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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
line string | today timestamp[s] | target dict | messages list |
|---|---|---|---|
spent ₹1,468.06 at spotify last Wednesday on a streaming plan | 2026-08-19T00:00:00 | {
"amount": 1468.06,
"currency": "INR",
"merchant": "Spotify",
"category": "entertainment",
"date": "2026-08-12T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 3,780 euros at Subway last Friday on a coffee run, split between 5 of us | 2026-07-27T00:00:00 | {
"amount": 3780,
"currency": "EUR",
"merchant": "Subway",
"category": "food",
"date": "2026-07-24T00:00:00",
"split": 5,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid Rs 2,749.66 to Practo on 2026-01-29 for the gym membership | 2026-05-17T00:00:00 | {
"amount": 2749.66,
"currency": "INR",
"merchant": "Practo",
"category": "health",
"date": "2026-01-29T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
$2,950 bsnl on 16 Jul the electricity bill (4 way split) | 2026-08-14T00:00:00 | {
"amount": 2950,
"currency": "USD",
"merchant": "BSNL",
"category": "utilities",
"date": "2026-07-16T00:00:00",
"split": 4,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Airtel - 1,630.05 on 28 Apr (the mobile recharge) - for the Bangalore trip | 2026-06-05T00:00:00 | {
"amount": 1630.05,
"currency": "INR",
"merchant": "Airtel",
"category": "utilities",
"date": "2026-04-28T00:00:00",
"split": 1,
"note": "for the Bangalore trip"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid $173 to Metro Card yesterday for a ride to the airport - work expense | 2026-03-30T00:00:00 | {
"amount": 173,
"currency": "USD",
"merchant": "Metro Card",
"category": "transport",
"date": "2026-03-29T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
croma - 1250 pounds on 14 Aug (a t-shirt) | 2026-09-01T00:00:00 | {
"amount": 1250,
"currency": "GBP",
"merchant": "Croma",
"category": "shopping",
"date": "2026-08-14T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Chai Point - ₹1,020 yesterday (breakfast) - work expense | 2026-06-20T00:00:00 | {
"amount": 1020,
"currency": "INR",
"merchant": "Chai Point",
"category": "food",
"date": "2026-06-19T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid €2980 to Subway yesterday for dinner with friends (3 way split) | 2026-01-30T00:00:00 | {
"amount": 2980,
"currency": "EUR",
"merchant": "Subway",
"category": "food",
"date": "2026-01-29T00:00:00",
"split": 3,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 990 rupees to Chai Point today for team lunch - for the Bangalore trip | 2026-04-19T00:00:00 | {
"amount": 990,
"currency": "INR",
"merchant": "Chai Point",
"category": "food",
"date": "2026-04-19T00:00:00",
"split": 1,
"note": "for the Bangalore trip"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
970 rupees blinkit yesterday the weekly groceries | 2026-02-01T00:00:00 | {
"amount": 970,
"currency": "INR",
"merchant": "Blinkit",
"category": "groceries",
"date": "2026-01-31T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs. 3,970 at 1mg this morning on a doctor consultation - for the Bangalore trip | 2026-04-16T00:00:00 | {
"amount": 3970,
"currency": "INR",
"merchant": "1mg",
"category": "health",
"date": "2026-04-16T00:00:00",
"split": 1,
"note": "for the Bangalore trip"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
bookmyshow - 3,410 on 2026-07-06 (a concert ticket) - reimbursable | 2026-07-08T00:00:00 | {
"amount": 3410,
"currency": "INR",
"merchant": "BookMyShow",
"category": "entertainment",
"date": "2026-07-06T00:00:00",
"split": 1,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 156 to 1mg this morning for the gym membership - reimbursable | 2026-07-29T00:00:00 | {
"amount": 156,
"currency": "INR",
"merchant": "1mg",
"category": "health",
"date": "2026-07-29T00:00:00",
"split": 1,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
101 BSNL last Monday the electricity bill | 2026-07-12T00:00:00 | {
"amount": 101,
"currency": "INR",
"merchant": "BSNL",
"category": "utilities",
"date": "2026-07-06T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
