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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb131072__v004\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4494.842106154521, \"nll_base\": 8.41068581973805, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb131072__v004\", \... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb131072__v004",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb131072__v004",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb262144__v005\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4494.842106154521, \"nll_base\": 8.41068581973805, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb262144__v005\", \... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb262144__v005",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb262144__v005",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4494.842106154521, \"nll_base\": 8.41068581973805, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb65536__v003\", \"or... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb65536__v003",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s001__tb65536__v003",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3583.851160475203, \"nll_base\": 8.184193244347206, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb131072__v007\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb131072__v007",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb131072__v007",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb262144__v008\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3583.851160475203, \"nll_base\": 8.184193244347206, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb262144__v008\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb262144__v008",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb262144__v008",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3583.851160475203, \"nll_base\": 8.184193244347206, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb65536__v006\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb65536__v006",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s002__tb65536__v006",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb131072__v010\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2672.903845730397, \"nll_base\": 7.890920743075284, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb131072__v010\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb131072__v010",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb131072__v010",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb262144__v011\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2672.903845730397, \"nll_base\": 7.890920743075284, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb262144__v011\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb262144__v011",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb262144__v011",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb65536__v009\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2672.903845730397, \"nll_base\": 7.890920743075284, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb65536__v009\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb65536__v009",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s003__tb65536__v009",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb131072__v013\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4467.750662473236, \"nll_base\": 8.404640353455836, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb131072__v013\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb131072__v013",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb131072__v013",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb262144__v014\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4467.750662473236, \"nll_base\": 8.404640353455836, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb262144__v014\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb262144__v014",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb262144__v014",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb65536__v012\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4467.750662473236, \"nll_base\": 8.404640353455836, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb65536__v012\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb65536__v012",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s004__tb65536__v012",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb131072__v016\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 10050.04471732911, \"nll_base\": 9.215332362962807, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb131072__v016\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb131072__v016",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb131072__v016",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb262144__v017\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 10050.04471732911, \"nll_base\": 9.215332362962807, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb262144__v017\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb262144__v017",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb262144__v017",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb65536__v015\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 10050.04471732911, \"nll_base\": 9.215332362962807, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb65536__v015\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb65536__v015",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s005__tb65536__v015",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb131072__v019\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3762.6854000117437, \"nll_base\": 8.23288818359375, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb131072__v019\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb131072__v019",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb131072__v019",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb262144__v020\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3762.6854000117437, \"nll_base\": 8.23288818359375, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb262144__v020\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb262144__v020",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb262144__v020",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb65536__v018\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3762.6854000117437, \"nll_base\": 8.23288818359375, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb65536__v018\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb65536__v018",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s006__tb65536__v018",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb131072__v022\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3756.9490310040815, \"nll_base\": 8.231362479073661, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb131072__v022\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb131072__v022",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb131072__v022",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb262144__v023\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3756.9490310040815, \"nll_base\": 8.231362479073661, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb262144__v023\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb262144__v023",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb262144__v023",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb65536__v021\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3756.9490310040815, \"nll_base\": 8.231362479073661, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb65536__v021\", \"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb65536__v021",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s007__tb65536__v021",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb131072__v025\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1849.0820540275474, \"nll_base\": 7.522444607918723, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb131072__v025\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb131072__v025",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb131072__v025",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb262144__v026\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1849.0820540275474, \"nll_base\": 7.522444607918723, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb262144__v026\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb262144__v026",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s008__tb262144__v026",
"axis": "multilingual_ppl",
"budget": 2048,
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} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s009__tb262144__v029\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1907.9809812229507, \"nll_base\": 7.553800884046052, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s009__tb262144__v029\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s009__tb65536__v027\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1907.9809812229507, \"nll_base\": 7.553800884046052, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s009__tb65536__v027\", \"... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb131072__v031\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2848.7758719028197, \"nll_base\": 7.954644662362558, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb131072__v031\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb262144__v032\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2848.7758719028197, \"nll_base\": 7.954644662362558, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb262144__v032\",... | {
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"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb262144__v032",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb65536__v030\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2848.7758719028197, \"nll_base\": 7.954644662362558, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb65536__v030\", \"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb65536__v030",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s010__tb65536__v030",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb131072__v034\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2506.6805657026594, \"nll_base\": 7.826714673088592, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb131072__v034\",... | {
