spkc83/retail-bank-agent-9b
Text Generation • 8B • Updated
expected dict | messages listlengths 3 9 | metadata dict | provenance dict | record_id stringlengths 10 56 | schema_version stringclasses 1
value | split_keys dict | validation dict |
|---|---|---|---|---|---|---|---|
{
"final_state_hash": "sha256:47b2e5b673fef02bcf1a173c6be05fceafd1421939576d83a31238cde76d97ca",
"grounding_facts": [
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"account.last4=1792",
"account.last4=4756",
"account.balance=4,728.25",
"account.balance=7,226.08"
],
"ordered_calls": [
"call_accounts_read_0"
],
... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0000.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0000|cust_tool_accounts_read_0000|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0000",
"realization_seed": "realization-000",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0000",
"template_id": "accounts-balance-v1"
} | {
"accepted": true,
"replay_hash": "sha256:327166ef7d4fbd7ddaad7165a4e91118994751f3c41a8dd3ccb674be51d2a4ec",
"tool_manifest_hash": "sha256:88b6f53e19779732cde99190ebb5405d317e5691f91bc63624ef32c241939b40"
} |
{
"final_state_hash": "sha256:47b2e5b673fef02bcf1a173c6be05fceafd1421939576d83a31238cde76d97ca",
"grounding_facts": [
"accounts.count=2",
"account.last4=1792",
"account.last4=4756",
"account.balance=4,728.25",
"account.balance=7,226.08"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0000.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0000|cust_tool_accounts_read_0000|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0000_realization_1 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0000",
"realization_seed": "realization-001",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0000",
"template_id": "accounts-balance-v1"
} | {
"accepted": true,
"replay_hash": "sha256:27d7ba73eaf83fef158935b8992a71f9c00d9dd023547164e25735ab5d87bb61",
"tool_manifest_hash": "sha256:88b6f53e19779732cde99190ebb5405d317e5691f91bc63624ef32c241939b40"
} |
{
"final_state_hash": "sha256:47b2e5b673fef02bcf1a173c6be05fceafd1421939576d83a31238cde76d97ca",
"grounding_facts": [
"accounts.count=2",
"account.last4=1792",
"account.last4=4756",
"account.balance=4,728.25",
"account.balance=7,226.08"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0000.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0000|cust_tool_accounts_read_0000|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0000_realization_2 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0000",
"realization_seed": "realization-002",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0000",
"template_id": "accounts-balance-v1"
} | {
"accepted": true,
"replay_hash": "sha256:aae5836343686041d5b5671aca964ff09c47495dd8fae5aa671f464fd5a5a76b",
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} |
{
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"grounding_facts": [
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"account.last4=1442",
"account.last4=4406",
"account.balance=764.75",
"account.balance=14,104.91"
],
"ordered_calls": [
"call_accounts_read_state_0001... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0001.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0001|cust_tool_accounts_read_0001|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0001_realization_0 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0001",
"realization_seed": "realization-000",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0001",
"template_id": "accounts-balance-v1"
} | {
"accepted": true,
"replay_hash": "sha256:fcfb563e642f371cb715f8acfe738ac7f5d3fa42b3dccbc441b52ce928d77a71",
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} |
{
"final_state_hash": "sha256:c018fa5b54a84929253f9beae1782f5c5e6c494cb8b58b1d400943d50c30b249",
"grounding_facts": [
"accounts.count=2",
"account.last4=1442",
"account.last4=4406",
"account.balance=764.75",
"account.balance=14,104.91"
],
"ordered_calls": [
"call_accounts_read_state_0001... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0001.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0001|cust_tool_accounts_read_0001|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0001_realization_1 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0001",
"realization_seed": "realization-001",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0001",
"template_id": "accounts-balance-v1"
} | {
"accepted": true,
"replay_hash": "sha256:2d7072cb547ef1110ce57f56b48183ba846e8803381763e9a2afd0d813c14d93",
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} |
{
"final_state_hash": "sha256:c018fa5b54a84929253f9beae1782f5c5e6c494cb8b58b1d400943d50c30b249",
"grounding_facts": [
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"account.last4=1442",
"account.last4=4406",
"account.balance=764.75",
"account.balance=14,104.91"
],
"ordered_calls": [
"call_accounts_read_state_0001... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0001.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0001|cust_tool_accounts_read_0001|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0001_realization_2 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0001",
"realization_seed": "realization-002",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0001",
"template_id": "accounts-balance-v1"
} | {
"accepted": true,
"replay_hash": "sha256:a87bbba41cbe9c61bb3950843563158bca8aa806ba57662480a469a186152600",
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} |
{
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"grounding_facts": [
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"account.last4=3544",
"account.last4=6508",
"account.balance=3,035.77",
"account.balance=3,661.92"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0003.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0003|cust_tool_accounts_read_0003|accounts-balance-v1",
"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0003_realization_0 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0003",
"realization_seed": "realization-000",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0003",
"template_id": "accounts-balance-v1"
} | {
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} |
{
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"grounding_facts": [
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"account.last4=6508",
"account.balance=3,035.77",
"account.balance=3,661.92"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0003.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