850 rupees Dominos on 6 Jun dinner with friends | 2026-07-15T00:00:00 | {
"amount": 850,
"currency": "INR",
"merchant": "Dominos",
"category": "food",
"date": "2026-06-06T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
cult fit - ¥4980 on 2026-07-31 (medicines) - for the Bangalore trip | 2026-08-17T00:00:00 | {
"amount": 4980,
"currency": "JPY",
"merchant": "Cult Fit",
"category": "health",
"date": "2026-07-31T00:00:00",
"split": 1,
"note": "for the Bangalore trip"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
₹3160 Swiggy 4 days ago a coffee run - paid by card (5 way split) | 2026-01-18T00:00:00 | {
"amount": 3160,
"currency": "INR",
"merchant": "Swiggy",
"category": "food",
"date": "2026-01-14T00:00:00",
"split": 5,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
DMart - Rs 1,941.92 this morning (milk and eggs) - work expense | 2026-02-13T00:00:00 | {
"amount": 1941.92,
"currency": "INR",
"merchant": "DMart",
"category": "groceries",
"date": "2026-02-13T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Netflix - 122 yen on 2 Sep (the monthly subscription) - work expense, split between 6 of us | 2026-09-14T00:00:00 | {
"amount": 122,
"currency": "JPY",
"merchant": "Netflix",
"category": "entertainment",
"date": "2026-09-02T00:00:00",
"split": 6,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs. 15 at netflix on 17 Jul on the monthly subscription | 2026-08-05T00:00:00 | {
"amount": 15,
"currency": "INR",
"merchant": "Netflix",
"category": "entertainment",
"date": "2026-07-17T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
₹2,191.41 Zepto last Sunday the weekly groceries - reimbursable | 2026-05-17T00:00:00 | {
"amount": 2191.41,
"currency": "INR",
"merchant": "Zepto",
"category": "groceries",
"date": "2026-05-10T00:00:00",
"split": 1,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
₹114 BSNL on 2026-05-22 the mobile recharge | 2026-08-18T00:00:00 | {
"amount": 114,
"currency": "INR",
"merchant": "BSNL",
"category": "utilities",
"date": "2026-05-22T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent €20 at KFC last Friday on team lunch - for the Bangalore trip | 2026-06-27T00:00:00 | {
"amount": 20,
"currency": "EUR",
"merchant": "KFC",
"category": "food",
"date": "2026-06-26T00:00:00",
"split": 1,
"note": "for the Bangalore trip"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs 1,030 at blinkit on 2026-04-15 on vegetables | 2026-04-19T00:00:00 | {
"amount": 1030,
"currency": "INR",
"merchant": "Blinkit",
"category": "groceries",
"date": "2026-04-15T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 2,396.35 at dmart today on milk and eggs, split between 5 of us | 2026-04-26T00:00:00 | {
"amount": 2396.35,
"currency": "INR",
"merchant": "DMart",
"category": "groceries",
"date": "2026-04-26T00:00:00",
"split": 5,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
113 rupees Amazon on 2026-02-18 a phone case | 2026-06-16T00:00:00 | {
"amount": 113,
"currency": "INR",
"merchant": "Amazon",
"category": "shopping",
"date": "2026-02-18T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹196 at BluSmart yesterday on a ride to the airport | 2026-08-26T00:00:00 | {
"amount": 196,
"currency": "INR",
"merchant": "BluSmart",
"category": "transport",
"date": "2026-08-25T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs 4490 at Airtel today on the postpaid bill - work expense, split between 2 of us | 2026-06-13T00:00:00 | {
"amount": 4490,
"currency": "INR",
"merchant": "Airtel",
"category": "utilities",
"date": "2026-06-13T00:00:00",
"split": 2,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
$178 Netflix on 2026-03-18 a streaming plan - urgent | 2026-05-12T00:00:00 | {
"amount": 178,
"currency": "USD",
"merchant": "Netflix",
"category": "entertainment",
"date": "2026-03-18T00:00:00",
"split": 1,
"note": "urgent"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Spotify - 5 dollars on 11 Apr (movie tickets) - paid by card | 2026-05-18T00:00:00 | {
"amount": 5,
"currency": "USD",
"merchant": "Spotify",
"category": "entertainment",
