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_de__11084541__s015__tb65536__v045\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2035.3998442646714, \"nll_base\": 7.618447562244451, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s015__tb65536__v045\", \"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s015__tb65536__v045",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s016__tb131072__v049\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2401.400464551492, \"nll_base\": 7.783807373046875, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s016__tb131072__v049\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s016__tb131072__v049",
"uid": "lambada_openai_mt_stablelm_de__11084541__s016__tb131072__v049",
"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_de__11084541__s016__tb262144__v050\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2401.400464551492, \"nll_base\": 7.783807373046875, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s016__tb262144__v050\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s016__tb262144__v050",
"uid": "lambada_openai_mt_stablelm_de__11084541__s016__tb262144__v050",
"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_de__11084541__s016__tb65536__v048\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2401.400464551492, \"nll_base\": 7.783807373046875, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s016__tb65536__v048\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s016__tb65536__v048",
"uid": "lambada_openai_mt_stablelm_de__11084541__s016__tb65536__v048",
"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_de__11084541__s017__tb131072__v052\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1920.8260057316013, \"nll_base\": 7.560510583826013, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s017__tb131072__v052\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s017__tb131072__v052",
"uid": "lambada_openai_mt_stablelm_de__11084541__s017__tb131072__v052",
"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_de__11084541__s017__tb262144__v053\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1920.8260057316013, \"nll_base\": 7.560510583826013, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s017__tb262144__v053\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s017__tb262144__v053",
"uid": "lambada_openai_mt_stablelm_de__11084541__s017__tb262144__v053",
"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_de__11084541__s017__tb65536__v051\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1920.8260057316013, \"nll_base\": 7.560510583826013, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s017__tb65536__v051\", \"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s017__tb65536__v051",
"uid": "lambada_openai_mt_stablelm_de__11084541__s017__tb65536__v051",
"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_de__11084541__s018__tb131072__v055\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1869.8516017846011, \"nll_base\": 7.5336143493652346, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s018__tb131072__v055\"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s018__tb131072__v055",
"uid": "lambada_openai_mt_stablelm_de__11084541__s018__tb131072__v055",
"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_de__11084541__s018__tb262144__v056\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1869.8516017846011, \"nll_base\": 7.5336143493652346, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s018__tb262144__v056\"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s018__tb262144__v056",
"uid": "lambada_openai_mt_stablelm_de__11084541__s018__tb262144__v056",
"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_de__11084541__s018__tb65536__v054\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1869.8516017846011, \"nll_base\": 7.5336143493652346, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s018__tb65536__v054\", \... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s018__tb65536__v054",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s019__tb131072__v058\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2091.330051641516, \"nll_base\": 7.645555530894886, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s019__tb131072__v058\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s019__tb131072__v058",
"uid": "lambada_openai_mt_stablelm_de__11084541__s019__tb131072__v058",
"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_de__11084541__s019__tb65536__v057\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2091.330051641516, \"nll_base\": 7.645555530894886, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s019__tb65536__v057\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s019__tb65536__v057",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_en__1cca186a__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 33884.58031861122, \"nll_base\": 10.43071533203125, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s000__tb131072__v002\", ... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s000__tb131072__v002",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s000__tb131072__v002",
"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_en__1cca186a__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 33884.58031861122, \"nll_base\": 10.43071533203125, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s000__tb262144__v000\", ... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s000__tb262144__v000",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s000__tb262144__v000",
"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_en__1cca186a__s002__tb131072__v008\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 15381.252552421805, \"nll_base\": 9.64090468008307, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s002__tb131072__v008\", ... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s002__tb131072__v008",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s002__tb131072__v008",
"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_en__1cca186a__s002__tb262144__v006\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 15381.252552421805, \"nll_base\": 9.64090468008307, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s002__tb262144__v006\", ... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s002__tb262144__v006",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s002__tb262144__v006",
"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_en__1cca186a__s005__tb131072__v017\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 25885.59593824333, \"nll_base\": 10.161441951603084, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s005__tb131072__v017\",... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s005__tb131072__v017",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s005__tb131072__v017",
"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_en__1cca186a__s005__tb262144__v015\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 25885.59593824333, \"nll_base\": 10.161441951603084, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s005__tb262144__v015\",... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s005__tb262144__v015",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s005__tb262144__v015",
"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_en__1cca186a__s006__tb131072__v020\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 19844.359588809737, \"nll_base\": 9.895675094039351, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s006__tb131072__v020\",... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s006__tb131072__v020",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s006__tb131072__v020",
"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_en__1cca186a__s006__tb262144__v018\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 19844.359588809737, \"nll_base\": 9.895675094039351, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s006__tb262144__v018\",... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s006__tb262144__v018",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s006__tb262144__v018",
