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_it__1a798b96__s001__tb65536__v004\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3991.785129772483, \"nll_base\": 8.291993810775432, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s001__tb65536__v004\", \"oracle_delta\": 0.3... | {
"index": "lambada_openai_mt_it__1a798b96__s001__tb65536__v004",
"uid": "lambada_openai_mt_it__1a798b96__s001__tb65536__v004",
"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_it__1a798b96__s002__tb131072__v008\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1762.1613496790662, \"nll_base\": 7.474296374198718, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s002__tb131072__v008\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_it__1a798b96__s002__tb131072__v008",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s002__tb262144__v006\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1762.1613496790662, \"nll_base\": 7.474296374198718, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s002__tb262144__v006\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_it__1a798b96__s002__tb262144__v006",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s002__tb65536__v007\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1762.1613496790662, \"nll_base\": 7.474296374198718, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s002__tb65536__v007\", \"oracle_delta\": 0.... | {
"index": "lambada_openai_mt_it__1a798b96__s002__tb65536__v007",
"uid": "lambada_openai_mt_it__1a798b96__s002__tb65536__v007",
"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_it__1a798b96__s003__tb131072__v011\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3255.947649057793, \"nll_base\": 8.08823864869397, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s003__tb131072__v011\", \"oracle_delta\": 0... | {
"index": "lambada_openai_mt_it__1a798b96__s003__tb131072__v011",
"uid": "lambada_openai_mt_it__1a798b96__s003__tb131072__v011",
"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_it__1a798b96__s003__tb262144__v009\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3255.947649057793, \"nll_base\": 8.08823864869397, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s003__tb262144__v009\", \"oracle_delta\": 1... | {
"index": "lambada_openai_mt_it__1a798b96__s003__tb262144__v009",
"uid": "lambada_openai_mt_it__1a798b96__s003__tb262144__v009",
"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_it__1a798b96__s003__tb65536__v010\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3255.947649057793, \"nll_base\": 8.08823864869397, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s003__tb65536__v010\", \"oracle_delta\": 0.38... | {
"index": "lambada_openai_mt_it__1a798b96__s003__tb65536__v010",
"uid": "lambada_openai_mt_it__1a798b96__s003__tb65536__v010",
"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_it__1a798b96__s004__tb131072__v014\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1939.863667688589, \"nll_base\": 7.570372975200688, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s004__tb131072__v014\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s004__tb131072__v014",
"uid": "lambada_openai_mt_it__1a798b96__s004__tb131072__v014",
"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_it__1a798b96__s004__tb262144__v012\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1939.863667688589, \"nll_base\": 7.570372975200688, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s004__tb262144__v012\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s004__tb262144__v012",
"uid": "lambada_openai_mt_it__1a798b96__s004__tb262144__v012",
"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_it__1a798b96__s004__tb65536__v013\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1939.863667688589, \"nll_base\": 7.570372975200688, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s004__tb65536__v013\", \"oracle_delta\": 0.2... | {
"index": "lambada_openai_mt_it__1a798b96__s004__tb65536__v013",
"uid": "lambada_openai_mt_it__1a798b96__s004__tb65536__v013",
"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_it__1a798b96__s005__tb131072__v017\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4205.8089049355, \"nll_base\": 8.344221921311211, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s005__tb131072__v017\", \"oracle_delta\": 0.... | {
"index": "lambada_openai_mt_it__1a798b96__s005__tb131072__v017",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s005__tb262144__v015\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4205.8089049355, \"nll_base\": 8.344221921311211, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s005__tb262144__v015\", \"oracle_delta\": 1.... | {
"index": "lambada_openai_mt_it__1a798b96__s005__tb262144__v015",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s005__tb65536__v016\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4205.8089049355, \"nll_base\": 8.344221921311211, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s005__tb65536__v016\", \"oracle_delta\": 0.316... | {
"index": "lambada_openai_mt_it__1a798b96__s005__tb65536__v016",
"uid": "lambada_openai_mt_it__1a798b96__s005__tb65536__v016",
"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_it__1a798b96__s006__tb131072__v020\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2503.5158665890026, \"nll_base\": 7.825451369512649, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s006__tb131072__v020\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_it__1a798b96__s006__tb131072__v020",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s006__tb262144__v018\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2503.5158665890026, \"nll_base\": 7.825451369512649, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s006__tb262144__v018\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_it__1a798b96__s006__tb262144__v018",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s006__tb65536__v019\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2503.5158665890026, \"nll_base\": 7.825451369512649, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s006__tb65536__v019\", \"oracle_delta\": 0.... | {
"index": "lambada_openai_mt_it__1a798b96__s006__tb65536__v019",
"uid": "lambada_openai_mt_it__1a798b96__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_it__1a798b96__s007__tb131072__v023\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5266.289407020804, \"nll_base\": 8.569081296202956, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s007__tb131072__v023\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s007__tb131072__v023",
