ts float64 1.78B 1.78B | model stringclasses 1
value | n_rows int64 16 60 | n_cols int64 9 11 | agent_input stringclasses 5
values | agent_output_plan stringclasses 6
values | table_operations listlengths 0 3 | column_operations listlengths 7 10 | cells_changed int64 85 293 | duration_ms null |
|---|---|---|---|---|---|---|---|---|---|
1,780,806,987.217895 | mock_planner | 16 | 11 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 16,
"n_cols": 11,
"n_exact_duplicate_rows": 2,
"n_empty_rows": 1,
"empty_columns": [
"notes2"
],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 1,
... | {
"dataset_summary": "16 rows × 11 columns. Detected 9 column(s) needing cleanup and 3 table-level fix(es).",
"table_operations": [
{
"op": "drop_empty_rows",
"rationale": "Removed 1 fully-empty row(s)."
},
{
"op": "drop_empty_columns",
"columns": [
"notes2"
],
... | [
"drop_empty_rows",
"drop_empty_columns",
"drop_exact_duplicates"
] | [
{
"column": "name",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{
"column": "email",
"type": "email",
"ops": [
"strip_whitespace",
"normalize_email"
]
},
{
"column": "company",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{... | 85 | null |
1,780,806,987.232829 | mock_planner | 16 | 11 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 16,
"n_cols": 11,
"n_exact_duplicate_rows": 2,
"n_empty_rows": 1,
"empty_columns": [
"notes2"
],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 1,
... | {
"dataset_summary": "16 rows × 11 columns. Detected 9 column(s) needing cleanup and 3 table-level fix(es).",
"table_operations": [
{
"op": "drop_empty_rows",
"rationale": "Removed 1 fully-empty row(s)."
},
{
"op": "drop_empty_columns",
"columns": [
"notes2"
],
... | [
"drop_empty_rows",
"drop_empty_columns",
"drop_exact_duplicates"
] | [
{
"column": "name",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{
"column": "email",
"type": "email",
"ops": [
"strip_whitespace",
"normalize_email"
]
},
{
"column": "company",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{... | 85 | null |
1,780,812,651.744785 | mock_planner | 16 | 11 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 16,
"n_cols": 11,
"n_exact_duplicate_rows": 2,
"n_empty_rows": 1,
"empty_columns": [
"notes2"
],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 1,
... | {
"dataset_summary": "16 rows × 11 columns. Detected 9 column(s) needing cleanup and 3 table-level fix(es).",
"table_operations": [
{
"op": "drop_empty_rows",
"rationale": "Removed 1 fully-empty row(s)."
},
{
"op": "drop_empty_columns",
"columns": [
"notes2"
],
... | [
"drop_empty_rows",
"drop_empty_columns",
"drop_exact_duplicates"
] | [
{
"column": "name",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{
"column": "email",
"type": "email",
"ops": [
"strip_whitespace",
"normalize_email"
]
},
{
"column": "company",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{... | 85 | null |
1,780,878,258.791953 | mock_planner | 16 | 11 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 16,
"n_cols": 11,
"n_exact_duplicate_rows": 2,
"n_empty_rows": 1,
"empty_columns": [
"notes2"
],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 1,
... | {
"dataset_summary": "16 rows × 11 columns. Detected 10 column(s) needing cleanup and 3 table-level fix(es).",
"table_operations": [
{
"op": "drop_empty_rows",
"rationale": "Removed 1 fully-empty row(s)."
},
{
"op": "drop_empty_columns",
"columns": [
"notes2"
],
... | [
"drop_empty_rows",
"drop_empty_columns",
"drop_exact_duplicates"
] | [
{
"column": "name",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{
"column": "email",
"type": "email",
"ops": [
"strip_whitespace",
"normalize_email"
]
},
{
"column": "company",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{... | 91 | null |
1,781,061,193.079332 | mock_planner | 60 | 9 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 60,
"n_cols": 9,
"n_exact_duplicate_rows": 0,
"n_empty_rows": 0,
"empty_columns": [],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "email",
"n_missing": 0,
"n_unique": ... | {
"dataset_summary": "60 rows × 9 columns. Detected 7 column(s) needing cleanup and 0 table-level fix(es).",
"table_operations": [],
"columns": [
{
"name": "name",
"detected_semantic_type": "email",
"issues": [],
"operations": [
{
"op": "flag_pii",
"pii_type... | [] | [
{
"column": "name",
"type": "email",
"ops": [
"flag_pii",
"normalize_email"
]
},
{
"column": "email",
"type": "phone",
"ops": [
"flag_pii",
"standardize_phone"
]
},
{
"column": "phone",
"type": "phone",
"ops": [
"flag_pii",
"mas... | 293 | null |
1,781,061,242.289263 | mock_planner | 60 | 9 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 60,
"n_cols": 9,
"n_exact_duplicate_rows": 0,
"n_empty_rows": 0,
"empty_columns": [],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 0,
"n_unique": 5... | {
"dataset_summary": "60 rows × 9 columns. Detected 7 column(s) needing cleanup and 0 table-level fix(es).",
"table_operations": [],
"columns": [
{
"name": "email",
"detected_semantic_type": "email",
"issues": [],
"operations": [
{
"op": "flag_pii",
"pii_typ... | [] | [
{
"column": "email",
"type": "email",
"ops": [
"flag_pii",
"normalize_email"
]
},
{
"column": "phone",
"type": "phone",
"ops": [
"flag_pii",
"standardize_phone"
]
},
{
"column": "ssn",
"type": "phone",
"ops": [
"flag_pii",
"mask... | 256 | null |
1,781,061,354.609229 | mock_planner | 60 | 9 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 60,
"n_cols": 9,
"n_exact_duplicate_rows": 0,
"n_empty_rows": 0,
"empty_columns": [],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 0,
"n_unique": 5... | {
"dataset_summary": "60 rows × 9 columns. Detected 7 column(s) needing cleanup and 0 table-level fix(es).",
"table_operations": [],
"columns": [
{
"name": "email",
"detected_semantic_type": "email",
"issues": [],
"operations": [
{
"op": "flag_pii",
"pii_typ... | [] | [
{
"column": "email",
"type": "email",
"ops": [
"flag_pii",
"normalize_email"
]
},
{
"column": "phone",
"type": "phone",
"ops": [
"flag_pii",
"standardize_phone"
]
},
{
"column": "ssn",
"type": "phone",
"ops": [
"flag_pii",
"mask... | 256 | null |
1,781,061,358.857036 | mock_planner | 16 | 11 | PROFILE AND SAMPLE:
{
"profile": {
"n_rows": 16,
"n_cols": 11,
"n_exact_duplicate_rows": 2,
"n_empty_rows": 1,
"empty_columns": [
"notes2"
],
"columns": [
{
"name": "name",
"pandas_dtype": "str",
"detected_semantic_type": "text",
"n_missing": 1,
... | {
"dataset_summary": "16 rows × 11 columns. Detected 10 column(s) needing cleanup and 3 table-level fix(es).",
"table_operations": [
{
"op": "drop_empty_rows",
"rationale": "Removed 1 fully-empty row(s)."
},
{
"op": "drop_empty_columns",
"columns": [
"notes2"
],
... | [
"drop_empty_rows",
"drop_empty_columns",
"drop_exact_duplicates"
] | [
{
"column": "name",
"type": "text",
"ops": [
"strip_whitespace"
]
},
{
"column": "email",
"type": "email",
"ops": [
"flag_pii",
"strip_whitespace",
"normalize_email"
]
},
{
"column": "company",
"type": "text",
"ops": [
"strip_whitespa... | 94 | null |
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