test-dataset-2341 / stats.json
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{
"counts": {
"train": 1059,
"val": 176,
"test": 265
},
"by_split": {
"train": {
"rows": 1059,
"sources": {
"llm_synthetic": 932,
"external_english": 127
},
"entities": {
"PERSON": 409,
"ADDRESS": 147,
"EMAIL": 263,
"ACCOUNT_NUMBER": 136,
"IBAN": 53,
"BANK_ACCOUNT_NUMBER": 79,
"PHONE_NUMBER": 318
},
"row_types": {
"hard_negative": 147,
"positive": 747,
"clean_negative": 165
},
"entity_occurrences": 1405
},
"val": {
"rows": 176,
"sources": {
"llm_synthetic": 155,
"external_english": 21
},
"entities": {
"ADDRESS": 24,
"ACCOUNT_NUMBER": 32,
"BANK_ACCOUNT_NUMBER": 12,
"PHONE_NUMBER": 61,
"PERSON": 63,
"EMAIL": 44,
"IBAN": 5
},
"row_types": {
"positive": 123,
"clean_negative": 34,
"hard_negative": 19
},
"entity_occurrences": 241
},
"test": {
"rows": 265,
"sources": {
"llm_synthetic": 202,
"adversarial_synthetic_heldout": 31,
"external_english": 32
},
"entities": {
"BANK_ACCOUNT_NUMBER": 26,
"PERSON": 139,
"PHONE_NUMBER": 95,
"IBAN": 18,
"ACCOUNT_NUMBER": 30,
"EMAIL": 73,
"ADDRESS": 41
},
"row_types": {
"positive": 229,
"hard_negative": 29,
"clean_negative": 7
},
"entity_occurrences": 422
}
},
"heldout_slice": {
"buckets": {
"realistic": 18,
"adversarial": 13
},
"traps": {
"clitic_boundary": 13
},
"realistic_dialects": {
"gulf": 18
},
"realistic_domains": {
"personal_private_chats": 2,
"travel_hotel_airline": 3,
"banking_fintech": 3,
"ecommerce_or_delivery": 3,
"saas_app_support": 3,
"booking_confirmation": 2,
"logistics_courier": 2
}
},
"total_rows": 1500,
"problems_found": 0,
"warnings_found": 2
}