"uid": "lambada_openai_mt_it__1a798b96__s007__tb131072__v023",
"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_it__1a798b96__s007__tb262144__v021\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 5266.289407020804, \"nll_base\": 8.569081296202956, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s007__tb262144__v021\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s007__tb262144__v021",
"uid": "lambada_openai_mt_it__1a798b96__s007__tb262144__v021",
"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_it__1a798b96__s007__tb65536__v022\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5266.289407020804, \"nll_base\": 8.569081296202956, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s007__tb65536__v022\", \"oracle_delta\": 0.3... | {
"index": "lambada_openai_mt_it__1a798b96__s007__tb65536__v022",
"uid": "lambada_openai_mt_it__1a798b96__s007__tb65536__v022",
"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_it__1a798b96__s008__tb131072__v026\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3096.4950920485862, \"nll_base\": 8.03802613537721, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s008__tb131072__v026\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s008__tb131072__v026",
"uid": "lambada_openai_mt_it__1a798b96__s008__tb131072__v026",
"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_it__1a798b96__s008__tb262144__v024\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3096.4950920485862, \"nll_base\": 8.03802613537721, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s008__tb262144__v024\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s008__tb262144__v024",
"uid": "lambada_openai_mt_it__1a798b96__s008__tb262144__v024",
"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_it__1a798b96__s008__tb65536__v025\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3096.4950920485862, \"nll_base\": 8.03802613537721, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s008__tb65536__v025\", \"oracle_delta\": 0.3... | {
"index": "lambada_openai_mt_it__1a798b96__s008__tb65536__v025",
"uid": "lambada_openai_mt_it__1a798b96__s008__tb65536__v025",
"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_it__1a798b96__s009__tb131072__v029\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6749.197868396281, \"nll_base\": 8.817178942493557, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s009__tb131072__v029\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s009__tb131072__v029",
"uid": "lambada_openai_mt_it__1a798b96__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 | {
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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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"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",
"ground_truth": "{\"task_id\": \"lambada_openai_mt_it__1a798b96__s010__tb65536__v031\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5163.9938896058475, \"nll_base\": 8.549465568698182, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s010__tb65536__v031\", \"oracle_delta\": 0.... | {
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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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"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_it__1a798b96__s011__tb262144__v033\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2635.1672774321773, \"nll_base\": 7.876701941856971, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s011__tb262144__v033\", \"oracle_delta\":... | {
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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_it__1a798b96__s011__tb65536__v034\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2635.1672774321773, \"nll_base\": 7.876701941856971, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s011__tb65536__v034\", \"oracle_delta\": 0.... | {
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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_it__1a798b96__s012__tb131072__v038\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2902.099566520956, \"nll_base\": 7.973189742476852, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s012__tb131072__v038\", \"oracle_delta\": ... | {
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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_it__1a798b96__s012__tb262144__v036\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2902.099566520956, \"nll_base\": 7.973189742476852, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s012__tb262144__v036\", \"oracle_delta\": ... | {
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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_it__1a798b96__s012__tb65536__v037\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2902.099566520956, \"nll_base\": 7.973189742476852, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s012__tb65536__v037\", \"oracle_delta\": 0.2... | {
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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_it__1a798b96__s013__tb131072__v041\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6224.7869346600455, \"nll_base\": 8.73629449338329, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s013__tb131072__v041\", \"oracle_delta\": ... | {
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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_it__1a798b96__s013__tb262144__v039\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 6224.7869346600455, \"nll_base\": 8.73629449338329, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s013__tb262144__v039\", \"oracle_delta\": ... | {
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"uid": "lambada_openai_mt_it__1a798b96__s013__tb262144__v039",
"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_it__1a798b96__s013__tb65536__v040\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6224.7869346600455, \"nll_base\": 8.73629449338329, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s013__tb65536__v040\", \"oracle_delta\": 0.3... | {
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"uid": "lambada_openai_mt_it__1a798b96__s013__tb65536__v040",
"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_it__1a798b96__s014__tb131072__v044\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3974.1501076402033, \"nll_base\": 8.287566194829253, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s014__tb131072__v044\", \"oracle_delta\":... | {