"date": "2026-04-11T00:00:00",
"split": 1,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹732.08 at Spotify yesterday on the monthly subscription | 2026-04-23T00:00:00 | {
"amount": 732.08,
"currency": "INR",
"merchant": "Spotify",
"category": "entertainment",
"date": "2026-04-22T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 1,850 to irctc last Thursday for a flight ticket - work expense | 2026-08-24T00:00:00 | {
"amount": 1850,
"currency": "INR",
"merchant": "IRCTC",
"category": "travel",
"date": "2026-08-20T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
1,820 rupees Uber yesterday the commute | 2026-06-22T00:00:00 | {
"amount": 1820,
"currency": "INR",
"merchant": "Uber",
"category": "transport",
"date": "2026-06-21T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 37 pounds at bsnl 3 days ago on the mobile recharge | 2026-09-11T00:00:00 | {
"amount": 37,
"currency": "GBP",
"merchant": "BSNL",
"category": "utilities",
"date": "2026-09-08T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ¥3,280 at practo yesterday on the gym membership | 2026-04-25T00:00:00 | {
"amount": 3280,
"currency": "JPY",
"merchant": "Practo",
"category": "health",
"date": "2026-04-24T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
454.16 Oyo Rooms last Monday an airport transfer - reimbursable | 2026-08-01T00:00:00 | {
"amount": 454.16,
"currency": "INR",
"merchant": "Oyo Rooms",
"category": "travel",
"date": "2026-07-27T00:00:00",
"split": 1,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Zomato - ₹2590 on 2026-06-18 (breakfast) - reimbursable, split 2 ways | 2026-07-21T00:00:00 | {
"amount": 2590,
"currency": "INR",
"merchant": "Zomato",
"category": "food",
"date": "2026-06-18T00:00:00",
"split": 2,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid Rs. 639.77 to blinkit on 2025-10-22 for vegetables | 2026-01-17T00:00:00 | {
"amount": 639.77,
"currency": "INR",
"merchant": "Blinkit",
"category": "groceries",
"date": "2025-10-22T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Zomato - ₹2,370 on 2026-06-06 (a coffee run) - paid by card, split between 3 of us | 2026-07-10T00:00:00 | {
"amount": 2370,
"currency": "INR",
"merchant": "Zomato",
"category": "food",
"date": "2026-06-06T00:00:00",
"split": 3,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 325.69 at Decathlon 4 days ago on headphones - work expense | 2026-09-17T00:00:00 | {
"amount": 325.69,
"currency": "INR",
"merchant": "Decathlon",
"category": "shopping",
"date": "2026-09-13T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 280 at Zepto yesterday on milk and eggs | 2026-03-18T00:00:00 | {
"amount": 280,
"currency": "INR",
"merchant": "Zepto",
"category": "groceries",
"date": "2026-03-17T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
1,860 rupees BookMyShow on 2026-04-17 movie tickets | 2026-06-04T00:00:00 | {
"amount": 1860,
"currency": "INR",
"merchant": "BookMyShow",
"category": "entertainment",
"date": "2026-04-17T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs. 2,460 at Tata Power yesterday on the postpaid bill | 2026-05-01T00:00:00 | {
"amount": 2460,
"currency": "INR",
"merchant": "Tata Power",
"category": "utilities",
"date": "2026-04-30T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
pvr cinemas - ¥4,960 9 days ago (movie tickets) - work expense | 2026-05-09T00:00:00 | {
"amount": 4960,
"currency": "JPY",
"merchant": "PVR Cinemas",
"category": "entertainment",
"date": "2026-04-30T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹3980 at Practo on 3 Jun on a blood test, split 5 ways | 2026-07-12T00:00:00 | {
"amount": 3980,
"currency": "INR",
"merchant": "Practo",
"category": "health",
"date": "2026-06-03T00:00:00",
"split": 5,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
₹140.83 reliance fresh last Friday the weekly groceries | 2026-04-28T00:00:00 | {
"amount": 140.83,
"currency": "INR",
"merchant": "Reliance Fresh",
"category": "groceries",
"date": "2026-04-24T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Act Fibernet - 14 euros 7 days ago (the broadband bill) - paid by card, split 3 ways | 2026-03-20T00:00:00 | {