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} | {
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"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0003_realization_1 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0003",
"realization_seed": "realization-001",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0003",
"template_id": "accounts-balance-v1"
} | {
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{
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"grounding_facts": [
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"account.balance=3,035.77",
"account.balance=3,661.92"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0003.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
"split_group": "read_accounts|state-accounts_read-0003|cust_tool_accounts_read_0003|accounts-balance-v1",
"trainable": true
} | {
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"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0003_realization_2 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0003",
"realization_seed": "realization-002",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0003",
"template_id": "accounts-balance-v1"
} | {
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{
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"account.balance=4,251.73",
"account.balance=5,867.24"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0007.demo",
"path": "tool_success",
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} | {
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"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0007_realization_0 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0007",
"realization_seed": "realization-000",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0007",
"template_id": "accounts-balance-v1"
} | {
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{
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"grounding_facts": [
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"account.balance=4,251.73",
"account.balance=5,867.24"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0007.demo",
"path": "tool_success",
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} | {
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"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
"teacher_prompt_hash": null
} | accounts_read_state_0007_realization_1 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0007",
"realization_seed": "realization-001",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0007",
"template_id": "accounts-balance-v1"
} | {
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{
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"account.balance=4,251.73",
"account.balance=5,867.24"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0007.demo",
"path": "tool_success",
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} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
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} | accounts_read_state_0007_realization_2 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0007",
"realization_seed": "realization-002",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0007",
"template_id": "accounts-balance-v1"
} | {
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} |
{
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"account.balance=4,178.31",
"account.balance=4,442.77"
],
"ordered_calls": [
"call_accounts_read_state_000... | [
{
"content": "You are the conversational customer-service agent for a fictional retail-bank demonstration. The customer is already authenticated. Use the supplied tools for customer-specific banking records or actions, use tool results for final answers, call dependent tools one at a time so each later call can... | {
"customer_login": "accounts_read.0009.demo",
"path": "tool_success",
"record_type": "tool_use_sft",
"scenario_family": "read_accounts",
"split": "train",
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"trainable": true
} | {
"generator_version": "banking-tool-sft/v1.3-servicing-quality",
"license": "MIT",
"source": "self-authored-synthetic",
"teacher_model": null,
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} | accounts_read_state_0009_realization_0 | banking-tool-sft/v1 | {
"customer_id": "cust_tool_accounts_read_0009",
"realization_seed": "realization-000",
"scenario_family": "read_accounts",
"state_seed": "state-accounts_read-0009",
"template_id": "accounts-balance-v1"
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End of preview. Expand in Data Studio
Retail Bank Agent Tool-Use SFT
This dataset contains 9,000 deterministic, fictional retail-banking conversations for supervised fine-tuning of a conversational tool-using model.
- Dataset: https://huggingface.co/datasets/spkc83/retail-bank-agent-sft
- Training revision:
183e7e1ed1aba9c3d7155e7b83b64dc854935055 - Source: https://github.com/spkc83/retail-bank-servicing
- Model: https://huggingface.co/spkc83/retail-bank-agent-9b
- Public POC: https://huggingface.co/spaces/spkc83/retail-bank-servicing-poc
Splits
- Train: 6,304
- Validation: 1,349
- Frozen test: 1,347
- Corpus fingerprint:
2bb7a400ed2556b15c7e5eb6147668041b5deef8ae4f037f9e2e52295ff29ab5 - Split seed:
711
Coverage
The corpus covers all nine public synthetic-bank tools, successful and failed tool results, clarification, general banking FAQ, hard-negative private-field requests, out-of-domain refusal, multi-turn context, and ordered multi-tool calls.
| Scenario family | Conversations |
|---|---|
| Clarification | 333 |
| Conversation | 999 |
| Hard negative | 333 |
| Multi-turn | 1,665 |
| No-tool banking FAQ | 1,665 |
| OOD | 333 |
| Tool error | 666 |
| Tool success | 3,006 |
Every tool-bearing record was replayed against isolated deterministic synthetic state before inclusion. Assistant tool-call and final-response tokens are trainable; system, user, and tool-result tokens are context only. The data validator rejects semantically empty final responses and asserts path-specific content for clarification, FAQ, OOD, and hard-negative rows.
Source and privacy policy
All included rows are self-authored synthetic data under MIT. Banking77 and CLINC are classifier/evaluation-only and contribute no generative SFT rows. Bitext remains quarantined and contributes no rows.
The dataset contains no real customers, credentials, accounts, or financial events. It is for research demonstrations, not production banking.
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