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"uid": "lambada_openai_mt_it__1a798b96__s014__tb131072__v044",
"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_it__1a798b96__s014__tb262144__v042\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3974.1501076402033, \"nll_base\": 8.287566194829253, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s014__tb262144__v042\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_it__1a798b96__s014__tb262144__v042",
"uid": "lambada_openai_mt_it__1a798b96__s014__tb262144__v042",
"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_it__1a798b96__s014__tb65536__v043\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3974.1501076402033, \"nll_base\": 8.287566194829253, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s014__tb65536__v043\", \"oracle_delta\": 0.... | {
"index": "lambada_openai_mt_it__1a798b96__s014__tb65536__v043",
"uid": "lambada_openai_mt_it__1a798b96__s014__tb65536__v043",
"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_it__1a798b96__s015__tb131072__v047\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2137.702321571075, \"nll_base\": 7.667486849698153, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s015__tb131072__v047\", \"oracle_delta\": ... | {
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"uid": "lambada_openai_mt_it__1a798b96__s015__tb131072__v047",
"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_it__1a798b96__s015__tb262144__v045\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2137.702321571075, \"nll_base\": 7.667486849698153, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s015__tb262144__v045\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s015__tb262144__v045",
"uid": "lambada_openai_mt_it__1a798b96__s015__tb262144__v045",
"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_it__1a798b96__s015__tb65536__v046\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2137.702321571075, \"nll_base\": 7.667486849698153, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s015__tb65536__v046\", \"oracle_delta\": 0.2... | {
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"uid": "lambada_openai_mt_it__1a798b96__s015__tb65536__v046",
"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_it__1a798b96__s016__tb131072__v050\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3724.038910480974, \"nll_base\": 8.222564086914062, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s016__tb131072__v050\", \"oracle_delta\": ... | {
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"uid": "lambada_openai_mt_it__1a798b96__s016__tb131072__v050",
"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_it__1a798b96__s016__tb262144__v048\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3724.038910480974, \"nll_base\": 8.222564086914062, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s016__tb262144__v048\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_it__1a798b96__s016__tb262144__v048",
"uid": "lambada_openai_mt_it__1a798b96__s016__tb262144__v048",
"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_it__1a798b96__s016__tb65536__v049\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3724.038910480974, \"nll_base\": 8.222564086914062, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s016__tb65536__v049\", \"oracle_delta\": 0.3... | {
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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 | {
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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,
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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_it__1a798b96__s018__tb262144__v054\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4521.029129788038, \"nll_base\": 8.416494930491728, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s018__tb262144__v054\", \"oracle_delta\": ... | {
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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_it__1a798b96__s018__tb65536__v055\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4521.029129788038, \"nll_base\": 8.416494930491728, \"eval_ref\": \"lambada_openai_mt_it__1a798b96__s018__tb65536__v055\", \"oracle_delta\": 0.2... | {
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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": 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__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2631.784859833331, \"nll_base\": 7.875417548919392, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s000__tb131072__v001\", ... | {
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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_de__11084541__s000__tb262144__v002\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2631.784859833331, \"nll_base\": 7.875417548919392, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s000__tb262144__v002\", ... | {
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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_de__11084541__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2631.784859833331, \"nll_base\": 7.875417548919392, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s000__tb65536__v000\", \"o... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s001__tb131072__v004\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1668.0611854472234, \"nll_base\": 7.419417264168723, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s001__tb131072__v004\",... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s001__tb262144__v005\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1668.0611854472234, \"nll_base\": 7.419417264168723, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s001__tb262144__v005\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s001__tb262144__v005",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s001__tb65536__v003\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1668.0611854472234, \"nll_base\": 7.419417264168723, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s001__tb65536__v003\", \"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s001__tb65536__v003",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s002__tb131072__v007\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2771.14791757082, \"nll_base\": 7.927016924012382, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s002__tb131072__v007\", \... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s002__tb262144__v008\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2771.14791757082, \"nll_base\": 7.927016924012382, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s002__tb262144__v008\", \... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s002__tb65536__v006\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2771.14791757082, \"nll_base\": 7.927016924012382, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s002__tb65536__v006\", \"or... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s002__tb65536__v006",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s003__tb131072__v010\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1913.8327012169113, \"nll_base\": 7.556863160259955, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s003__tb131072__v010\",... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s003__tb262144__v011\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1913.8327012169113, \"nll_base\": 7.556863160259955, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s003__tb262144__v011\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s003__tb262144__v011",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s003__tb65536__v009\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1913.8327012169113, \"nll_base\": 7.556863160259955, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s003__tb65536__v009\", \"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s003__tb65536__v009",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s004__tb131072__v013\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 6349.812919364363, \"nll_base\": 8.756180629935315, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s004__tb131072__v013\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s004__tb131072__v013",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s004__tb262144__v014\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 6349.812919364363, \"nll_base\": 8.756180629935315, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s004__tb262144__v014\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s004__tb262144__v014",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s004__tb65536__v012\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6349.812919364363, \"nll_base\": 8.756180629935315, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s004__tb65536__v012\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s004__tb65536__v012",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s005__tb131072__v016\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2940.4373475187804, \"nll_base\": 7.986313606928853, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s005__tb131072__v016\",... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"lambada_openai_mt_stablelm_de__11084541__s005__tb65536__v015\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2940.4373475187804, \"nll_base\": 7.986313606928853, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s005__tb65536__v015\", \"... | {
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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_de__11084541__s006__tb131072__v019\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1582.04963536741, \"nll_base\": 7.366476522909628, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s006__tb131072__v019\", \... | {
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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_de__11084541__s006__tb262144__v020\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1582.04963536741, \"nll_base\": 7.366476522909628, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s006__tb262144__v020\", \... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s006__tb65536__v018\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1582.04963536741, \"nll_base\": 7.366476522909628, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s006__tb65536__v018\", \"or... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s007__tb131072__v022\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1558.2416541693324, \"nll_base\": 7.351313319774943, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s007__tb131072__v022\",... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s007__tb262144__v023\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1558.2416541693324, \"nll_base\": 7.351313319774943, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s007__tb262144__v023\",... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s007__tb65536__v021\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1558.2416541693324, \"nll_base\": 7.351313319774943, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s007__tb65536__v021\", \"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s007__tb65536__v021",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s008__tb131072__v025\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1465.913396528774, \"nll_base\": 7.290233806028205, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s008__tb131072__v025\", ... | {
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"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s008__tb262144__v026\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1465.913396528774, \"nll_base\": 7.290233806028205, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s008__tb262144__v026\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s008__tb262144__v026",
"uid": "lambada_openai_mt_stablelm_de__11084541__s008__tb262144__v026",
"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__s008__tb65536__v024\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1465.913396528774, \"nll_base\": 7.290233806028205, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s008__tb65536__v024\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s008__tb65536__v024",
"uid": "lambada_openai_mt_stablelm_de__11084541__s008__tb65536__v024",
"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__s009__tb131072__v028\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3367.220112014925, \"nll_base\": 8.121842790358137, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s009__tb131072__v028\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s009__tb131072__v028",
"uid": "lambada_openai_mt_stablelm_de__11084541__s009__tb131072__v028",
"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__s009__tb262144__v029\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3367.220112014925, \"nll_base\": 8.121842790358137, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s009__tb262144__v029\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s009__tb262144__v029",