"amount": 14,
"currency": "EUR",
"merchant": "Act Fibernet",
"category": "utilities",
"date": "2026-03-13T00:00:00",
"split": 3,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹3,290 at myntra 9 days ago on a phone case | 2026-06-10T00:00:00 | {
"amount": 3290,
"currency": "INR",
"merchant": "Myntra",
"category": "shopping",
"date": "2026-06-01T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
3,470 rupees Spotify on 2025-12-22 a streaming plan (5 way split) | 2026-02-14T00:00:00 | {
"amount": 3470,
"currency": "INR",
"merchant": "Spotify",
"category": "entertainment",
"date": "2025-12-22T00:00:00",
"split": 5,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid Rs 4590 to Practo 9 days ago for the gym membership | 2026-01-30T00:00:00 | {
"amount": 4590,
"currency": "INR",
"merchant": "Practo",
"category": "health",
"date": "2026-01-21T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹3,220 at PhonePe on 2025-11-06 on a payment | 2026-02-04T00:00:00 | {
"amount": 3220,
"currency": "INR",
"merchant": "PhonePe",
"category": "other",
"date": "2025-11-06T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
blusmart - 103 rupees on 2025-12-04 (the cab fare) - work expense | 2026-03-29T00:00:00 | {
"amount": 103,
"currency": "INR",
"merchant": "BluSmart",
"category": "transport",
"date": "2025-12-04T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 1,293.32 rupees to Metro Card last Saturday for an auto ride, split between 3 of us | 2026-09-05T00:00:00 | {
"amount": 1293.32,
"currency": "INR",
"merchant": "Metro Card",
"category": "transport",
"date": "2026-08-29T00:00:00",
"split": 3,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Blinkit - £3310 on 3 Jan (the weekly groceries) | 2026-01-23T00:00:00 | {
"amount": 3310,
"currency": "GBP",
"merchant": "Blinkit",
"category": "groceries",
"date": "2026-01-03T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Act Fibernet - 137 on 2026-05-01 (the postpaid bill) | 2026-08-29T00:00:00 | {
"amount": 137,
"currency": "INR",
"merchant": "Act Fibernet",
"category": "utilities",
"date": "2026-05-01T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Rs 1,840 BSNL today the broadband bill | 2026-03-11T00:00:00 | {
"amount": 1840,
"currency": "INR",
"merchant": "BSNL",
"category": "utilities",
"date": "2026-03-11T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid ₹4,570 to cult fit 9 days ago for a doctor consultation - urgent | 2026-03-12T00:00:00 | {
"amount": 4570,
"currency": "INR",
"merchant": "Cult Fit",
"category": "health",
"date": "2026-03-03T00:00:00",
"split": 1,
"note": "urgent"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid ₹3490 to BigBasket 8 days ago for vegetables - work expense | 2026-02-04T00:00:00 | {
"amount": 3490,
"currency": "INR",
"merchant": "BigBasket",
"category": "groceries",
"date": "2026-01-27T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 17 rupees to Cafe Coffee Day last Thursday for team lunch - work expense | 2026-06-05T00:00:00 | {
"amount": 17,
"currency": "INR",
"merchant": "Cafe Coffee Day",
"category": "food",
"date": "2026-06-04T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 2,230 rupees at BookMyShow yesterday on movie tickets - work expense | 2026-02-23T00:00:00 | {
"amount": 2230,
"currency": "INR",
"merchant": "BookMyShow",
"category": "entertainment",
"date": "2026-02-22T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
$78 Act Fibernet on 2026-02-17 the broadband bill | 2026-03-27T00:00:00 | {
"amount": 78,
"currency": "USD",
"merchant": "Act Fibernet",
"category": "utilities",
"date": "2026-02-17T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 187 rupees to Reliance Fresh today for milk and eggs | 2026-03-22T00:00:00 | {
"amount": 187,
"currency": "INR",
"merchant": "Reliance Fresh",
"category": "groceries",
"date": "2026-03-22T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
apollo pharmacy - 35 5 days ago (medicines) | 2026-05-26T00:00:00 | {
"amount": 35,
"currency": "INR",
"merchant": "Apollo Pharmacy",