"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_en__1cca186a__s006__tb65536__v019\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 19844.359588809737, \"nll_base\": 9.895675094039351, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s006__tb65536__v019\", \"... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s006__tb65536__v019",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s006__tb65536__v019",
"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_en__1cca186a__s009__tb131072__v029\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 79901.21036375256, \"nll_base\": 11.288546280122139, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s009__tb131072__v029\",... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s009__tb131072__v029",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s009__tb131072__v029",
"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_en__1cca186a__s009__tb262144__v027\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 79901.21036375256, \"nll_base\": 11.288546280122139, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s009__tb262144__v027\",... | {
"index": "lambada_openai_mt_stablelm_en__1cca186a__s009__tb262144__v027",
"uid": "lambada_openai_mt_stablelm_en__1cca186a__s009__tb262144__v027",
"axis": "multilingual_ppl",
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datacuration | [
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"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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"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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"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"
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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",
"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_en__1cca186a__s014__tb65536__v043\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 26891.50823048215, \"nll_base\": 10.199565836588542, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s014__tb65536__v043\", \"... | {
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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_en__1cca186a__s016__tb131072__v050\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 18155.72127474596, \"nll_base\": 9.806741011770148, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s016__tb131072__v050\", ... | {
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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",
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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_en__1cca186a__s016__tb65536__v049\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 18155.72127474596, \"nll_base\": 9.806741011770148, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s016__tb65536__v049\", \"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_en__1cca186a__s017__tb262144__v051\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 114905.58654197231, \"nll_base\": 11.651866083559783, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s017__tb262144__v051\"... | {
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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_en__1cca186a__s019__tb262144__v057\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 56298.833283769745, \"nll_base\": 10.938429090711805, \"eval_ref\": \"lambada_openai_mt_stablelm_en__1cca186a__s019__tb262144__v057\"... | {
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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_es__aecb9487__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3269.298270600144, \"nll_base\": 8.092330644715506, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s000__tb131072__v000\", ... | {
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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_es__aecb9487__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3269.298270600144, \"nll_base\": 8.092330644715506, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s000__tb262144__v001\", ... | {
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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_es__aecb9487__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3269.298270600144, \"nll_base\": 8.092330644715506, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s000__tb65536__v002\", \"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_es__aecb9487__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2273.3074051461404, \"nll_base\": 7.728991056743421, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s001__tb131072__v003\",... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s001__tb131072__v003",
"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_es__aecb9487__s001__tb262144__v004\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2273.3074051461404, \"nll_base\": 7.728991056743421, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s001__tb262144__v004\",... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s001__tb262144__v004",
"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_es__aecb9487__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2273.3074051461404, \"nll_base\": 7.728991056743421, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s001__tb65536__v005\", \"... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s001__tb65536__v005",
"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",
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
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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 | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
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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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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training 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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"axis": "multilingual_ppl",
"budget": 2048,
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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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"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 | {
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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"
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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"
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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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"token_budget": 131072,
"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"
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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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"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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"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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"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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"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",
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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",
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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",
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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",
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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",
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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_es__aecb9487__s013__tb131072__v039\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2379.7001723307394, \"nll_base\": 7.77472978071733, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s013__tb131072__v039\", ... | {