"uid": "lambada_openai_mt_stablelm_de__11084541__s009__tb262144__v029",
"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__s009__tb65536__v027\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3367.220112014925, \"nll_base\": 8.121842790358137, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s009__tb65536__v027\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s009__tb65536__v027",
"uid": "lambada_openai_mt_stablelm_de__11084541__s009__tb65536__v027",
"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__s010__tb131072__v031\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4941.509280171577, \"nll_base\": 8.505426085821473, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s010__tb131072__v031\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s010__tb131072__v031",
"uid": "lambada_openai_mt_stablelm_de__11084541__s010__tb131072__v031",
"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__s010__tb262144__v032\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 4941.509280171577, \"nll_base\": 8.505426085821473, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s010__tb262144__v032\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s010__tb262144__v032",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s010__tb65536__v030\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4941.509280171577, \"nll_base\": 8.505426085821473, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s010__tb65536__v030\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s010__tb65536__v030",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s011__tb131072__v034\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 7578.670598157369, \"nll_base\": 8.933093080426207, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s011__tb131072__v034\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s011__tb131072__v034",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s011__tb262144__v035\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 7578.670598157369, \"nll_base\": 8.933093080426207, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s011__tb262144__v035\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s011__tb262144__v035",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s011__tb65536__v033\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 7578.670598157369, \"nll_base\": 8.933093080426207, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s011__tb65536__v033\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s011__tb65536__v033",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s012__tb131072__v037\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2352.209570320574, \"nll_base\": 7.763110408076534, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s012__tb131072__v037\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s012__tb131072__v037",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s012__tb262144__v038\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2352.209570320574, \"nll_base\": 7.763110408076534, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s012__tb262144__v038\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s012__tb262144__v038",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s012__tb65536__v036\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2352.209570320574, \"nll_base\": 7.763110408076534, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s012__tb65536__v036\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s012__tb65536__v036",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s013__tb131072__v040\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1256.7797819619727, \"nll_base\": 7.136307999894425, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s013__tb131072__v040\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s013__tb131072__v040",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s013__tb262144__v041\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1256.7797819619727, \"nll_base\": 7.136307999894425, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s013__tb262144__v041\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s013__tb262144__v041",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s013__tb65536__v039\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1256.7797819619727, \"nll_base\": 7.136307999894425, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s013__tb65536__v039\", \"... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s013__tb65536__v039",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s014__tb131072__v043\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3077.198378865719, \"nll_base\": 8.031774844763413, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s014__tb131072__v043\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s014__tb131072__v043",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s014__tb262144__v044\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 3077.198378865719, \"nll_base\": 8.031774844763413, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s014__tb262144__v044\", ... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s014__tb262144__v044",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s014__tb65536__v042\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 3077.198378865719, \"nll_base\": 8.031774844763413, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s014__tb65536__v042\", \"o... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s014__tb65536__v042",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s015__tb131072__v046\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2035.3998442646714, \"nll_base\": 7.618447562244451, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s015__tb131072__v046\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s015__tb131072__v046",
"uid": "lambada_openai_mt_stablelm_de__11084541__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_de__11084541__s015__tb262144__v047\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2035.3998442646714, \"nll_base\": 7.618447562244451, \"eval_ref\": \"lambada_openai_mt_stablelm_de__11084541__s015__tb262144__v047\",... | {
"index": "lambada_openai_mt_stablelm_de__11084541__s015__tb262144__v047",
"uid": "lambada_openai_mt_stablelm_de__11084541__s015__tb262144__v047",
"axis": "multilingual_ppl",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
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