"category": "health",
"date": "2026-05-21T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Zepto - 64 rupees 4 days ago (the weekly groceries) (2 way split) | 2026-08-15T00:00:00 | {
"amount": 64,
"currency": "INR",
"merchant": "Zepto",
"category": "groceries",
"date": "2026-08-11T00:00:00",
"split": 2,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs. 440 at Uber last Friday on an auto ride | 2026-01-21T00:00:00 | {
"amount": 440,
"currency": "INR",
"merchant": "Uber",
"category": "transport",
"date": "2026-01-16T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
blinkit - Rs 166 on 18 Jun (household supplies), split between 6 of us | 2026-08-11T00:00:00 | {
"amount": 166,
"currency": "INR",
"merchant": "Blinkit",
"category": "groceries",
"date": "2026-06-18T00:00:00",
"split": 6,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 4930 at Decathlon 3 days ago on a phone case | 2026-03-12T00:00:00 | {
"amount": 4930,
"currency": "INR",
"merchant": "Decathlon",
"category": "shopping",
"date": "2026-03-09T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent €3760 at airtel 9 days ago on the postpaid bill | 2026-08-04T00:00:00 | {
"amount": 3760,
"currency": "EUR",
"merchant": "Airtel",
"category": "utilities",
"date": "2026-07-26T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid Rs. 19 to rapido 2 days ago for the commute - work expense | 2026-07-05T00:00:00 | {
"amount": 19,
"currency": "INR",
"merchant": "Rapido",
"category": "transport",
"date": "2026-07-03T00:00:00",
"split": 1,
"note": "work expense"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Rs. 3,440 Razorpay last Thursday a wallet top up, split 4 ways | 2026-09-14T00:00:00 | {
"amount": 3440,
"currency": "INR",
"merchant": "Razorpay",
"category": "other",
"date": "2026-09-10T00:00:00",
"split": 4,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent $2,040 at dmart on 4 Mar on household supplies | 2026-04-29T00:00:00 | {
"amount": 2040,
"currency": "USD",
"merchant": "DMart",
"category": "groceries",
"date": "2026-03-04T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
€180 Metro Card last Sunday a ride to the airport | 2026-03-16T00:00:00 | {
"amount": 180,
"currency": "EUR",
"merchant": "Metro Card",
"category": "transport",
"date": "2026-03-15T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
irctc - Rs 2,203.50 on 2026-02-21 (a flight ticket) | 2026-06-21T00:00:00 | {
"amount": 2203.5,
"currency": "INR",
"merchant": "IRCTC",
"category": "travel",
"date": "2026-02-21T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid ₹3,900 to Cult Fit last Thursday for a doctor consultation, split between 6 of us | 2026-02-22T00:00:00 | {
"amount": 3900,
"currency": "INR",
"merchant": "Cult Fit",
"category": "health",
"date": "2026-02-19T00:00:00",
"split": 6,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Decathlon - 3,740 dollars last Monday (headphones), split between 2 of us | 2026-06-10T00:00:00 | {
"amount": 3740,
"currency": "USD",
"merchant": "Decathlon",
"category": "shopping",
"date": "2026-06-08T00:00:00",
"split": 2,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs 766.89 at BigBasket on 7 Jul on vegetables | 2026-07-29T00:00:00 | {
"amount": 766.89,
"currency": "INR",
"merchant": "BigBasket",
"category": "groceries",
"date": "2026-07-07T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Croma - Rs 476.11 on 26 May (headphones) - paid by card, split between 3 of us | 2026-07-18T00:00:00 | {
"amount": 476.11,
"currency": "INR",
"merchant": "Croma",
"category": "shopping",
"date": "2026-05-26T00:00:00",
"split": 3,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
IRCTC - $150 2 days ago (an airport transfer) | 2026-04-28T00:00:00 | {
"amount": 150,
"currency": "USD",
"merchant": "IRCTC",
"category": "travel",
"date": "2026-04-26T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
£538.02 Cafe Coffee Day yesterday a coffee run - reimbursable | 2026-03-04T00:00:00 | {
"amount": 538.02,
"currency": "GBP",
"merchant": "Cafe Coffee Day",
"category": "food",
"date": "2026-03-03T00:00:00",