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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_es__aecb9487__s013__tb262144__v040\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2379.7001723307394, \"nll_base\": 7.77472978071733, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s013__tb262144__v040\", ... | {
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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_es__aecb9487__s013__tb65536__v041\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2379.7001723307394, \"nll_base\": 7.77472978071733, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s013__tb65536__v041\", \"o... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s013__tb65536__v041",
"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_es__aecb9487__s014__tb131072__v042\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1868.570061288748, \"nll_base\": 7.5329287442294035, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s014__tb131072__v042\",... | {
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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_es__aecb9487__s014__tb262144__v043\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1868.570061288748, \"nll_base\": 7.5329287442294035, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s014__tb262144__v043\",... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s014__tb262144__v043",
"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_es__aecb9487__s014__tb65536__v044\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1868.570061288748, \"nll_base\": 7.5329287442294035, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s014__tb65536__v044\", \"... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s014__tb65536__v044",
"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_es__aecb9487__s015__tb131072__v045\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2052.0758583848624, \"nll_base\": 7.626607173631172, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s015__tb131072__v045\",... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s015__tb131072__v045",
"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_es__aecb9487__s015__tb262144__v046\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2052.0758583848624, \"nll_base\": 7.626607173631172, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s015__tb262144__v046\",... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s015__tb262144__v046",
"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_es__aecb9487__s015__tb65536__v047\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2052.0758583848624, \"nll_base\": 7.626607173631172, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s015__tb65536__v047\", \"... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s015__tb65536__v047",
"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_es__aecb9487__s016__tb131072__v048\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3313.239922503803, \"nll_base\": 8.105681818181818, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s016__tb131072__v048\", ... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s016__tb131072__v048",
"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_es__aecb9487__s016__tb262144__v049\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3313.239922503803, \"nll_base\": 8.105681818181818, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s016__tb262144__v049\", ... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s016__tb262144__v049",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s016__tb262144__v049",
"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_es__aecb9487__s016__tb65536__v050\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3313.239922503803, \"nll_base\": 8.105681818181818, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s016__tb65536__v050\", \"o... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s016__tb65536__v050",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s016__tb65536__v050",
"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_es__aecb9487__s017__tb131072__v051\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4590.609734941979, \"nll_base\": 8.431768134088799, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s017__tb131072__v051\", ... | {
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"uid": "lambada_openai_mt_stablelm_es__aecb9487__s017__tb131072__v051",
"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_es__aecb9487__s017__tb262144__v052\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4590.609734941979, \"nll_base\": 8.431768134088799, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s017__tb262144__v052\", ... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s017__tb262144__v052",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s017__tb262144__v052",
"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_es__aecb9487__s017__tb65536__v053\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4590.609734941979, \"nll_base\": 8.431768134088799, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s017__tb65536__v053\", \"o... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s017__tb65536__v053",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s017__tb65536__v053",
"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_es__aecb9487__s018__tb131072__v054\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3463.7866532006988, \"nll_base\": 8.150117678062939, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s018__tb131072__v054\",... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s018__tb131072__v054",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s018__tb131072__v054",
"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_es__aecb9487__s018__tb262144__v055\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3463.7866532006988, \"nll_base\": 8.150117678062939, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s018__tb262144__v055\",... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s018__tb262144__v055",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s018__tb262144__v055",
"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_es__aecb9487__s018__tb65536__v056\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3463.7866532006988, \"nll_base\": 8.150117678062939, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s018__tb65536__v056\", \"... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s018__tb65536__v056",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s018__tb65536__v056",
"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_es__aecb9487__s019__tb131072__v057\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3330.7554642461128, \"nll_base\": 8.110954423384232, \"eval_ref\": \"lambada_openai_mt_stablelm_es__aecb9487__s019__tb131072__v057\",... | {
"index": "lambada_openai_mt_stablelm_es__aecb9487__s019__tb131072__v057",
"uid": "lambada_openai_mt_stablelm_es__aecb9487__s019__tb131072__v057",
"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__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5941.273421611535, \"nll_base\": 8.689678770123106, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb131072__v001\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb131072__v001",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__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_fr__ddbab25c__s000__tb262144__v002\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 5941.273421611535, \"nll_base\": 8.689678770123106, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb262144__v002\", ... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb262144__v002",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__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_fr__ddbab25c__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5941.273421611535, \"nll_base\": 8.689678770123106, \"eval_ref\": \"lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb65536__v000\", \"o... | {
"index": "lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb65536__v000",
"uid": "lambada_openai_mt_stablelm_fr__ddbab25c__s000__tb65536__v000",
"axis": "multilingual_ppl",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
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