__s000__tb131072__v000",
"uid": "mmlu_college_mathematics__9c331d75__s000__tb131072__v000",
"axis": "knowledge",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
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