"split": 1,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹188 at Jio on 18 Feb on the broadband bill | 2026-03-24T00:00:00 | {
"amount": 188,
"currency": "INR",
"merchant": "Jio",
"category": "utilities",
"date": "2026-02-18T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
184 euros Ola 9 days ago the cab fare | 2026-05-05T00:00:00 | {
"amount": 184,
"currency": "EUR",
"merchant": "Ola",
"category": "transport",
"date": "2026-04-26T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs. 492.38 at Blinkit on 2026-06-22 on the weekly groceries | 2026-08-07T00:00:00 | {
"amount": 492.38,
"currency": "INR",
"merchant": "Blinkit",
"category": "groceries",
"date": "2026-06-22T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 2,340 yen at reliance fresh on 18 Jan on milk and eggs | 2026-03-17T00:00:00 | {
"amount": 2340,
"currency": "JPY",
"merchant": "Reliance Fresh",
"category": "groceries",
"date": "2026-01-18T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent ₹773 at Cafe Coffee Day on 18 Aug on breakfast - paid by card, split between 2 of us | 2026-09-08T00:00:00 | {
"amount": 773,
"currency": "INR",
"merchant": "Cafe Coffee Day",
"category": "food",
"date": "2026-08-18T00:00:00",
"split": 2,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
₹1,756.41 Apollo Pharmacy on 14 Apr a blood test - reimbursable | 2026-04-23T00:00:00 | {
"amount": 1756.41,
"currency": "INR",
"merchant": "Apollo Pharmacy",
"category": "health",
"date": "2026-04-14T00:00:00",
"split": 1,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Uber - Rs 1,095.84 today (the cab fare) | 2026-05-28T00:00:00 | {
"amount": 1095.84,
"currency": "INR",
"merchant": "Uber",
"category": "transport",
"date": "2026-05-28T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 3960 rupees to zomato on 2026-07-31 for office snacks - paid by card | 2026-08-19T00:00:00 | {
"amount": 3960,
"currency": "INR",
"merchant": "Zomato",
"category": "food",
"date": "2026-07-31T00:00:00",
"split": 1,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 138 dollars to Uber this morning for an auto ride | 2026-08-31T00:00:00 | {
"amount": 138,
"currency": "USD",
"merchant": "Uber",
"category": "transport",
"date": "2026-08-31T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 69 pounds at DMart this morning on milk and eggs - urgent | 2026-08-11T00:00:00 | {
"amount": 69,
"currency": "GBP",
"merchant": "DMart",
"category": "groceries",
"date": "2026-08-11T00:00:00",
"split": 1,
"note": "urgent"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent 161 rupees at Tata Power on 12 Jan on the mobile recharge | 2026-01-23T00:00:00 | {
"amount": 161,
"currency": "INR",
"merchant": "Tata Power",
"category": "utilities",
"date": "2026-01-12T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Starbucks - Rs 60 yesterday (a coffee run) - for the Bangalore trip | 2026-06-06T00:00:00 | {
"amount": 60,
"currency": "INR",
"merchant": "Starbucks",
"category": "food",
"date": "2026-06-05T00:00:00",
"split": 1,
"note": "for the Bangalore trip"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid Rs. 564.15 to Netflix yesterday for the monthly subscription | 2026-05-26T00:00:00 | {
"amount": 564.15,
"currency": "INR",
"merchant": "Netflix",
"category": "entertainment",
"date": "2026-05-25T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Jio - 4320 euros yesterday (the postpaid bill) | 2026-01-30T00:00:00 | {
"amount": 4320,
"currency": "EUR",
"merchant": "Jio",
"category": "utilities",
"date": "2026-01-29T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid 1,400 rupees to cult fit yesterday for a blood test - paid by card | 2026-06-08T00:00:00 | {
"amount": 1400,
"currency": "INR",
"merchant": "Cult Fit",
"category": "health",
"date": "2026-06-07T00:00:00",
"split": 1,
"note": "paid by card"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
195 rupees Razorpay last Monday a transfer | 2026-06-21T00:00:00 | {
"amount": 195,
"currency": "INR",
"merchant": "Razorpay",
"category": "other",
"date": "2026-06-15T00:00:00",