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"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb131072__v034",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb262144__v035\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2506.6805657026594, \"nll_base\": 7.826714673088592, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb262144__v035\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb262144__v035",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb262144__v035",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb65536__v033\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2506.6805657026594, \"nll_base\": 7.826714673088592, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb65536__v033\", \"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb65536__v033",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s011__tb65536__v033",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb131072__v037\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1931.3641097569675, \"nll_base\": 7.5659818248588495, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb131072__v037\"... | {
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"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb131072__v037",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb262144__v038\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1931.3641097569675, \"nll_base\": 7.5659818248588495, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb262144__v038\"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb262144__v038",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb262144__v038",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb65536__v036\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1931.3641097569675, \"nll_base\": 7.5659818248588495, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb65536__v036\", \... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb65536__v036",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s012__tb65536__v036",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb131072__v040\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2954.2660717694366, \"nll_base\": 7.991005530724158, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb131072__v040\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb131072__v040",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb131072__v040",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb262144__v041\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2954.2660717694366, \"nll_base\": 7.991005530724158, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb262144__v041\",... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb262144__v041",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb262144__v041",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb65536__v039\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2954.2660717694366, \"nll_base\": 7.991005530724158, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb65536__v039\", \"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb65536__v039",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s013__tb65536__v039",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb131072__v043\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4005.248037638981, \"nll_base\": 8.295360789579505, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb131072__v043\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb131072__v043",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb131072__v043",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb262144__v044\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4005.248037638981, \"nll_base\": 8.295360789579505, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb262144__v044\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb262144__v044",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb262144__v044",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb65536__v042\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4005.248037638981, \"nll_base\": 8.295360789579505, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb65536__v042\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb65536__v042",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s014__tb65536__v042",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb131072__v046\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1787.5701332469002, \"nll_base\": 7.4886125091813565, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb131072__v046\"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb131072__v046",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb131072__v046",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb262144__v047\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1787.5701332469002, \"nll_base\": 7.4886125091813565, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb262144__v047\"... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb262144__v047",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb262144__v047",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb65536__v045\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1787.5701332469002, \"nll_base\": 7.4886125091813565, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb65536__v045\", \... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb65536__v045",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s015__tb65536__v045",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s016__tb131072__v049\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4301.080568492511, \"nll_base\": 8.366621565110613, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s016__tb131072__v049\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s016__tb131072__v049",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s016__tb131072__v049",
"axis": "multilingual_ppl",
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datacuration | [
{
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"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s017__tb131072__v052\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2780.9650729735786, \"nll_base\": 7.930553294994213, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s017__tb131072__v052\",... | {
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s017__tb65536__v051\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2780.9650729735786, \"nll_base\": 7.930553294994213, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s017__tb65536__v051\", \"... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb131072__v055\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4389.194297450948, \"nll_base\": 8.386900957892923, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb131072__v055\", ... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb262144__v056\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4389.194297450948, \"nll_base\": 8.386900957892923, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb262144__v056\", ... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb65536__v054\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4389.194297450948, \"nll_base\": 8.386900957892923, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb65536__v054\", \"o... | {
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"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s018__tb65536__v054",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s019__tb131072__v058\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1395.9315132722368, \"nll_base\": 7.241317222858298, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s019__tb131072__v058\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s019__tb65536__v057\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1395.9315132722368, \"nll_base\": 7.241317222858298, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s019__tb65536__v057\", \"... | {
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"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s019__tb65536__v057",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2816.2321175190095, \"nll_base\": 7.943155141977163, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s000__tb131072__v001\",... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s000__tb131072__v001",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s000__tb262144__v002\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2816.2321175190095, \"nll_base\": 7.943155141977163, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s000__tb262144__v002\",... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s000__tb262144__v002",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2816.2321175190095, \"nll_base\": 7.943155141977163, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s000__tb65536__v000\", \"... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s000__tb65536__v000",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s001__tb131072__v004\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1638.228906483673, \"nll_base\": 7.401371002197266, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s001__tb131072__v004\", ... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s001__tb131072__v004",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s001__tb262144__v005\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1638.228906483673, \"nll_base\": 7.401371002197266, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s001__tb262144__v005\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s001__tb262144__v005",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s001__tb262144__v005",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1638.228906483673, \"nll_base\": 7.401371002197266, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s001__tb65536__v003\", \"o... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s001__tb65536__v003",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2866.363573676768, \"nll_base\": 7.960799457870912, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s002__tb131072__v007\", ... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s002__tb131072__v007",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s002__tb262144__v008\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2866.363573676768, \"nll_base\": 7.960799457870912, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s002__tb262144__v008\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s002__tb262144__v008",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s002__tb262144__v008",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2866.363573676768, \"nll_base\": 7.960799457870912, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s002__tb65536__v006\", \"o... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s002__tb65536__v006",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s002__tb65536__v006",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s003__tb131072__v010\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1930.1791520309632, \"nll_base\": 7.5653681024774775, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s003__tb131072__v010\"... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s003__tb131072__v010",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s003__tb131072__v010",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s003__tb262144__v011\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1930.1791520309632, \"nll_base\": 7.5653681024774775, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s003__tb262144__v011\"... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s003__tb262144__v011",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s003__tb262144__v011",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s003__tb65536__v009\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1930.1791520309632, \"nll_base\": 7.5653681024774775, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s003__tb65536__v009\", \... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s003__tb65536__v009",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s003__tb65536__v009",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s004__tb131072__v013\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2221.754800920891, \"nll_base\": 7.706052613489836, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s004__tb131072__v013\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s004__tb131072__v013",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s004__tb131072__v013",
"axis": "multilingual_ppl",
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datacuration | [
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training 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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"axis": "multilingual_ppl",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "multilingual_ppl",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "multilingual_ppl",
"budget": 2048,
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s006__tb65536__v018\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4581.298066583714, \"nll_base\": 8.429737657603651, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s006__tb65536__v018\", \"o... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s007__tb131072__v022\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4759.252410226889, \"nll_base\": 8.467845878215751, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s007__tb131072__v022\", ... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s007__tb262144__v023\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4759.252410226889, \"nll_base\": 8.467845878215751, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s007__tb262144__v023\", ... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s007__tb65536__v021\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4759.252410226889, \"nll_base\": 8.467845878215751, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s007__tb65536__v021\", \"o... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s008__tb131072__v025\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1932.5052519204594, \"nll_base\": 7.566572498139881, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s008__tb131072__v025\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s008__tb262144__v026\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1932.5052519204594, \"nll_base\": 7.566572498139881, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s008__tb262144__v026\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s008__tb65536__v024\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1932.5052519204594, \"nll_base\": 7.566572498139881, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s008__tb65536__v024\", \"... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s009__tb131072__v028\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2006.9405486216913, \"nll_base\": 7.604366726345486, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s009__tb131072__v028\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s009__tb262144__v029\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2006.9405486216913, \"nll_base\": 7.604366726345486, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s009__tb262144__v029\",... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s009__tb65536__v027\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2006.9405486216913, \"nll_base\": 7.604366726345486, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s009__tb65536__v027\", \"... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s010__tb131072__v031\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5508.726042739464, \"nll_base\": 8.614088667199967, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s010__tb131072__v031\", ... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s010__tb262144__v032\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 5508.726042739464, \"nll_base\": 8.614088667199967, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s010__tb262144__v032\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s010__tb262144__v032",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s010__tb262144__v032",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s010__tb65536__v030\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5508.726042739464, \"nll_base\": 8.614088667199967, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s010__tb65536__v030\", \"o... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s010__tb65536__v030",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s010__tb65536__v030",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s011__tb131072__v034\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2234.697191881553, \"nll_base\": 7.711861013252045, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s011__tb131072__v034\", ... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s011__tb131072__v034",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s011__tb262144__v035\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2234.697191881553, \"nll_base\": 7.711861013252045, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s011__tb262144__v035\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s011__tb262144__v035",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s011__tb262144__v035",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s011__tb65536__v033\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2234.697191881553, \"nll_base\": 7.711861013252045, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s011__tb65536__v033\", \"o... | {
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"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s011__tb65536__v033",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s012__tb131072__v037\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2138.932310879119, \"nll_base\": 7.668062063363882, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s012__tb131072__v037\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s012__tb131072__v037",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s012__tb131072__v037",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s012__tb262144__v038\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2138.932310879119, \"nll_base\": 7.668062063363882, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s012__tb262144__v038\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s012__tb262144__v038",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s012__tb262144__v038",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s012__tb65536__v036\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2138.932310879119, \"nll_base\": 7.668062063363882, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s012__tb65536__v036\", \"o... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s012__tb65536__v036",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s012__tb65536__v036",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s013__tb131072__v040\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4465.943761997418, \"nll_base\": 8.40423583984375, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s013__tb131072__v040\", \... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s013__tb131072__v040",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s013__tb131072__v040",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s013__tb262144__v041\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4465.943761997418, \"nll_base\": 8.40423583984375, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s013__tb262144__v041\", \... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s013__tb262144__v041",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s013__tb262144__v041",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s013__tb65536__v039\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4465.943761997418, \"nll_base\": 8.40423583984375, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s013__tb65536__v039\", \"or... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s013__tb65536__v039",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s013__tb65536__v039",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s014__tb131072__v043\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 8759.700694663114, \"nll_base\": 9.077917016070822, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s014__tb131072__v043\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s014__tb131072__v043",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s014__tb131072__v043",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_stablelm_pt__e348cb41__s014__tb262144__v044\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 8759.700694663114, \"nll_base\": 9.077917016070822, \"eval_ref\": \"lambada_openai_mt_stablelm_pt__e348cb41__s014__tb262144__v044\", ... | {
"index": "lambada_openai_mt_stablelm_pt__e348cb41__s014__tb262144__v044",
"uid": "lambada_openai_mt_stablelm_pt__e348cb41__s014__tb262144__v044",
"axis": "multilingual_ppl",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
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