"split": 1,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
DMart - ₹4,280 yesterday (the weekly groceries) - urgent | 2026-08-22T00:00:00 | {
"amount": 4280,
"currency": "INR",
"merchant": "DMart",
"category": "groceries",
"date": "2026-08-21T00:00:00",
"split": 1,
"note": "urgent"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
Rs. 800 Spotify on 2025-10-19 a concert ticket, split between 6 of us | 2026-01-15T00:00:00 | {
"amount": 800,
"currency": "INR",
"merchant": "Spotify",
"category": "entertainment",
"date": "2025-10-19T00:00:00",
"split": 6,
"note": null
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
spent Rs. 1,490 at PhonePe 5 days ago on a payment - urgent, split between 5 of us | 2026-06-24T00:00:00 | {
"amount": 1490,
"currency": "INR",
"merchant": "PhonePe",
"category": "other",
"date": "2026-06-19T00:00:00",
"split": 5,
"note": "urgent"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
paid $188 to Swiggy yesterday for dinner with friends - reimbursable (4 way split) | 2026-07-31T00:00:00 | {
"amount": 188,
"currency": "USD",
"merchant": "Swiggy",
"category": "food",
"date": "2026-07-30T00:00:00",
"split": 4,
"note": "reimbursable"
} | [
{
"role": "system",
"content": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), spli... |
End of preview.
slm-lab-data
Everything slm-lab produced that is not a model: the tokenizers it trained, the corpora it packed, the synthetic task it generated, and every published result file.
What is in here
| path | what it is |
|---|---|
tinystories_<v>.json |
byte-level BPE tokenizers trained from scratch at vocab 2048 / 8192 / 32768 |
tinystories_<v>_{train,val}.bin |
TinyStories packed to uint16 token streams |
chat_8192* |
the chat-formatted corpus for Phase 05 mid-training |
json_{train,val,test}.jsonl |
the synthetic expense→JSON task |
json_pref.jsonl |
preference pairs for Phase 07 DPO |
sweeps/ |
one metrics.json per ablation arm |
results/ |
every published write-up, table and figure |
The results are the point
results/ holds the project's measured findings in full, including the negative
ones:
summary.md— 24 runs, 7 ablations, judged against a measured seed noise floor of 0.0146 nats. Two of seven showed no detectable difference and are reported as such.ablation_vocab_size.md— and the note explaining that correcting the bits-per-byte metric reversed this ablation's verdict, because the original was per-token loss times a shared constant and so preserved the exact artifact it existed to remove.phase08_compare.md— every production quantization method on one table, including the KL column almost nobody publishes.phase08_granularity.md— quantization granularity measured by hand on one real weight matrix, with the outlier experiment.
A note on the tokenizers
Three vocabularies were trained so the choice could be measured rather than assumed. The 32768 arm wins on bits-per-byte — but its embedding table is 12.6M parameters, which at this project's budget is the entire model, leaving 17K parameters for the layers. The measured winner and the usable choice are not the same thing, and the results say so.
Limitations
The corpora are synthetic — TinyStories, plus a task generated by this project's own script. There is no personal data in any of it. The models trained on it are research artifacts for learning, not products.
Where this came from
Part of slm-lab — a language model built end to end on free compute: a hand-written BPE tokenizer, a transformer from scratch, a controlled ablation study with a measured noise floor, post-training, QLoRA on a 1B model, DPO, and quantization written by hand and benchmarked against every production method.
- Code, guide and the full failure log: https://github.com/Dhevenddra/slm-lab
- Every result file, dataset and tokenizer: https://huggingface.co/datasets/Dhevenddra/slm-lab-data
The project's own failure log (FAILURES.md, 26 entries) is the part most worth
reading. The recurring shape: the instrument measured something correlated with
the question rather than equal to it.
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